New Zealand Next Generation Sequencing Conference - Innovative ...
New Zealand Next Generation Sequencing Conference - Innovative ...
New Zealand Next Generation Sequencing Conference - Innovative ...
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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 />
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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 />
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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
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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
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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 />
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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 />
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