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Characterizing natural variation using next-generation sequencing technologies

butterfly09 添加于 2010-8-23 00:28 | 1445 次阅读 | 0 个评论

作者
Gilad Y, Pritchard JK, Thornton K
摘要
Progress in evolutionary genomics is tightly coupled with the development of new technologies to collect high-throughput data. The availability of next-generation sequencing technologies has the potential to revolutionize genomic research and enable us to focus on a large number of outstanding questions that previously could not be addressed effectively. Indeed, we are now able to study genetic variation on a genome-wide scale, characterize gene regulatory processes at unprecedented resolution, and soon, we expect that individual laboratories might be able to rapidly sequence new genomes. However, at present, the analysis of next-generation sequencing data is challenging, in particular because most sequencing platforms provide short reads, which are difficult to align and assemble. In addition, only little is known about sources of variation that are associated with next-generation sequencing study designs. A better understanding of the sources of error and bias in sequencing data is essential, especially in the context of studies of variation at dynamic quantitative traits.
详细资料
- 关键词: Animals; Base Sequence; Evolution, Molecular; Gene Expression Profiling/methods; *Genetic Variation; Genome-Wide Association Study/*methods; Genomics/*methods; Humans; Sequence Analysis, RNA/*methods
- 文献种类:期刊
- 期刊名称: Trends in Genetics : TIG
- 期刊缩写: Trends Genet
- 期卷页: 2009年第25卷第10期 463-471页
- 地址: Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA. gilad@uchicago.edu
- ISBN: 0168-9525
标签

variation sequencing
相关链接 DOI URL