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<strong>New</strong> <strong>Zealand</strong><br />

<strong>Next</strong> <strong>Generation</strong><br />

<strong>Sequencing</strong><br />

<strong>Conference</strong><br />

Dunedin Art Gallery<br />

Dunedin<br />

<strong>New</strong> <strong>Zealand</strong><br />

21-22 August 2012


!<br />

Contents<br />

Sponsors ................................................................................................. 3<br />

Page<br />

Exhibitors ................................................................................................ 4<br />

Welcome ................................................................................................. 5<br />

General information ................................................................................ 7<br />

Programme<br />

Tuesday 21 st August .................................................................... 9<br />

Wednesday 22 nd August ............................................................ 11<br />

Speaker Biographies and Abstracts ..................................................... 13<br />

Posters .................................................................................................. 28<br />

List of delegates .................................................................................... 29<br />

Page 2


!<br />

Gold Sponsor<br />

At Illumina, our goal is to apply innovative technologies and<br />

revolutionary assays to the analysis of genetic variation and function,<br />

making studies possible that were not even imaginable just a few<br />

years ago. Illumina has developed a comprehensive line of products<br />

that address the scale of experimentation and the breadth of functional<br />

analysis required to achieve the goals of molecular medicine and<br />

marker assisted selection in Agriculture. Our offering includes leadingedge<br />

solutions for: Ultra High-throughput <strong>Next</strong> <strong>Generation</strong><br />

<strong>Sequencing</strong>; Personal <strong>Next</strong> <strong>Generation</strong> <strong>Sequencing</strong>; SNP genotyping;<br />

Copy number variation; DNA methylation studies; Gene expression<br />

profiling; Low-multiplex analysis of DNA, RNA, and protein.<br />

Our products and services are used by a broad range of academic,<br />

government, pharmaceutical, biotechnology, and other leading<br />

institutions around the globe.<br />

Silver Sponsor<br />

Life Technologies is a global biotechnology tools company providing<br />

premier systems, consumables, and services for scientific<br />

researchers around the world. Life Technologies was created by the<br />

combination of Invitrogen Corporation and Applied Biosystems Inc.<br />

in November of 2008. Our customers conduct their research across<br />

the biological spectrum, working to advance personalized medicine,<br />

regenerative science, molecular diagnostics, agricultural and<br />

environmental research, and 21st-century forensics. With more than<br />

50,000 products used by more than 75,000 customers around the<br />

globe, Life Technologies is advancing scientific research in areas<br />

like academic research, drug discovery and development, toxicology<br />

and forensics, disease diagnostics, clinical cell therapy and<br />

regenerative medicine, and biologics manufacturing.Life<br />

Technologies is a strong proponent of global corporate social<br />

responsibility. Through the Life Technologies Foundation, our<br />

company has donated millions of dollars to help demystify the world<br />

of science, empower today’s children to become tomorrow’s<br />

scientific leaders, and deepen society’s appreciation of science. For<br />

more information about Life Technologies, visit<br />

www.lifetechnologies.com<br />

<strong>Conference</strong> Satchel Sponsor<br />

Roche Applied Science (RAS) as part of Roche Diagnostics NZ Ltd has been<br />

providing quality products to researchers in <strong>New</strong> <strong>Zealand</strong> since 1984. With<br />

products ranging from molecular biology kits to real-time PCR instruments<br />

(LightCycler®) to 454 next generation sequencing; Roche is recognised in<br />

<strong>New</strong> <strong>Zealand</strong> for its high quality products and superior technical support.<br />

Some of our leading products include:<br />

LightCycler® - for real-time quantitative PCR, SNP analysis, gene scanning<br />

MagNA Pure LC - automated DNA/RNA extraction and PCR reaction set-up.<br />

GS FLX and GS Junior - revolutionary technology in high throughput<br />

sequencing.<br />

Website www.roche-applied-science.co.nz<br />

Email biochem.nz@roche.com<br />

Phone 0800 652 634<br />

Page 3


!<br />

<strong>Conference</strong> Name Badge Sponsor<br />

NZGL is a collaborative infrastructure providing <strong>New</strong> <strong>Zealand</strong><br />

scientists with access to the significant equipment and bioinformatics<br />

services they need for large-scale genomics projects, thereby<br />

underpinning research in a broad range of areas, including medicine,<br />

agriculture and the environment. NZGL also provides the framework<br />

for coordinating projects, analytical and bioinformatics support, data<br />

storage and sharing. NZGL's infrastructure based at Otago,<br />

Auckland Massey is currently providing sequencing and microarray<br />

services to researchers throughout <strong>New</strong> <strong>Zealand</strong>, with a distributed<br />

team of bioinformaticians providing experimental design and a range<br />

of data analysis services. The final component of providing a fully<br />

integrated NZGL service package will be put in place towards the<br />

end of the year with provision of Bio-IT and IT services.<br />

Exhibitors<br />

HRS has been supplying and supporting software for <strong>New</strong> <strong>Zealand</strong>'s<br />

scientists for more than 20 years. Programmes useful to NGS<br />

delegates are CLC bio Workbenches, STATISTICA and MATLAB<br />

products. CLC bio creates tools for sequencing DNA data, primer<br />

design, molecular cloning, RNA secondary structure prediction,<br />

protein function prediction and protein structure prediction.<br />

STATISTICA is a comprehensive analysis program with excellent<br />

graphing and a superb user interface. The MathWorks<br />

Bioinformatics Toolbox provides an open and extensible environment<br />

in which to explore ideas, prototype new algorithms, and build<br />

applications in drug research, genetic engineering, and other<br />

genomics and proteomics projects.<br />

Those who analyse biochemical pathways will want to see<br />

SimBiology, a product that extends MATLAB with tools for modelling<br />

and simulating in this area. Come to our stand and see these<br />

products demonstrated, or use them yourselves.<br />

Email 2734@hrs.co.nz or call 0800 477 776.<br />

Pacific Laboratory Products is the exclusive distributor for Agilent<br />

Genomics products in <strong>New</strong> <strong>Zealand</strong>. Think <strong>Next</strong> Gen Think Agilent’s<br />

SureSelect Sequence Capture Platform.<br />

Agilent’s SureSelect Target Enrichment System significantly improves<br />

the cost- and process-efficiency of next-generation sequencing. Focus<br />

your next-gen sequencing workflow on key genomic regions of interest<br />

while reducing the cost per sample.<br />

With HaloPlex, you can revolutionise your desktop sequencing<br />

workflow with complete target enrichment in less than a day.<br />

-Library-free target capture in less than a day – all in a single<br />

tube<br />

-Capture from 1kb to 500kb – without sacrificing specificity<br />

-Ideal for Desktop <strong>Sequencing</strong> as well as High-Throughput<br />

NGS Platforms<br />

Page 4


!<br />

Welcome to the 2012 NGS <strong>Conference</strong><br />

!!!<br />

!<br />

Welcome to the fourth annual <strong>New</strong> <strong>Zealand</strong> <strong>Next</strong> <strong>Generation</strong> <strong>Sequencing</strong> <strong>Conference</strong>.<br />

A review of NGS capacity nationwide indicates the impact this technology is having on <strong>New</strong><br />

<strong>Zealand</strong> science. From only two centers offering data generation capability four years ago,<br />

NGS now operates from at least six key research institutions throughout the country. Access to<br />

data generation can be gained through the <strong>New</strong> <strong>Zealand</strong> Genomics Ltd or via the strong<br />

presence in <strong>New</strong> <strong>Zealand</strong> of the newer, smaller bench-top devices: Illumina’s MiSeq, Roche’s<br />

GS Junior and the Ion Torrent from LifeTech. Coupled to this, the cost of data generation has<br />

greatly reduced.<br />

The challenge of obtaining high throughput sequence data has eased but the challenge of<br />

analyzing this data still remains. Every bioinformatician’s time is at a premium. At this year’s<br />

conference we have opened the floor to software providers to discover what sequence analysis<br />

tools are available, what is being developed for the future and how many of these tools are<br />

accessible to the biologist. We hope this session will help ease any analysis bottlenecks by<br />

providing guidance on appropriate analysis tools for your specific research projects.<br />

This year’s program again demonstrates the wide variety of uses for NGS; from pathogen<br />

discovery to epigenetics to the development of computational pipelines for complex genetic<br />

analysis. We have offerings from agriculture, aquaculture, human genetics, native flora and<br />

fauna and beyond. This wonderful mix should provide something to inspire everyone and<br />

promote cross-fertilization between our various disciplines.<br />

As I write this, the ‘final’ number of registrations has come in and shows attendance at this<br />

conference continues to grow. This reinforces the place for NGS in <strong>New</strong> <strong>Zealand</strong> research and<br />

the value of holding an annual meeting centered round this dynamic and rapidly changing<br />

technology.<br />

We hope you all enjoy the conference and your time in Dunedin.<br />

Jo Stanton<br />

High Throughput DNA <strong>Sequencing</strong> Unit<br />

Department of Anatomy, University of Otago!<br />

<strong>Conference</strong> Organising Committee for 2102: Jo Stanton, Lesley Collins, Susan Adams<br />

Page 5


General Information<br />

The Venue<br />

A on the map on the next page.<br />

Both the 2012 <strong>Conference</strong> and the Workshops will be held in the Dunedin Art Gallery, Dunedin,<br />

<strong>New</strong> <strong>Zealand</strong>.<br />

The Dunedin Public Art Gallery’s collection includes an excellent selection of British and<br />

European paintings and works on paper, gifted by generous benefactors or purchased by the<br />

Gallery’s founding organisation, the Dunedin Public Art Gallery Society. Many of the major<br />

figures in Western art since the 15th century are represented, with high points including<br />

paintings by Machiavelli, Claude Lorraine, Rosa, Monet, Pissarro, Reynolds, Gainsborough,<br />

