Discovering genetic polymorphisms in next‐generation sequencing data

Michael Imelfort, Chris Duran, Jacqueline Batley, David Edwards

doi:10.1111/j.1467-7652.2009.00406.x

Discovering genetic polymorphisms in next‐generation sequencing data

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書誌事項

公開日: 2009-04-13

権利情報

http://onlinelibrary.wiley.com/termsAndConditions#vor

DOI

10.1111/j.1467-7652.2009.00406.x

公開者: Wiley

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説明

<jats:title>Summary</jats:title><jats:p>The ongoing revolution in DNA sequencing technology now enables the reading of thousands of millions of nucleotide bases in a single instrument run. However, this data quantity is often compromised by poor confidence in the read quality. The identification of genetic polymorphisms from this data is therefore problematic and, combined with the vast quantity of data, poses a major bioinformatics challenge. However, once these difficulties have been addressed, next‐generation sequencing will offer a means to identify and characterize the wealth of genetic polymorphisms underlying the vast phenotypic variation in biological systems. We describe the recent advances in next‐generation sequencing technology, together with preliminary approaches that can be applied for single nucleotide polymorphism discovery in plant species.</jats:p>