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• W1993549062 abstract "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." @default.
• W1993549062 created "2016-06-24" @default.
• W1993549062 creator A5014642082 @default.
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• W1993549062 date "2009-10-01" @default.
• W1993549062 modified "2023-09-27" @default.
• W1993549062 title "Characterizing natural variation using next-generation sequencing technologies" @default.
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• W1993549062 doi "https://doi.org/10.1016/j.tig.2009.09.003" @default.
• W1993549062 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3994700" @default.
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