Turner and Burne-Jones. Other international aspects of the collection include Japanese prints,<br />

a small selection of 20th century Australian art, and much of the decorative arts collection,<br />

which ranges across costume, textiles, ceramics, glass and furniture.<br />

Notable <strong>New</strong> <strong>Zealand</strong> artists represented in the collection include George O’Brien, Petrus van<br />

der Velden, C.F. Goldie, Rita Angus, Colin McCahon, Gordon Walters, Ralph Hotere as well as<br />

younger artists like Richard Killeen, Philip Trusttum, Jacqueline Fraser, Peter Robinson and<br />

Michael Parekowhai. Occupying a special place in the collection is the work of painter Frances<br />

Hodgkins, whose father founded the Gallery. Born and raised in Dunedin, she left early in her<br />

career to live and work in England where she gained a significant reputation in the context of<br />

Britain’s Neo-Romantic movement.<br />

Today the Dunedin Public Art Gallery focuses its acquisitions funds on the purchase of<br />

contemporary <strong>New</strong> <strong>Zealand</strong> work, although other areas of the collection continue to be<br />

expanded through gifts and bequests.<br />

<strong>Conference</strong> Dinner<br />

B on the map on the next page.<br />

The <strong>Conference</strong> Dinner will be held at “Etrusco at the Savoy”, an Italian restaurant providing<br />

that authentic Italian experience.<br />

The restaurant is an easy walk from the conference venue, and it should take around two<br />

minutes to walk there. Turn right as you leave the Art Gallery by the main entrance. Walk down<br />

towards Princes Street and turn right into Princes Street. Walk down Princes Street until you<br />

get the next cross-street, Moray Place. Turn right into Moray Place. Etrusco is just around the<br />

corner, on your right hand side, inside a building and up to the first floor.<br />

At the conference dinner there will be wine and orange juice on the tables. If you would like<br />

more to drink than will be provided then this will be for your account.<br />

Parking<br />

C on the map on the next page.<br />

All day parking is available in the Wilson Parking Building behind the Art Gallery, at 54 Moray<br />

Place. They are open everyday from 7am to 2am and charge $2 per hour Monday to Saturday,<br />

or $1 per hour if you are in before 10am. Parking on a Sunday is free. They accept cash and<br />

credit card with a 50c surcharge if you choose to pay by credit card.


!<br />

A = Dunedin Art Gallery<br />

B = Etrusco at the Savoy, venue for the <strong>Conference</strong> Dinner.<br />

C = Entrance to the Wilson carpark<br />

Page 8


!<br />

2012 NGS Programme<br />

Tuesday 21 st August<br />

8.30am<br />

9.00am<br />

Registration and Coffee<br />

Welcome to the 2012 <strong>New</strong> <strong>Zealand</strong> NGS <strong>Conference</strong><br />

Jo Stanton<br />

Session 1<br />

Chair: Richard Spence<br />

9.10am<br />

9.30am<br />

9.50am<br />

10.10am<br />

Earthquake induced stress cardiomyopathy: is it a Mendelian condition<br />

Martin Kennedy<br />

University of Otago<br />

HiSeq transcriptomics to discover genes associated with reproductive<br />

success in kiwi<br />

Kristina Ramstad<br />

Victoria University of Wellington and Illumina<br />

A method for designing NGS transcriptomics experiments that includes insilico<br />

biological replication<br />

Alan McCulloch<br />

AgResearch<br />

Morning Tea<br />

Session 2<br />

Chair: Mike Hendy<br />

10.40am<br />

11.00am<br />

11.20am<br />

Hybrid origin of a parthenogenetic genus: the genomic evidence<br />

Mary Morgan-Richards<br />

Massey University<br />

Reduced representation bisulphite sequencing indicates widespread<br />

epigenetic variation among normal individuals<br />

Aniruddah Chatterjee<br />

University of Otago<br />

Index-free de novo assembly and deconvolution of mixed mitochondrial<br />

genomes<br />

Bennet McComish<br />

Massey University<br />

Page 9


!<br />

11.40am<br />

An update on year two of the PGP Dairy Genomics <strong>Sequencing</strong> project<br />

Michael Keenan<br />

Livestock Improvement Corporation<br />

12:00 pm Lunch<br />

Session 3<br />

Chair: Lesley Collins<br />

1.00pm<br />

International Speaker<br />

A Small Genome Centre’s Adoption of <strong>New</strong> <strong>Generation</strong> DNA <strong>Sequencing</strong><br />

for Research and CORE Service<br />

Si Lok<br />

The Chinese University of Hong Kong<br />

Session 4<br />

Chair: Kristina Ramstad<br />

2.00pm<br />

2.20pm<br />

2.40pm<br />

De novo sequencing of the genome of Streptococcus trichosurus, a new<br />

oral bacterial species isolated from the <strong>New</strong> <strong>Zealand</strong> brushtail possum<br />

Trichosurus vulpecula<br />

Nick Heng<br />

University of Otago<br />

High-throughput Genotyping-by <strong>Sequencing</strong> (GBS) in Sheep<br />

Tracey van Stijn<br />

AgResearch<br />

Using <strong>Next</strong> <strong>Generation</strong> <strong>Sequencing</strong> techniques to identify Single<br />

Nucleotide Polymorphisms in Chinook Salmon<br />

Hayley Baird<br />

AgResearch, Invermay<br />

3:00 pm Afternoon Tea<br />

Session 5<br />

Posters<br />

Chair: Jo Stanton<br />

3.30pm<br />

4.30pm<br />

to 6.30pm<br />

7pm<br />

Poster Speakers – Selected from poster abstracts<br />

8 speakers talking for 5 mins each<br />

See page 27 of the programme for the names of those who will be talking<br />

Poster Session<br />

<strong>Conference</strong> Dinner<br />

Page 10


!<br />

Wednesday 22 nd August<br />

8:45 am Early morning Coffee<br />

Session 6<br />

Chair: Jo Stanton<br />

9:00 am International Speaker<br />

Tailoring high-throughput sequencing approaches to next-generation plant<br />

virology in south-west Australia<br />

Steve Wylie<br />

Murdoch University, Australia<br />

10:00 am Morning Tea<br />

Session 7<br />

Chair: Martin Kennedy<br />

10:30 am Diagnosis of Plant Pathogens using <strong>Next</strong>-<strong>Generation</strong> <strong>Sequencing</strong><br />

Lia Liefting<br />

Ministry for Primary Industries<br />

10.50am<br />

11.10am<br />

11.30am<br />

11.50am<br />

12.10pm<br />

12.30pm<br />

<strong>New</strong> <strong>Zealand</strong> Ostreid herpesvirus – application of high throughput<br />

sequencing in a biosecurity context<br />

Richard Spence<br />

Ministry for Primary Industries<br />

Pipelines, Pedigree & Polymorphism<br />

Chad Harland<br />

Livestock Improvement Corporation<br />

Differential Methylation Analysis using RRBS: Challenges and <strong>New</strong> Insights<br />

Peter Stockwell<br />

University of Otago<br />

Development of epigenomic pipelines for use in agricultural animals<br />

Christine Couldrey<br />

AgResearch<br />

Calling variants in populations with pedigrees<br />

John Cleary<br />

Real Time Genomics<br />

Lunch<br />

Page 11


!<br />

Session 8<br />

Bioinformatics Software<br />

Chair: Lesley Collins<br />

1.30pm<br />

1.50pm<br />

2.00pm<br />

2.10pm<br />

2.20pm<br />

2.30pm<br />

NGS project analysis on small-scale computing (aka You did WHAT on a<br />

laptop)<br />

Lesley Collins<br />

Massey University<br />

Geneious<br />

Shane Sturrock, Senior Scientist – Geneious Support and Professional Services<br />

Real Time Genomics<br />

Graham Gaylard, Founder<br />

LifeTech<br />

John Davis, Senior Field Bioinformatics Scientist<br />

<strong>New</strong> <strong>Zealand</strong> Genomics Limited<br />

Tony Lough, Chief Executive<br />

CLC<br />

Ray Hoare, Hoare Research Software<br />

Session 9<br />

Gold Sponsor Presentation<br />

Chair: Jo Stanton<br />

2.40pm<br />

Current and imminent state of the art for Illumina’s sequencing<br />

technologies<br />

Brian Fritz<br />

Illumina<br />

2.55pm<br />

Afternoon Tea<br />

3.20pm<br />

Poster Prizes Awarded<br />

Jo Stanton<br />

3.45 pm <strong>Conference</strong> Close<br />

Lesley Collins<br />

Page 12


!<br />

Speaker Biographies and Abstracts<br />

Listed in the order they appear in the Programme<br />

Session 1<br />

Earthquake induced stress cardiomyopathy: is it a Mendelian condition<br />

Martin Kennedy<br />

Department of Pathology, University of Otago, Christchurch<br />

Biography<br />

Martin Kennedy obtained his PhD in bacterial<br />

genetics at the University of Auckland, and carried<br />

out postdoc research in leukaemia genetics at the<br />

Laboratory of Molecular Biology, Cambridge (UK)<br />

before returning to Christchurch, <strong>New</strong> <strong>Zealand</strong> in<br />

