次世代シーケンサが求める機械学習

Mcpherson JD. 2009. Next-generation gap.Nature Methods 6: S2–S5.

DNAmRNA

DNA mRNA100

RNA (SNPs, GWAS) RNA

Re- ChIP-seq/ Genome Meta- mRNA sequencing/ RNA-seq MeDIP/ methylation Assembly Genomics assembly CLIP-seq parameter ﬁttingunsupervised learning (clustering) semi- supervised learning supervised learning committee( )

DePristo MA, Banks E, Poplin R, Garimella KV, Maguire JR, Hartl C, Philippakis AA, del Angel G, Rivas MA, Hanna M, et al. 2011. A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nat Genet 43: 491–498.

Feng X, Grossman R, and Stein L. 2011. PeakRanger: A cloud-enabled peak caller for ChIP-seq data. BMC Bioinformatics 12: 139.

Wooley JC, Godzik A, and Friedberg I. 2010. A primer on metagenomics. PLoS Computational Biology 6: e1000667.

RNA (SNPs, GWAS) RNA

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次世代シーケンサが求める機械学習

by sesejun on Nov 10, 2011

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次世代シーケンサが求める機械学習 — Presentation Transcript