Interesting packages of new BioC2.7

November 1, 2010

(This article was first published on One Tip Per Day, and kindly contributed to R-bloggers)


Nucleosome positioning prediction


Differential expression and false discovery rate calculation through multiple comparison


Ontology parsing


Bayesian Hierarchical Clustering


Bayesian Hierarchical Modeling of ChIP-seq Data Through Hidden Ising Models


btw, other interesting ones in BioC 2.6:

New sequence analysis tools address infrastructure (GenomicRanges, Rsamtools, girafe); ChIP-seq (BayesPeak, CSAR, PICS); digital gene expression and RNA-seq (DESeq, goseq, segmentSeq); and motif discovery (MotIV, rGADEM).

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