1991. His current research interests include the<br />

genetics of complex disease, gene by environment<br />

interactions, and pharmacogenomics. He also<br />

holds a Marsden grant to examine the role of G-<br />

quadruplex structures in DNA and their relevance<br />

to genomic imprinting<br />

Abstract<br />

The major earthquakes of 4th September 2010 and<br />

22nd February 2011 both triggered case clusters of<br />

a rare condition called stress cardiomyopathy (also<br />

known as broken heart syndrome or Takotsubo<br />

cardiomyopathy). Many of these patients received<br />

critical care in the coronary care unit of<br />

Christchurch Hospital, and some required intensive<br />

care with ventilatory support, but ultimately all<br />

survived. The resulting very well characterised,<br />

tightly homogenous cohort of 30 patients is<br />

unprecedented. Almost all patients presenting with<br />

the condition were post-menopausal females,<br />

consistent with other reports. This provides a<br />

unique opportunity to study the underlying causes<br />

and presentation of this perplexing disorder. The<br />

exact aetiology of stress cardiomyopathy remains<br />

unknown with catecholamine induced myocardial<br />

stunning a proposed pathway. Many forms of<br />

cardiomyopathy have genetic origins, and it is<br />

reasonable to propose that this syndrome arises<br />

from a very rare underlying genetic predisposition<br />

that is exposed in times of major, acute stress. We<br />

hypothesised that stress cardiomyopathy is a rare<br />

Mendelian predisposition that is exposed with<br />

acute major stress. The rarity of the underlying<br />

mutation requires that large numbers of people<br />

must be exposed to the stressor, which only<br />

happens in times of natural disaster such as major<br />

earthquakes. This is rather speculative, although<br />

two prior reports describe occurrence of the<br />

syndrome in relatives. Exome sequencing provides<br />

a method to test this hypothesis. We obtained<br />

exome data on 12 of the Christchurch earthquake<br />

stress cardiomyopathy patients using Illumina<br />

TruSeq exome enrichment and the Illumina HiSeq<br />

platform (<strong>New</strong> <strong>Zealand</strong> Genomics Ltd). The data<br />

have been processed through the GATK pipeline,<br />

and we are examining candidate variants that<br />

occur in patient samples with a higher than<br />

expected distribution based on 1000 Genomes<br />

Project data. This presentation will describe these<br />

preliminary analyses and some of the pitfalls<br />

encountered so far.<br />

Page 13


!<br />

HiSeq transcriptomics to discover genes associated with reproductive success in kiwi<br />

Kristina Ramstad<br />

Victoria University of Wellington<br />

Biographies<br />

Kristina Ramstad completed a PhD in Ecological<br />

Genetics at the University of Montana, USA. She<br />

emigrated to <strong>New</strong> <strong>Zealand</strong> in 2006 to conduct<br />

postdoctoral research with the Allan Wilson Centre<br />

at Victoria University of Wellington. Kristina<br />

research focuses on mechanisms (genetic drift,<br />

selection, migration and mutation) and patterns of<br />

diversification within and among species. She has<br />

worked with a diverse array of taxa, including<br />

sockeye salmon, tuatara and, most recently,<br />

kiwi. Applied species conservation is the primary<br />

goal of her work.<br />

Abstract<br />

Little spotted kiwi (LSK) and rowi have the smallest<br />

population sizes and lowest neutral genetic<br />

diversity of the five currently recognized species of<br />

kiwi (Family Apterygidae). Both LSK and rowi<br />

exhibit low hatching success and high variance in<br />

reproductive success. The latter effect is<br />

particularly dramatic in rowi where a full third of<br />

adult birds do not breed. Poor reproductive<br />

performance may be due to historical bottleneck<br />

effects and the subsequent inbreeding effect of<br />

small population size. We have performed RNAsequencing<br />

of 16 individual kiwi across the two<br />

species from whole blood isolates. As there is no<br />

current genome, we performed transcriptome de<br />

novo assembly using a subset of the read<br />

data. The de novo assembly output identified<br />

13,000 unique protein coding transcripts with<br />

homology to human and/or chicken. More than<br />

3,000 of these transcripts are predicted to cover the<br />

full length of the ORF and a majority of the<br />

remainder nearly full length. Realignment of each<br />

species against the reference easily identified<br />

numerous SNPs/indels, with high confidence that<br />

they represent species and individual specific<br />

markers. These mutations are being evaluated for<br />

changes to known breeding genes and will act as<br />

markers for determining genetic variation among<br />

individuals with varying reproductive success.<br />

A method for designing NGS transcriptomics experiments that includes in-silico<br />

biological replication<br />

Alan McCulloch<br />

AgResearch<br />

Biography<br />

Abstract<br />

Alan McCulloch is a bioinformatics software<br />

engineer at AgResearch in Dunedin who has<br />

worked on postgres and oracle sequence and gene<br />

expression database design and management,<br />

sequence clustering and assembly pipeline and<br />

method design and implementation, NGS<br />

processing and pipelines, HPC systems<br />

architecture and administration, and everything in<br />

between. Pre human-genome he was involved in<br />

helping set up a clinical trials research unit at<br />

Auckland University, including database design,<br />

implementation, management and reporting,<br />

treatment randomisation design and<br />

implementation, for several large international<br />

clinical trials. He has a Bachelors degree in<br />

Mathematics and Philosophy from Canterbury<br />

University.<br />

Page 14<br />

An NGS transcriptomics experiment usually<br />

involves alignment of the sequenced transcripts to<br />

a reference ‘ome (genome or transcriptome), in<br />

order to identify and quantify the expressed loci.<br />

However a given reference ‘ome is but a single<br />

sample from a large space of potential alternative<br />

assembled ‘omes. Because we only take a single<br />

sample from this ‘ome space (either we choose an<br />

‘ome assembled by somebody else, or we<br />

assemble one on the fly ourselves), the experiment<br />

provides no information at all about the influence<br />

our sample of reference ‘ome has on NGS<br />

expression observations, yet there is evidence that<br />

reference ‘ome assemblies can vary significantly<br />

due to both technical factors and underlying<br />

genetic variation. While it is straightforward to align<br />

transcripts to multiple references, establishing the


!<br />

homology relationships between the references<br />

needed to compare the results is difficult, and this<br />

cannot be fully automated, so that this type of insilico<br />

biological replication is seldom if ever<br />

included in experimental designs. Here we suggest<br />

a method for designing NGS transcriptomics<br />

experiments that includes in-silico biological<br />

replicates, in a way that could be automated and<br />

included as part of a standard NGS transcriptomics<br />

pipeline. This design would deliver stabler NGS<br />

transcriptomics assay results robust against<br />

common variations in reference `ome, and may<br />

extend the applicability of NGS transcriptomics to<br />

more highly variable species, in which NGS<br />

expression observations obtained from alignment<br />

to a single reference `ome may be too unreliable to<br />

be useable.<br />

Session 2<br />

Hybrid origin of a parthenogenetic genus: the genomic evidence<br />

Mary Morgan-Richards<br />

Massey University<br />

Biography<br />

Mary Morgan-Richards is an academic within the<br />

Ecology Group at Massey University, Palmerston<br />

North. She and her research group<br />

(http://evolves.massey.ac.nz) study speciation,<br />

evolutionary ecology and conservation genetics<br />

using endemic <strong>New</strong> <strong>Zealand</strong> animals (weta, stick<br />

insects, snails). Mary gained her PhD from Victoria<br />

University of Wellington, she then did postdoctoral<br />

fellowships at the University of St Andrews,<br />

Scotland, University of Otago NZ, the Natural<br />

History Museum London UK, and University of<br />

Canterbury NZ. She has experience working with<br />

plants, and animals, invasive species and<br />

endangered species and is interested in using NGS<br />

datasets for testing theories in evolutionary biology.<br />

Abstract<br />

Hybridization between species can combine<br />

divergent genomes and create new species when<br />

reproductive isolation from parentals accompanies<br />

the novel genome fusion (Bullini 1994). It has been<br />

estimated that approximately 70% of plants are the<br />

result of allopolyploidy. Hybrid species can be<br />

recognized by the presence of alleles distinct to<br />

two species co-occurring in the same genome.<br />

A hybrid origin for an endemic <strong>New</strong> <strong>Zealand</strong> genus<br />

of stick insects (Acanthoxyla) was suggested<br />

(Morgan-Richards & Trewick 2005) with the related<br />

bisexual species, Clitarchus hookeri, named as a<br />

putative paternal species. A maternal bisexual<br />

species has not been identified and is likely to be<br />

extinct (Trewick et al. 2008; Buckley et al. 2010). It<br />

is also likely that some lineages of Acanthoxyla are<br />

triploid, and it is possible that Clitarchus hookeri<br />

was not involved in the origin of all Acanthoxyla<br />

species (Buckley et al. 2008; Myers et al. unpub).<br />

Page 15<br />

<strong>Next</strong> generation DNA sequencing provides large<br />

datasets for testing hybrid origin hypotheses and<br />

here we set out a procedure for evaluating such<br />

data. Using de novo assembled transcripts to<br />

compare ‘allelic’ diversity in putative hybrids and<br />

their putative parents, we have used mRNA<br />

sequences to examine the allelic diversity within<br />

one Acanthoxyla lineage and compared this to<br />

homologous gene sequences from Clitarchus<br />

hookeri. The hybrid origin hypothesis predicts that<br />

at each locus Acanthoxyla will contain an allele<br />

similar to that of Clitarchus hookeri, and one allele<br />

from the unidentified maternal ancestor. If


!<br />

Acanthoxyla is not of hybrid origin then the two<br />

alleles within Acanthoxyla will be more similar to<br />

each other than either is to the Clitarchus hookeri<br />

alleles. We also present evidence to address the<br />

questions: Is Acanthoxyla diploid or triploid And<br />

does Acanthoxyla use apomictic or automictic<br />

parthenogenesis to reproduce<br />

Reduced representation bisulphite sequencing indicates widespread epigenetic variation<br />

among normal individuals<br />

Aniruddah Chatterjee<br />

University of Otago<br />

Biography<br />

Aniruddha Chatterjee obtained his BSc (triple<br />

major in biotechnology, biochemistry and<br />

chemistry) from Osmania University, Hyderabad<br />

and MSc in biotechnology from VIT University,<br />

Vellore, India. Aniruddha is member of Professor<br />

Ian Morison’s group and is based in the department<br />

of Pathology at the University of Otago.<br />

Aniruddha’s current research focuses on<br />

unraveling epigenetic signatures in humans. He is<br />

using the technique of reduced representation<br />

bisulphite sequencing (RRBS) to quantify human<br />

methylomes. He played a key role in establishing<br />

an analysis pipeline to analyze large-scale<br />

methylation data and further developing advanced<br />

(together with Dr. Peter Stockwell) tools which<br />

enables bench-scientists to analyze complex<br />

epigenomic data at greater ease. His methods has<br />

applicability to other species, for e.g., zebrafish and<br />

the findings will be a big step forward in<br />

understanding the role of specific epigenetic marks<br />

in normal individuals. DNA methylation analysis of<br />

human genome at this global scale is one of the<br />

first attempts made in <strong>New</strong> <strong>Zealand</strong>. Aniruddha<br />

was awarded the “AGRF Young Investigator<br />

Award” in 2011 (Melbourne, Australia) in<br />

appreciation of his work.<br />

Abstract<br />

Detailed understanding of inter-individual variation<br />

in epigenetic signatures will help establish their role<br />

in altering gene expression, disease susceptibility<br />

and phenotype. We are quantifying the methylation<br />

status of almost 24,633 CpG islands (87% of all<br />

CpG islands in the genome, 18,500 of which are<br />

promoter associated) across a normal human<br />

population, by using reduced representation<br />

bisulfite sequencing (RRBS) (1) . Good sequencing<br />

results have been obtained for seven individuals<br />

(Illumina) and more libraries are being sequenced.<br />

We establised an effective bioinformatics pipeline<br />

for analysing genome-scale DNA methylation data<br />

(2). Further, new command line tool (DMAT) is<br />

being developed to detect differential methylation<br />

patterns and identify genes involved. Then by<br />

focussing on genes that show inter-individual<br />

variation, we will explore specific cohorts to<br />

document epigenetic influences on human<br />

phenotypes and disease.<br />

Index-free de novo assembly and deconvolution of mixed mitochondrial genomes<br />

