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

OAR@ICRISAT

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Relation http://oar.icrisat.org/154/
http://dx.doi.org/10.4172/jcsb.1000053
 
Title Challenges and Strategies for Next Generation Sequencing (NGS) Data Analysis
 
Creator Thakur, V
Varshney, R K
 
Subject Genetics and Genomics
 
Description Next Generation Sequencing (NGS) technologies enable the resequencing of entire - genomes or the sampling of entire transcriptomes more efficiently 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 efficient 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://www.icrisat.org/bt-publicdomain-ngs.htm).
 
Date 2010
 
Type Article
PeerReviewed
 
Format application/pdf
 
Language en
 
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Identifier http://oar.icrisat.org/154/1/new7.pdf
Thakur, V and Varshney, R K (2010) Challenges and Strategies for Next Generation Sequencing (NGS) Data Analysis. Journal of Computer Science & Systems Biology, 3. pp. 40-42.