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New Zealand Next Generation Sequencing Conference - Innovative ...

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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 />

Page 17

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