Bennet McComish<br />

Massey University<br />

Biography<br />

Bennet McComish obtained his BSc and MPhil<br />

from Massey University in the 1990s. He is<br />

currently completing his PhD in computational<br />

biology under the supervision of David Penny, also<br />

at Massey University. Bennet's PhD research<br />

covers several areas of sequence analysis,<br />

including assembly of next-generation sequence<br />

Abstract<br />

In order to make use of the high throughput<br />

available with next-generation sequencing<br />

technology, we developed a pipeline for<br />

sequencing and de novo assembly of multiple<br />

mitochondrial genomes without the costs of<br />

indexing. We first used simulations to explore the<br />

ability of existing sequence assembly algorithms to<br />

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data, estimation of mutation rates, and<br />

phylogenetics.<br />

separate and assemble sequences from different<br />

sources. Once optimised, the same methods were<br />

successfully applied to reads from a single lane of<br />

an Illumina Genome Analyzer flow cell containing a<br />

mixture of PCR products from six different<br />

mitochondrial genomes. More recently, we applied<br />

a modified version of the same pipeline to four<br />

more mixtures, this time using total genomic DNA,<br />

and successfully assembled 17 mitochondrial<br />

genomes.<br />

An update on year two of the PGP Dairy Genomics <strong>Sequencing</strong> project<br />

Michael Keenan<br />

Livestock Improvement Corporation<br />

Biography<br />

Mike Keehan is a Senior Bioinformaticist at LIC.<br />

He is currently involved in the LIC genomic<br />

selection project and the Primary Growth<br />

Partnership Dairy Genomics project. With a career<br />

background in applied mathematics, software<br />

development and systems administration he has<br />

undertaken a variety of bioinformatics tasks for LIC.<br />

Mike has a masters degree in Operations<br />

Research and a post graduate diploma in Science<br />

from Massey University. He is interested in<br />

obtaining genotype phase from sequence read<br />

information and in the application of population<br />

deNovo assemblers.<br />

Abstract<br />

The second year of the Dairy PGP project will have<br />

seen LIC and Vialactia receive an additional 11<br />

TBase of whole genome sequence data.<br />

Preliminary results from applying this tranche of<br />

data to phase and impute whole genome sequence<br />

from 50K SNP chips will be presented. Practical<br />

experiences from year one and two will be<br />

summarised. The state of the bovine genome<br />

assembly will be discussed. The project offers an<br />

opportunity for biologists who would like to examine<br />

a large whole genome population dataset.<br />

Session 3<br />

A Small Genome Centre’s Adoption of <strong>New</strong> <strong>Generation</strong> DNA <strong>Sequencing</strong> for Research<br />

and CORE Service<br />

Si Lok<br />

The Chinese University of Hong Kong<br />

Biography<br />

Professor Si Lok has 20 years experience in the bioindustrial<br />

sector and academia. At ZymoGenetics (Novo<br />

Nordisk) he helped develop technologies establishing<br />

the company as a world leader in therapeutic protein<br />

discovery. His team discovered the long sought and<br />

contested megakaryocytic-lineage growth factor,<br />

Thrombopoietin (TPO). As principal scientist, he<br />

instigated massive scale sequencing of cDNA libraries<br />

driving the company’s pioneering use of EST mining to<br />

discover new biologic entities that contributed to the<br />

company’s successful IPO in 2002. Since 2007, he was<br />

the Chair Professor of Genomic Medicine and the<br />

Scientific Director of the Genome Research Centre of<br />

Hong Kong University and most recently as Professor of<br />

Practice in Applied Genomics at the Chinese University<br />

of Hong Kong where his small group continues to<br />

Abstract<br />

<strong>New</strong> generation DNA sequencing offers<br />

unique opportunities and challenges to a small<br />

genome centre. At our centre, we focus the<br />

use of the technologies and expertise for<br />

difficult collaborative projects not generally<br />

suited for the routine commercial service<br />

providers. The present talk highlights the<br />

latest technologies, methodologies and<br />

applications in the field as well as some of our<br />

centre’s efforts. We compare solution-based<br />

hybridization enrichment and high throughput<br />

Amplicon-based targeted resequencing of<br />

exomes or candidate genes. The newly<br />

established RainDance platform for massively<br />

parallel amplicon generation combined with<br />

454-pyrosequencing is particularly powerful for<br />

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develop genomics technology and translate their use in<br />

research and discovery. His group assumes a lead role<br />

in nano-scale and strand-specific cDNA library<br />

construction to dissect regulatory pathways, and the use<br />

of targeted sequencing to identify mutations contributing<br />

to diseases. Professor Lok has also developed methods<br />

for pair-end read sequencing of up to 50-kb separation<br />

to identify genomic rearrangements that are otherwise<br />

not readily detectable. Under his leadership, the centre<br />

has begun to apply genomics in the non-medical<br />

disciplines.<br />

small targeting studies. Other research efforts<br />

are in the areas methylomics, transcriptomics,<br />

and pathogenic genomics where the power of<br />

DNA sequencing is used to identify emerging<br />

pathogens and to study host and pathogen<br />

interactions.<br />

Session 4<br />

De novo sequencing of the genome of Streptococcus trichosurus, a new oral bacterial<br />

species isolated from the <strong>New</strong> <strong>Zealand</strong> brushtail possum Trichosurus vulpecula<br />

Nick Heng<br />

University of Otago<br />

Biography<br />

Nick Heng is currently a senior lecturer in the<br />

Department of Oral Sciences (Faculty of Dentistry),<br />

University of Otago. Over the past decade or so, he<br />

has been “moving up” in the microbiological world,<br />

starting with gastrointestinal bacteria (PhD<br />

research), rumen microbiology (postdoctoral<br />

studies) and now oral bacterial species. His<br />

primary research expertise is in prokaryotic<br />

(bacterial) genetics and his current research<br />

projects that involve the use of next-generation<br />

DNA sequencing platforms are: (i) whole-genome<br />

sequencing of oral bacteria (from any source), and<br />

(ii) surveying the oral microbiota in health and<br />

disease. Nick’s other research interests include<br />

oral immunology and oral pathology but he does<br />

not claim, in any way, to be proficient in either.<br />

Abstract<br />

Members of the bacterial genus Streptococcus<br />

inhabit a multitude of sites in humans and many<br />

animals. Whilst some species are pathogenic, most<br />

are commensals. During a recent survey of oral<br />

streptococci from <strong>New</strong> <strong>Zealand</strong> brushtail possums<br />

(Trichosurus vulpecula), a new species<br />

(provisionally called Streptococcus trichosurus)<br />

was identified. The genome of S. trichosurus was<br />

sequenced using the new Ion 318 sequencing<br />

chip in combination with the Life Technologies Ion<br />

Torrent-based Personal Genome Machine, yielding<br />

~485 Mbp (~210-fold coverage) of sequence data.<br />

Here, the draft S. trichosurus genome sequence is<br />

presented and the bioinformatic procedures<br />

associated with its assembly are discussed.<br />

High-throughput Genotyping-by <strong>Sequencing</strong> (GBS) in Sheep<br />

Tracey van Stijn<br />

AgResearch<br />

Biography<br />

Tracey van Stijn is a research associate working<br />

for AgResearch Animal Genomics at Invermay.<br />

Her main focus previously was on identifying<br />

genes and polymorphisms that affect meat traits<br />

in the <strong>New</strong> <strong>Zealand</strong> Sheep industry. She assisted<br />

in sequencing for the Sheep HapMap project,<br />

which led to the currently used 50K SNP Chip.<br />

Her current project is to optimise Genotyping by<br />

<strong>Sequencing</strong> methods in agricultural species.<br />

Abstract<br />

Recent advances in next generation sequencing<br />

technology have increased the output/cost to a level<br />

that now allows for the potential of GBS in<br />

livestock. We have explored GBS in sheep with the<br />

aim of developing a cost effective, reproducible and<br />

high-throughput SNP genotyping method that can be<br />

manipulated to return varying genome<br />

coverage. Restriction enzymes have been employed<br />

together with adapter based multiplexing for next<br />

generation sequencing, a technique that has been<br />

well established for high-density SNP discovery and<br />

genotyping in numerous species. We utilised the<br />

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GBS method described by Elshire et al., 2011 (PLoS<br />

ONE 6:e19379), however, through the addition of<br />

specific nucleotides within and following the<br />

restriction enzyme cut site to the PCR primer we are<br />

able to reduce the complexity of the genome in a<br />

controlled manner. Varying the number of samples<br />

and the ‘size’ of the reduced genome per lane on an<br />

Illumina HiSeq2000 allows for differing magnitudes<br />

of SNPs to be genotyped and interrogated. The<br />

method for reducing the complexity of the genome,<br />

sequencing and bioinformatics pipeline for GBS in<br />

sheep will be presented.<br />

Using <strong>Next</strong> <strong>Generation</strong> <strong>Sequencing</strong> techniques to identify Single Nucleotide<br />

