# Interesting packages of new BioC2.7

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NuPoP

Nucleosome positioning prediction

Mulcom

Differential expression and false discovery rate calculation through multiple comparison

ontoCAT

Ontology parsing

BHC

Bayesian Hierarchical Clustering

iSeq

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`

).
To

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