Literature DB >> 19386039

Discovering genetic polymorphisms in next-generation sequencing data.

Michael Imelfort1, Chris Duran, Jacqueline Batley, David Edwards.   

Abstract

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.

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Year:  2009        PMID: 19386039     DOI: 10.1111/j.1467-7652.2009.00406.x

Source DB:  PubMed          Journal:  Plant Biotechnol J        ISSN: 1467-7644            Impact factor:   9.803


  23 in total

1.  SNPs discovery and CAPS marker conversion in soybean.

Authors:  Yongjun Shu; Yong Li; Zhenlei Zhu; Xi Bai; Hua Cai; Wei Ji; Dianjing Guo; Yanming Zhu
Journal:  Mol Biol Rep       Date:  2010-09-22       Impact factor: 2.316

Review 2.  Applications of next generation sequencing in molecular ecology of non-model organisms.

Authors:  R Ekblom; J Galindo
Journal:  Heredity (Edinb)       Date:  2010-12-08       Impact factor: 3.821

Review 3.  Accessing complex crop genomes with next-generation sequencing.

Authors:  David Edwards; Jacqueline Batley; Rod J Snowdon
Journal:  Theor Appl Genet       Date:  2012-09-05       Impact factor: 5.699

Review 4.  Application of large-scale sequencing to marker discovery in plants.

Authors:  Robert J Henry; Mark Edwards; Daniel L E Waters; S Gopala Krishnan; Peter Bundock; Timothy R Sexton; Ardashir K Masouleh; Catherine J Nock; Julie Pattemore
Journal:  J Biosci       Date:  2012-11       Impact factor: 1.826

5.  A high-throughput SNP array in the amphidiploid species Brassica napus shows diversity in resistance genes.

Authors:  Jessica Dalton-Morgan; Alice Hayward; Salman Alamery; Reece Tollenaere; Annaliese S Mason; Emma Campbell; Dhwani Patel; Michał T Lorenc; Bin Yi; Yan Long; Jinling Meng; Rosy Raman; Harsh Raman; Cindy Lawley; David Edwards; Jacqueline Batley
Journal:  Funct Integr Genomics       Date:  2014-08-22       Impact factor: 3.410

6.  GinMicrosatDb: a genome-wide microsatellite markers database for sesame (Sesamum indicum L.).

Authors:  Supriya Purru; Sarika Sahu; Saurabh Rai; A R Rao; K V Bhat
Journal:  Physiol Mol Biol Plants       Date:  2018-07-14

7.  Identifying genetic diversity of avirulence genes in Leptosphaeria maculans using whole genome sequencing.

Authors:  Manuel Zander; Dhwani A Patel; Angela Van de Wouw; Kaitao Lai; Michal T Lorenc; Emma Campbell; Alice Hayward; David Edwards; Harsh Raman; Jacqueline Batley
Journal:  Funct Integr Genomics       Date:  2013-06-21       Impact factor: 3.410

8.  Population genomics of parallel adaptation in threespine stickleback using sequenced RAD tags.

Authors:  Paul A Hohenlohe; Susan Bassham; Paul D Etter; Nicholas Stiffler; Eric A Johnson; William A Cresko
Journal:  PLoS Genet       Date:  2010-02-26       Impact factor: 5.917

9.  Genomics of fungal disease resistance in tomato.

Authors:  Dilip R Panthee; Feng Chen
Journal:  Curr Genomics       Date:  2010-03       Impact factor: 2.236

10.  A single molecule scaffold for the maize genome.

Authors:  Shiguo Zhou; Fusheng Wei; John Nguyen; Mike Bechner; Konstantinos Potamousis; Steve Goldstein; Louise Pape; Michael R Mehan; Chris Churas; Shiran Pasternak; Dan K Forrest; Roger Wise; Doreen Ware; Rod A Wing; Michael S Waterman; Miron Livny; David C Schwartz
Journal:  PLoS Genet       Date:  2009-11-20       Impact factor: 5.917

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