Polymorphisms in Chinook Salmon<br />

Hayley Baird<br />

AgResearch, Invermay<br />

Biography<br />

Hayley Baird graduated from Otago University with<br />

a BSc(Hons) in microbiology. She is now a<br />

research associate for AgResearch Animal<br />

Genomics at Invermay. The majority of her time<br />

over the last few years has involved working with<br />

the Illumina iSCAN in particular the sheep 50 and<br />

5k chips, however the area of her research<br />

thatsheI’ll be talking about is the Aquaculture<br />

industry and the process of creating a SNP chip for<br />

Chinook salmon.<br />

Abstract<br />

Understanding and improving feed conversion<br />

efficiency (FCE) in farmed <strong>New</strong> <strong>Zealand</strong> Chinook<br />

salmon is a high priority for the industry. A<br />

research programme has been established with<br />

two main goals: 1) tank-based performance and<br />

genetic evaluation of 160 families focussing on<br />

growth, feed intake, body fat and FCE and 2) the<br />

development of a new panel of single nucleotide<br />

polymorphism (SNP) markers that will be used to<br />

search for markers linked to QTL. Since there is no<br />

salmon genome assembly available we had to<br />

come up with a strategy that did not require a<br />

reference genome. We utilised three different nextgeneration<br />

sequencing platforms (454, SOLiD and<br />

Illumina HiSeq) to take us straight to SNPs. After<br />

stringent filtering we arrived at 95,000 SNPs.<br />

Comparative genomics indicated that these SNPs<br />

were evenly distributed across the salmon genome.<br />

An Illumina 6K SNP chip has been developed and<br />

4 large families genotyped for mapping and<br />

eventual QTL analysis.<br />

Session 6<br />

Tailoring high-throughput sequencing approaches to next-generation plant virology in<br />

south-west Australia<br />

Steve Wylie<br />

Murdoch University, Australia<br />

Biography<br />

Steve Wylie attended Otago University in the<br />

1980s and completed an honours degree in the<br />

botany department before moving to Western<br />

Australia to study plant viruses of pasture legumes<br />

for his PhD. The chance discovery of viruses in<br />

Abstract<br />

Given the great age of the Australian continent,<br />

high endemism amongst its plant flora, and the<br />

varied ecosystems present, we hypothesised that<br />

its indigenous viral flora would be much richer than<br />

that currently described. Many exotic plants and<br />

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wild plants there sparked an ongoing interest in the<br />

roles of viruses of the indigenous flora. Currently<br />

his focus is on the threatened terrestrial orchid flora<br />

of the southwestern corner of Australia.<br />

virus vectors have become established in Australia<br />

over the past two centuries, and we also predicted<br />

that the indigenous flora would be suffering<br />

invasion by aggressive exotic viruses inadvertently<br />

imported in these new species. We are testing<br />

these hypotheses on a range of indigenous and<br />

exotic plant groups, with a focus on terrestrial<br />

orchids, a group of conservation<br />

concern. Approaches used to identify RNA viruses<br />

include sequencing RNA from single plants;<br />

sequencing RNA pooled from multiple plants<br />

coupled with subsequent matching of plants and<br />

viruses found; sequencing small RNA species<br />

generated by plants in defense of viruses; labeling<br />

RNA from individual plants before pooling and<br />

sequencing; and developing methods to enrich<br />

plant RNA for viral transcripts before<br />

sequencing. The pros and cons of the various<br />

approaches tested will be discussed, as will<br />

implications of this work on conservation<br />

management and biosecurity policy.<br />

Session 7<br />

Diagnosis of Plant Pathogens using <strong>Next</strong>-<strong>Generation</strong> <strong>Sequencing</strong><br />

Lia Liefting<br />

Plant Health and Environment Laboratory, Ministry for Primary Industries<br />

Biography<br />

Lia Liefting has many years experience in working<br />

with plant pathogens, especially bacteria-like<br />

organisms (phytoplasmas and liberibacters). After<br />

completing her PhD at the University of Auckland,<br />

Lia spent 5 years as a postdoctoral scholar at the<br />

University of California, Davis. During this time she<br />

sequenced the complete genome of a<br />

phytoplasma, before the era of NGS<br />

technology. On return to <strong>New</strong> <strong>Zealand</strong>, Lia worked<br />

on a Marsden grant to sequence the genome of the<br />

phytoplasma that is killing our cabbage trees. Lia<br />

currently works at the Plant Health and<br />

Environment Laboratory, Ministry for Primary<br />

Industries performing plant disease diagnostics.<br />

Abstract<br />

MPI’s Plant Health and Environment Laboratory is<br />

responsible for the identification of new pests and<br />

diseases affecting plants, plant products and the<br />

environment. In some cases identification can take<br />

an extended period, especially for new pathogens<br />

and emerging diseases. Metagenomic analysis<br />

using next-generation sequencing (NGS) has the<br />

potential to detect the full spectrum of pathogenic<br />

organisms in a single test. Therefore this<br />

technology is being implemented in our laboratory<br />

for plant pathogen diagnosis. Our strategy is to<br />

use total RNA in order to detect all pathogen<br />

types. The processes involved in the preparation<br />

of the RNA for NGS will be described as well as<br />

validation of the method on at least one<br />

representative from each of the major groups of<br />

plant pathogens and genome types.<br />

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<strong>New</strong> <strong>Zealand</strong> Ostreid herpesvirus – application of high throughput sequencing in a<br />

biosecurity context<br />

Richard Spence<br />

Bacteriology and Aquatic Animal Diseases Team, Investigation and Diagnostic Centre,<br />

Compliance and Response, Ministry for Primary industries<br />

Biography<br />

Richard Spence has worked for the last three<br />

and a half years as a Senior Scientist at the<br />

Investigation and Diagnostic Centre, Ministry for<br />

Primary Industries. Prior to working in <strong>New</strong><br />

<strong>Zealand</strong> Richard worked as a Clinical Scientist in<br />

the NHS running a molecular diagnostics<br />

laboratory within a clinical microbiology<br />

department. He has a PhD in molecular<br />

diagnostics from the University of Nottingham.<br />

Richard's main area of interest is the application<br />

of molecular tools for identification and<br />

characterisation of new and/or emerging<br />

pathogens.<br />

Abstract<br />

In November 2010 the Ministry for Primary Industries<br />

(formerly MAF) was notified of high mortality levels in<br />

juvenile Pacific oysters in the North Island of <strong>New</strong><br />

<strong>Zealand</strong>. Ostreid herpesvirus was identified in<br />

association with the mortalities. Ostreid herpesvirus<br />

has plagued the European Pacific Oyster industry for<br />

over a decade resulting in significant economic<br />

losses. Although it appears the virus has been<br />

present in <strong>New</strong> <strong>Zealand</strong> for several years this was<br />

the first significant mortality event associated with<br />

the virus in <strong>New</strong> <strong>Zealand</strong>. A metagenomic analysis<br />

of highly infected oyster larvae was undertaken using<br />

the Roche GS Junior sequencer to try and facilitate a<br />

better understanding of factors contributing to the<br />

mortality event. Primary analysis of the data resulted<br />

in assembly of an Ostreid herpesvirus genome<br />

against a reference genome. More detailed analysis<br />

revealed that the <strong>New</strong> <strong>Zealand</strong> Ostreid herpesvirus<br />

harboured several significant deletions in<br />

comparison to the reference genome. In addition, de<br />

novo assemblies performed on the data identified the<br />

presence of a number of Vibrio species that may<br />

also have contributed to the observed<br />

mortalities. Further analysis of this data set is<br />

focused on the observed differences between the<br />

<strong>New</strong> <strong>Zealand</strong> Ostreid herpesvirus and the reference<br />

genome and what impact this may have on the<br />

pathogenicity of the strain.<br />

Pipelines, Pedigree & Polymorphism<br />

Chad Harland<br />

Livestock Improvement Corporation<br />

Biography<br />

Chad Harland graduated from University of<br />

Canterbury with an MSc in Biochemistry. As a<br />

member of the LIC Bioinformatics team he has<br />

been heavily involved in analysis of the first<br />

phase of the Dairy PGP sequencing project.<br />

During which he focusing on the testing and<br />

developing the Bioinformatics pipelines that can<br />

scale from tens of sequenced individuals to<br />

hundreds of sequenced individuals while<br />

making maximal use of existing genotype and<br />

pedigree data.<br />

Abstract<br />

A variety of different bioinformatics pipelines exist for<br />

NGS datasets, each with slightly different trade offs.<br />

Having tested a number of these pipelines for the<br />

DairyPGP project we have settled on a mixed solution<br />

that offers high performance, high sensitivity and<br />

specificity for SNP and Indel detection. Secondly due<br />

to the population structure of the NZ Dairy Herd we<br />

have a significant amount of Pedigree information that<br />

can be used to improve Variant calling. As such we<br />

have looked at the use of trios, pedigree and<br />

Mendelian inheritance of variants in Variant calling<br />

and filtering and will discuss the tools used and the<br />

advantage this additional information provides.<br />

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Differential Methylation Analysis using RRBS: Challenges and <strong>New</strong> Insights<br />

