A software pipeline for the discovery of variations in exome sequencing projects

نویسنده

  • E. Mattei
چکیده

Motivations The recent advances in the technologies and strategies for DNA sequencing have dramatically facilitated the identification of novel human genes associated with rare and common diseases [1]. However novel methods are needed to identify high-quality variations among all the ones identified in a single experiment. The most successful approach to identify disease-causing mutations consists in using exome arrays [2] that allow the sequencing of only the coding regions in a genome. We developed a novel pipeline to identify high quality variations in the data produced by an exome sequencing experiment using the new 454 Roche sequencer [3].

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تاریخ انتشار 2012