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Challenges and strategies for Next Generation Sequencing (NGS) Data Analysis

Thakur, Vivek and Varshney, R.K.ORCID: 0000-0002-4562-9131 (2010) Challenges and strategies for Next Generation Sequencing (NGS) Data Analysis. Journal of Computer Science & Systems Biology, 3 (2). pp. 40-42.

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Next Generation Sequencing (NGS) technologies enable the resequencing of entire - genomes or the sampling
of entire transcriptomes more effi ciently and economically and with greater depth than ever before. Rather than
sequencing individual genomes, now it is possible to sequence hundreds or even thousands of related genomes to
sample genetic diversity within and between germplasm pools. Identifying and tracking genetic variation is now so
effi cient and precise that thousands of variants can be tracked within large populations. While NGS technologies
have signifi cant implications on crop breeding, optimization and availability of appropriate methodologies and tools to
analyze, visualize and intrepret NGS data are still in their infancy. With an objective to help crop genetics and breeding
community to utilize NGS data for crop improvement, Generation Challenge Programme, Mexico and ICRISAT, India
organized an international workshop entitled “Next Generation Sequencing (NGS) Data Analysis” during Jul 21-23,
2009. More than 30 scientists from nine countries (USA, UK, France, Korea, Japan, Australia, Mexico, Philippines and
India) participated in the workshop. The workshop had four technical sessions and two brainstorming sessions in which
participants shared their experience/views on data generation and analysis by using NGS technologies for accelerating
plant genome research to understand genome dynamics as well as to facilitate crop breeding. This article presents a
report on this international workshop. All presentations made in this workshop have been made available online (http://

Item Type: Journal Article
Publisher: Hilaris Publisher
Copyright: © 2010 Thakur V, et al.
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