Peter Stockwell<br />

University of Otago<br />

Biography<br />

Peter Stockwell started a PhD in protein chemistry<br />

at Otago University but was diverted on to<br />

numerical projects, including population genetics<br />

and early DNA sequence data<br />

handling. Postdoctoral work at ICRF, London,<br />

established the importance of computational<br />

methods and homology comparisons as tools in the<br />

developing field of biological sequence<br />

analysis. Subsequent work has included the<br />

development of SW tools for sequence analysis<br />

and assembly and data mining of sequence data<br />

repositories. The size and complexity of sequence<br />

data has evolved rapidly alongside computational<br />

resources and Peter has used a variety of<br />

computer languages in order to handle data in<br />

practical time frames. Most recently, Peter has<br />

been working on the processing of data from NGS<br />

Reduced Representation Bisulphite Sequence work<br />

in association with Aniruddha Chatterjee and<br />

Professor Ian Morison and has an involvement with<br />

N.Z. Genomics Limited.<br />

Abstract<br />

Reduced Representation Bisulphite <strong>Sequencing</strong><br />

(RRBS) resolves DNA methylation status at basepair<br />

resolution and enriches for promoter<br />

associated CpG islands (CGI) in the<br />

genome. Since CGI methylation plays a key role in<br />

the epigenetic regulation of gene expression, there<br />

is interest in elucidating differential methylation<br />

patterns of CGIs and neighbouring genes in normal<br />

individuals and in disease conditions. We describe<br />

the unique challenges associated with DNA<br />

methylation data analysis and our efforts in<br />

quantifying differentially methylated regions in<br />

RRBS contexts and in relating them to known<br />

genomic elements. The challenges relate to the<br />

nature and volume of data, the sizes of genomes<br />

and the complexity of scanning for differential<br />

methylation of RRBS fragments which are<br />

discontinuously distributed along the genome..<br />

Development of epigenomic pipelines for use in agricultural animals<br />

Christine Couldrey<br />

AgResearch<br />

Biography<br />

Christine Couldrey's career has been dominated<br />

by molecular biology, although her fields of study<br />

have varied considerably. She completed a PhD<br />

reproductive biology at Cambridge University in the<br />

Laboratory of Nobel Laureate Sir Martin<br />

Evans. From there she completed a postdoctoral<br />

position at the National Institutes of Health<br />

investigating the role of epithelial stem cells in<br />

breast cancer. This stem cell work led to a second<br />

postdoctoral position with the American Red Cross<br />

identifying genes involved in hematopoietic stem<br />

cell signalling. A short stint curating DNA<br />

sequences for GenBank provided her with a<br />

greater understanding of the intricacies of DNA,<br />

after which she headed back to <strong>New</strong> <strong>Zealand</strong> to<br />

work at AgResearch, where she has been<br />

investigating epigenetic nuclear reprogramming (in<br />

particular DNA methylation) in large animal cloning.<br />

More recentlyshe has been adapting protocols for<br />

genome wide DNA methylation analysis (reduced<br />

representation bisulfite sequencing) used in<br />

humans and mice to agricultural animals with the<br />

ultimate goal in using epigenetics to improve<br />

production efficiency and performance.<br />

Abstract<br />

The creation of single nucleotide polymorphism<br />

chips and the development of genome wide<br />

selection will allow the animal breeding industry to<br />

take a quantum leap in the rate of genetic<br />

progress. However, soon all sequence variations in<br />

each individual in closed breeding schemes will be<br />

known. What is not currently known is how to rank<br />

these variations, especially those that involve<br />

changes in gene expression rather than amino acid<br />

sequence. One of the key determinants in the<br />

control of gene expression in mammals is DNA<br />

methylation – a mechanism known to play a central<br />

role in regulating many aspects of growth and<br />

development. High-throughput sequencing has<br />

recently become a vital tool in the analysis of DNA<br />

methylation and reduced representation bisulfite<br />

sequencing (RRBS) has proven to be effective in<br />

understanding DNA methylation landscapes.<br />

However, to date, mammalian genome wide<br />

epigenetic studies have focused on humans and<br />

mice. Here we describe development of RRBS in<br />

sheep. The Carwell phenotype, used as a proof of<br />

principle, is a desirable inherited muscular<br />

hypertrophy for which, in spite of considerable<br />

resequencing efforts, the causative mutation has<br />

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not been identified. Muscle DNA was used for<br />

RRBS and epigenomic pipeline development to<br />

generate single nucleotide resolution analysis of<br />

DNA methylation in sheep. Sequence read quality<br />

was assessed and displayed the expected<br />

nucleotide composition. Analysis of 1% of the<br />

genome resulted in analysis of >20% of all CpG<br />

sites. DNA methylation analysis was precise with<br />

biological replicates showing high repeatability<br />

(r>0.9). Methylation measurement was accurate as<br />

illustrated by the comparison of RRBS methylation<br />

data and the gold standard Sequenom analysis<br />

within the Carwell region where proportion<br />

methylation measured matched at 132/134 CpG.<br />

Sheep were different from other species; as silico<br />

analysis of the sheep genome highlighted greater<br />

CpG island enrichment by RRBS than expected.<br />

We have generated the first sheep methylome and<br />

optimised RRBS for use in agricultural<br />

animals. This protocol and bioinformatic pipeline<br />

will have widespread use in the future – by<br />

facilitating the identification of superior individuals<br />

to enhance productivity through further selective<br />

breeding.<br />

Calling variants in populations with pedigrees<br />

John Cleary<br />

Real Time Genomics<br />

Biography<br />

Professor John Cleary has 40 years experience<br />

in commercial software engineering and computer<br />

science. Originally a pure mathematician he gained<br />

a PhD in electrical engineering from Canterbury<br />

University. He spent 12 years in Calgary Canada<br />

where he did research on distributed computing<br />

systems and data compression and was cofounder<br />

of a software company that simulated<br />

systems on high performance distributed<br />

computers. For the last 10 years he has been<br />

developing new algorithms and software for high<br />

performance computing for NGS data. This has<br />

included both read mapping to genomes and<br />

variant calling. Currently he is Chief Scientist at<br />

Real Time Genomics and an Adjunct Professor of<br />

Computer Science at Waikato University.<br />

Abstract<br />

The data tsunami coming out of sequencing<br />

machines now enables us to compare NGS data<br />

from thousands of individuals. These populations<br />

can be from species that are important<br />

commercially and medically as well as humans<br />

(that are presumably both). These populations are<br />

often of related individuals. A number of techniques<br />

are available for leveraging this population and<br />

pedigree information to obtain either high quality<br />

variants or good quality ones using very low<br />

coverage NGS data. Of particular note here is the<br />

need to provide good statistical confidence when<br />

attempting to extract differential calls such as de<br />

novo mutations. Bayesian algorithms for such<br />

applications will be described along with results on<br />

humans and other species. These<br />

include: improvements in the quality of variant calls<br />

given population pedigrees and how this varies with<br />

the coverage; detection of de novo<br />

mutations; detection of potentially causative alleles<br />

for traits; and detection of mutation in tumors when<br />

compared with normal cells. In the most extreme<br />

cases I will show it is possible to get a good set of<br />

variant calls for an individual where no sequencing<br />

has been done at all.<br />

Page 23


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Session 8<br />

Bioinformatics Software<br />

NGS project analysis on small-scale computing (aka You did WHAT on a laptop)<br />

Lesley Collins<br />

Massey University<br />

Biography<br />

Lesley Collins has extensive experience in<br />

working with NGS data and was instrumental in<br />

getting the Illumina Genome Analyser at Massey<br />

University up and running. Her hands-on approach<br />

has seen her tackle many NGS-focused<br />

bioinformatics demands and she will share her<br />

experience and knowledge with you in the postconference<br />

workshop. Lesley has been coursecontroller<br />

for highly successful Workshops on NGS<br />

and Bioinformatic workshops run over the last few<br />

years as well as researching and teaching in RNA<br />

evolution. Recently, Lesley edited the book "RNA<br />

Infrastructure and Networks".<br />

Abstract<br />

Benchtop NGS sequencing is now offering<br />

researchers a chance to answer genome-wide<br />

questions on smaller projects (and smaller<br />

budgets). However, these projects often do not<br />

have access to large computer servers or expert<br />

bioinformaticians without spending large parts of<br />

their research budget, so researchers try to do it<br />

themselves. The most common question that<br />

these DIYers ask is: How big does my computer<br />

have to be to get things done To address this<br />

question some publically available data was<br />

downloaded and run through two typical analysis<br />

pipelines on available desktop and laptop<br />

computers. This talk will present results to show<br />

what is at present possible for small-scale NGS<br />

analysis and where common problems lie. Of<br />

course with all bioinformatics, if symptoms persist,<br />

please seek professional advice.<br />

Geneious<br />

Shane Sturrock, Senior Scientist – Geneious Support and Professional Services<br />

Geneious Pro is a bioinformatics workbench developed by Biomatters Ltd. It is widely used for traditional<br />

alignment, phylogenetics and cloning work as well as more recently with NGS analysis. The software is<br />

extended by Geneious Server which provides seamless access to NGS tools on a 64 bit Linux server or<br />

cluster without requiring the user to run Linux themselves. This talk will provide an overview of the<br />

Geneious Pro application and server platform.<br />

Contact information: Biomatters Ltd, 76 Anzac Ave, Auckland. Tel: +64 9 379 5064.<br />

Real Time Genomics<br />

Graham Gaylard, Founder<br />

RTG Investigator bioinformatics application software applies the highest sensitivity in sequence alignment<br />

to deliver the most accurate results in downstream variant and metagenomic analysis. The product's<br />

plug-and-play bioinformatics tools enable researchers to deploy efficient and effective analysis pipelines<br />

in just days. Fast, comprehensive pipelines allow quick comparison of data from multiple sources,<br />

reducing false positives and increasing confidence in your results. http://www.clcbio.com<br />

Contact information: NZ: Real Time Genomics, 2nd Floor, 18 London Street, Hamilton 3493 USA: Real<br />

Time Genomics Inc., 576 Folsom Street, 2nd Floor, San Francisco, CA 94105.<br />

Page 24


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LifeTech<br />

John Davis, Senior Field Bioinformatics Scientist<br />

As the volume of data produced via Ion Torrent semi conductor sequencing continues to increase,<br />

Torrent Suite software provides scientists with a powerful yet intuitive solution for data analysis. This talk<br />

will present the features of the Torrent Suite package, describing the workflows for basic analysis<br />

