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Workshop

Statistical and Computational Challenges in Next-Generation Sequencing October 10, 2008

Organizers Sandrine Dudoit, Terry Speed, Margaret Taub

Speaker(s) No Speakers Assigned Yet.

Description For the past decade, microarrays have been the assays of choice for high-throughput studies of gene expression. Recent improvements in the efficiency, quality, and cost of genome-wide sequencing are prompting biologists to rapidly abandon microarrays in favor of so-called next-generation sequencers, e.g., Applied Biosystems' SOLiD, Helicos BioSciences' HeliScope, Illumina's Solexa, and Roche's 454 Life Sciences sequencing systems. These high-throughput sequencing technologies have already been applied for studying genome-wide transcription levels (mRNA-Seq), transcription factor binding sites (ChIP-Seq), chromatin structure, and DNA methylation status. While sequencing-based gene expression studies have been touted as overcoming longstanding limitations of microarray-based studies, these new biotechnologies raise similar as well as novel statistical and computational challenges. This workshop's website is at: http://www.stat.berkeley.edu/~seqmtg/