(reference alignment, variant calling, de novo assembly etc) and explaining how it’s functionality can be<br />

built upon via the Ion Torrent Plugin store. It will also illustrate how the community-driven open source<br />

nature of the software is driving continual improvement, meeting the needs of a wide variety of researcher.<br />

http://www.iontorrent.com/<br />

Contact information: Jacqui Kent Tel: 09 578 3141, 021 775 995<br />

<strong>New</strong> <strong>Zealand</strong> Genomics Limited<br />

Tony Lough, Chief Executive<br />

<strong>New</strong> <strong>Zealand</strong> Genomics Limited – NZGL – is now providing <strong>New</strong> <strong>Zealand</strong> scientists with access to a<br />

genomic infrastructure to promote research throughout the country. Access to equipment and<br />

bioinformatic expertise for both small and large-scale genomics projects is provided via its collaborating<br />

partners at Massey, Otago and Auckland universities.<br />

<strong>Sequencing</strong> services on a HiSeq2000 have been operating since September 2011 at the Otago<br />

<strong>Sequencing</strong> Facility, MiSeq sequencing at Massey became operational in March 2012, and NZGL’s<br />

alliance with Auckland’s Centre for Genomics and Proteomics <strong>Sequencing</strong> now includes provision of<br />

further MiSeq capability, Ion Torrent and 454 GS Junior sequencing and a Microarray service.<br />

NZGL now has a distributed team of Bioinformaticians operating at each of the collaborators and<br />

providing services to clients. The final component of providing a fully integrated service package involves<br />

our delivery of Bio-IT and IT services, anticipated to be available in the last quarter of 2012.<br />

NZGL’s role is to provide genomics technology and bioinformatics services to <strong>New</strong> <strong>Zealand</strong> scientists –<br />

thereby underpinning research in a broad range of areas, including medicine, agriculture and the<br />

environment. NZGL’s Chief Executive will describe NZGL’s provision in its first year of service delivery,<br />

with examples of projects delivered to clients in <strong>New</strong> <strong>Zealand</strong>; and outline the future scope and<br />

possibilities for what the NZGL infrastructure can achieve.<br />

Contact information: Suite 6a, Centre for Innovation, 87 St David Street, Dunedin 9016 : PO Box 56,<br />

<strong>New</strong> <strong>Zealand</strong>. Phone +64 3 470 3543<br />

CLC<br />

Ray Hoare, Hoare Research Software<br />

Why you should use the CLC Bio Genomics Workbench Data analysis represents a serious bottleneck<br />

in NGS pipelines of most R&D departments, which in turn dramatically reduces the Return on Investment<br />

of current NGS assets. CLC Bio Genomics Workbench solves this problem by enabling researchers<br />

themselves to rapidly analyse and visualise genomic, transcriptomic, and epigenomic data from all major<br />

sequencing platforms. The user-friendly and intuitive interface essentially takes High Throughput Analysis<br />

away from hardcore bioinformatics programmers doing command-line scripts, and hands it to scientists<br />

searching for biological results. Furthermore, the versatile nature of CLC Genomics Workbench allows it<br />

to blend seamlessly into existing sequencing analysis workflows, easing implementation and maximising<br />

return on investment. CLC bio is the major player in this field - more than 100,000 users, more than 4,000<br />

licenses sold, to more than 500 organisations – the talk will show you why it has been so successful.<br />

http://www.clcbio.com<br />

Contact information: Hoare Research Software, 10 Grey St, Hamilton East, <strong>New</strong> <strong>Zealand</strong>. Phone +64 7<br />

839 9102<br />

Page 25


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Session 9<br />

Gold Sponsor Presentation<br />

Current and imminent state of the art for Illumina’s sequencing technologies<br />

Brian Fritz<br />

Illumina<br />

Biography<br />

Brian Fritz is a Senior Field Applications Scientist<br />

with Illumina. Brian supports experimental design<br />

consulting, training, troubleshooting and a variety<br />

of other customer-support activities relating to<br />

Illumina’s genotyping and sequencing technologies<br />

and applications. His customer support portfolio<br />

runs from single researchers up to Genome<br />

Centers and encompasses diverse applications<br />

across agricultural, plant, wildlife, infectious<br />

disease and model organisms as well as researchuse<br />

only and translational human studies. Brian’s<br />

training and research background is in genetics,<br />

cell, molecular and developmental biology applied<br />

to model organisms and human research models of<br />

development, molecular evolution and disease. He<br />

holds a PhD from the University of Wisconsin-<br />

Madison and undertook Postdoctoral Research<br />

studies at the Fred Hutchinson Cancer Research<br />

Center in Seattle, WA (USA) before moving to<br />

Illumina in early 2008.<br />

Abstract<br />

Illumina develops, markets and supports innovative<br />

and integrated sequencing technologies,<br />

applications and data analysis solutions for genetic<br />

and genomic analysis. Our tools and services<br />

accelerate genetic analysis research and fuel<br />

advances in consumer genomics, diagnostics,<br />

plant and animal genetics and many additional<br />

applied genetics markets. In this presentation we<br />

will outline the current and imminent state of the art<br />

for Illumina’s sequencing technologies including the<br />

current output specifications for Illumina’s<br />

sequencing instruments. We will then detail<br />

Illumina’s current end-to-end workflows, from<br />

sample preparation through sequencing to<br />

analysis, for diverse DNA, RNA and epigenetic<br />

research applications.<br />

Page 26


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Posters<br />

Posters are listed in alphabetical order by the surname of the presenter.<br />

Posters will be on display in the area to the rear of the conference room between 10am Tuesday 21 st<br />

August and 1pm Wednesday 22 nd August. An author associated with posters marked with an asterisk<br />

will present their research in a five minute presentation during the 3.30pm session on Tuesday 21st<br />

August. Directly after this session, at around 4.30pm finishing 6.30pm, there will be an opportunity to<br />

meet with the authors of all posters to ask them questions about their research.<br />

All posters marked with an asterisk have been entered into the poster competition with the posters being<br />

judged by the <strong>Conference</strong> Programme Committee and our two invited speakers. Cash prizes will be<br />

awarded to the posters judged the best. Prizes will be handed out during Session 9 at 3.20pm on 22 nd<br />

August.<br />

Poster<br />

Number<br />

Poster author/s<br />

Poster Title<br />

1 Christopher Brown Assembly and annotation of RNA-Seq data<br />

2 Gareth Gillard De novo transcriptome assembly of the <strong>New</strong> <strong>Zealand</strong> sea urchin Kina,<br />

to discover transcripts of proteins relating to undesirable colour<br />

change in the kina's roe.<br />

3* Hannah Henry A high-throughput DNA extraction method for sheep ear tissue.<br />

4* Maina Kokila Children with Birth Defects and Disability...An analysis of ethical and<br />

legal issues<br />

5* Thomas Lopdell Investigation of the UMD3 Bovine reference Genome<br />

6* Lucy MacDonald SNP discovery in Pinus radiata<br />

7* Xavier Pochon<br />

& S Wood<br />

Evaluating Detection Limits of <strong>Next</strong> <strong>Generation</strong> <strong>Sequencing</strong> for the<br />

Surveillance and Monitoring of International Marine Pests<br />

8 Jessie Prebble Populations genetics of the smallest forget-me-nots<br />

9* Ingrid Richter Protective biochemical response to biotoxins from sea squirts<br />

10 Kim Rutherford PomBase: a comprehensive database for Schizosaccharomyces<br />

pombe<br />

11* Miriam Sharpe Transcriptome of the <strong>New</strong> <strong>Zealand</strong> Glowworm, Arachnocampa<br />

luminosa<br />

12* Monika Zavodna Parallel tagged next-generation sequencing for population genetics<br />

and phylogeography: a case study using the <strong>New</strong> <strong>Zealand</strong> frog<br />

Leiopelma hochstetteri<br />

Page 27


!<br />

List of Delegates<br />

Kelly Atkinson<br />

Operations & Business Development Manager<br />

The University of Auckland<br />

k.atkinson@auckland.ac.nz<br />

Lesley Collins<br />

Senior Research Fellow<br />

Massey University<br />

lesleycollins.nz@gmail.com<br />

Hayley Baird<br />

Research Associate<br />

AgResearch<br />

hayley.baird@agresearch.co.nz<br />

Chris Couldrey<br />

Senior Scientist<br />

AgResearch<br />

christine.couldrey@agresearch.co.nz<br />

Zsuzanna Barad<br />

Assistant Research Fellow<br />

University of Otago<br />

zsuzsanna.barad@otago.ac.nz<br />

John Davis<br />

Senior Field Bioinformatics Scientist<br />

Life Technologies<br />

john.davis2@lifetech.com<br />

Mik Black<br />

Senior Lecturer<br />

University of Otago<br />

mik.black@otago.ac.nz<br />

Robert Day<br />

Post Doc<br />

University of Otago<br />

robert.day@otago.ac.nz<br />

Rudi Brauning<br />

Computational Biologist<br />

AgResearch Limited<br />

rudiger.brauning@agresearch.co.nz<br />

Alicia Deng<br />

Account Manager/Applications Specialist<br />

Roche Diagnostics NZ Ltd.<br />

alicia.deng@roche.com<br />

Chris Brown<br />

Senior Lecturer<br />

University of Otago<br />

chris.brown@otago.ac.nz<br />

Mark Fiers<br />

Bioinformatician<br />

Plant & Food Research<br />

mark.fiers@plantandfood.co.nz<br />

Sophia Cameron-Christie<br />

PhD Student<br />

University of Otago<br />

sophia.cameron-christie@otago.ac.nz<br />

Angela Fleming<br />

Technical Officer<br />

Victoria University of Wellington<br />

angela.fleming@vuw.ac.nz<br />

Aniruddha Chatterjee<br />

PhD student<br />

University of Otago<br />

chaan980@student.otago.ac.nz<br />

Michelle French<br />

Research Associate<br />

AgResearch<br />

michelle.french@agresearch.co.nz<br />

Eng-Wee Chua<br />

PhD student<br />

University of Otago<br />

engwee.chua@otago.ac.nz<br />

Anja Friedrich<br />

PhD Student<br />

Massey University<br />

a.friedrich@massey.ac.nz<br />

Shannon Clarke<br />

Senior Scientist<br />

AgResearch<br />

shannon.clarke@agresearch.co.nz<br />

Brian Fritz<br />

Snr Field Applications Scientist<br />

Illumina<br />

bfritz@illumina.com<br />

John Cleary<br />

Chief Scientist<br />

Real Time Genomics<br />

john@realtimegenomics.com<br />

Graham Gaylard<br />

Business Development<br />

Real Time Genomics<br />

graham@realtimegenomics.com<br />

Page 28


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Gareth Gillard<br />

MSc Student<br />

University of Otago<br />

gilga472@student.otago.ac.nz<br />

Pam Keir<br />

Account Manager<br />

Roche Diagnostics<br />

pam.keir@roche.com<br />

Travis Glare<br />

Professor<br />

Bio-Protection Research Centre<br />

travis.glare@lincoln.ac.nz<br />

Martin Kennedy<br />

Research Professor<br />

University of Otago, Christchurch<br />

martin.kennedy@otago.ac.nz<br />

Wray Grimaldi<br />

PhD candidate<br />

University of Otago<br />

griwr403@student.otago.ac.nz<br />

Hannah Kennedy<br />

MLT<br />

Canterbury District Health Board<br />

lloffhagen@orbit.co.nz<br />

Jo Hamilton<br />

Virology Technician<br />

Ministry for Primary Industries<br />

Joanna.Hamilton@mpi.govt.nz<br />

Jacqui Kent<br />

Sales Specialist - Systems, <strong>New</strong> <strong>Zealand</strong><br />

Life Technologies<br />

Jacqui.Kent@lifetech.com<br />

Chad Harland<br />

Sequence Analyst<br />

Livestock Improvement Corporation<br />

charland@lic.co.nz<br />

Anar Khan<br />

Science Team Leader<br />

AgResearch Limited<br />

linda.murray@agresearch.co.nz<br />

Michael Hendy<br />

Professor<br />

Otago University<br />

mhendy@maths.otago.ac.nz<br />

Gabe Kolle<br />

Technical Applications Scientist<br />

Illumina<br />

gkolle@illumina.com<br />

Nick Heng<br />

Senior Lecturer<br />

University of Otago<br />

nicholas.heng@otago.ac.nz<br />

Rebecca Laurie<br />

<strong>Sequencing</strong> Manager<br />

Otago University<br />

becky.laurie@otago.ac.nz<br />

Hannah Henry<br />

Research Associate<br />

AgResearch Limited<br />

hannah.henry@agresearch.co.nz<br />

Wellcome Ho<br />

Mycologist, Plant Pathologist<br />

Ministry for Primary Industries<br />

wellcomeho@mpi.govt.nz<br />

Ray Hoare<br />

Managing Director<br />

HRS Ltd<br />

ray@hrs.co.nz<br />

Olga Kardailsky<br />

Research Technician<br />

University of Otago<br />

olga.kardailsky@otago.anatomy.ac.nz<br />

Michael Keehan<br />

Senior Bioinformatician<br />

Livestock Improvement<br />

mkeehan@lic.co.nz<br />

Lia Liefting<br />

Principal Adviser<br />

Ministry of Agriculture and Forestry<br />

lia.liefting@maf.govt.nz<br />

Vincent Lui<br />

Database Manager<br />

Scion<br />

vincent.liu@scionresearch.com<br />

Si Lok<br />

Professor of Practice in Applied Genomics<br />

The Chinese University of Hong Kong<br />

loks@cuhk.edu.hk<br />

Thomas Lopdell<br />

Research Statistician<br />

LIC<br />

tlopdell@lic.co.nz<br />

Tony Lough<br />

Chief Executive<br />

<strong>New</strong> <strong>Zealand</strong> Genomics Limited<br />

tony.lough@nzgenomics.co.nz<br />

Page 29


!<br />

Ashley Lu<br />

Bioinformatician<br />

Plant & Food Research<br />

ashley.lu@plantandfood.co.nz<br />

Barry Palmer<br />

Senior Lecturer<br />

Massey University, Wellington<br />

b.palmer@massey.ac.nz<br />

Lucy Macdonald<br />

Bioinformatician<br />

Scion<br />

lucy.macdonald@scionresearch.com<br />

Duckchul Park<br />

Senior Technician<br />

Landcare Research<br />

parkd@landcareresearch.co.nz<br />

Simoene Macmil<br />

Postdoc Fellow<br />

University of Otago, Christchurch<br />

smacmil@gmail.com<br />

Sin Phua<br />

Scientist<br />

AgResearch Limited<br />

sin.phua@agresearch.co.nz<br />

Nauman Maqbool<br />

Science Team Leader<br />

AgResearch Limited<br />

nauman.maqbool@agresearch.co.nz<br />

Xavier Pochon<br />

Senior Scientist<br />

The Cawthron Institute<br />

xavier.pochon@cawthron.org.nz<br />

Chris Mason<br />

Programmer<br />

University of Otago<br />

chris.mason@anatomy.otago.ac.nz<br />

Jessie Prebble<br />

PhD student<br />

Massey University, Palmerston North<br />

jessie.prebble@gmail.com<br />

Bennet McComish<br />

Doctoral candidate<br />

Massey University<br />

b.mccomish@massey.ac.nz<br />

Marian Price-Carter<br />

Scientist<br />

AgResearch<br />

Marian.Price-Carter@agresearch.co.nz<br />

Alan McCulloch<br />

Bioinformatics Software Engineer<br />

AgResearch<br />

alan.mcculloch@agresearch.co.nz<br />

David Pulford<br />

Virology Senior Scientist<br />

Ministry for Primary Industries<br />

David.Pulford@mpi.govt.nz<br />

Les McNoe<br />

Research Fellow<br />

University of Otago<br />

robyn.thomson@otago.ac.nz<br />

Josh Ramsay<br />

Postdoc<br />

University of Otago<br />

joshramsay@gmail.com<br />

Mary Morgan-Richards<br />

Academic<br />

Massey University<br />

m.morgan-richards@massey.ac.nz<br />

Kristina Ramstad<br />

Postdoctoral Fellow<br />

Victoria University<br />

kristina.ramstad@vuw.ac.nz<br />

Eilidh Mowat<br />

Senior Technologist Plant Pathology<br />

Hill Laboratories<br />

rachelle.allan@hill-labs.co.nz<br />

Christy Rand<br />

Research Technician<br />

University of Otago<br />

christy.rand@anatomy.otago.ac.nz<br />

Grant Munro<br />

Virology Manager<br />

Ministry for Primary Industries<br />

grant.munro@mpi.govt.nz<br />

Ingrid Richter<br />

PhD student<br />

Cawthron Institute<br />

Ingrid.Richter@cawthron.org.nz<br />

Losia Nakagawa-Lagisz<br />

Research Assistant<br />

University of Otago<br />

losialagisz@yahoo.com<br />

Euan Rodger<br />

Post-doctoral fellow<br />

University of Otago<br />

Euan.rodger@otago.ac.nz<br />

Page 30


!<br />

Kim Rutherford<br />

Computer Programmer<br />

University of Cambridge<br />

kmr44@cam.ac.uk<br />

Paul Sutherland<br />

Agriculture Division Manager<br />

Hill Laboratories<br />

rachelle.allan@hill-labs.co.nz<br />

Andrew Scott<br />

Project Manager<br />

LIC<br />

andrew.scott@lic.co.nz<br />

Yoo Techataweewan<br />

PhD Student<br />

University of Otago<br />

nawaporn.techataweewan@anatomy.otago.ac.nz<br />

Jenny Shackelford<br />

Business Manager<br />

<strong>New</strong> <strong>Zealand</strong> Genomics Limited<br />

jenny.shackelford@nzgenomics.co.nz<br />

Tracey van Stijn<br />

Research Associate<br />

AgResearch<br />

tracey.vanstijn@agresearch.co.nz<br />

Miriam Sharpe<br />

Postdoctoral Research Fellow<br />

University of Otago<br />

miriam.sharpe@otago.ac.nz<br />

Kylie Warner<br />

Product Manager - Agilent Genomics<br />

Pacific Laboratory Products<br />

kyliew@pacificlab.com.au<br />

Karl Sluis<br />

Territory Account Manager, <strong>New</strong> <strong>Zealand</strong><br />

Illumina<br />

ksluis@illumina.com<br />

Liam Williams<br />

Genomics Facility Manager<br />

The University of Auckland<br />

lc.williams@auckland.ac.nz<br />

Richard Spence<br />

Senior Scientist<br />

Ministry for Primary Industries<br />

richard.spence@mpi.govt.nz<br />

David Wharton<br />

Associate Professor<br />

University of Otago<br />

david.wharton@otago.ac.nz<br />

Jo Stanton<br />

Senior Research Fellow<br />

University of Otago<br />

jo.stanton@anatomy.otago.ac.nz<br />

Daniel White<br />

Bioinformatician<br />

Landcare Research<br />

whited@landcareresearch.co.nz<br />

Peter Stockwell<br />

Senior Lecturer<br />

University of Otago<br />

peter.stockwell@otago.ac.nz<br />

Susie Wood<br />

Senior Scientist<br />

The Cawthron Institute<br />

susie.wood@cawthron.org.nz<br />

Roy Storey<br />

Bioinformatician<br />

Plant & Food Research<br />

roy.storey@plantandfood.co.nz<br />

Steve Wylie<br />

Senior Research Associate<br />

Murdoch University<br />

s.wylie@murdoch.edu.au<br />

Shane Sturrock<br />

Senior Scientist<br />

Biomatters Ltd<br />

shane@biomatters.com<br />

Monika Zavodna<br />

Post-doctoral fellow<br />

University of Otago<br />

monika.zavodna@otago.ac.nz<br />

Thank you for joining us for the 2012 <strong>New</strong> <strong>Zealand</strong> <strong>Next</strong> <strong>Generation</strong> <strong>Sequencing</strong> <strong>Conference</strong>.<br />

We will contact you by email when details of the 2013 <strong>New</strong> <strong>Zealand</strong> <strong>Next</strong> <strong>Generation</strong> <strong>Sequencing</strong><br />

<strong>Conference</strong> are available.<br />

We look forward to hosting you again next year.<br />

Page 31

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