scHMM 1.1.0 – Sparsely correlated hidden Markov model for ChIP-seq data Analysis

scHMM 1.1.0

:: DESCRIPTION

scHMM (correlated hidden Markov models) is a package for analyzing sequence read count data in multiple ChIPseq experiments using sparsely correlated hidden Markov models (HMM).

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::DEVELOPER

scHMM team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/MacOsX/ WIndows
  • C Compiler

:: DOWNLOAD

 scHMM

:: MORE INFORMATION

Citation:

Bioinformatics. 2013 Mar 1;29(5):533-41. doi: 10.1093/bioinformatics/btt012. Epub 2013 Jan 16.
Sparsely correlated hidden Markov models with application to genome-wide location studies.
Choi H1, Fermin D, Nesvizhskii AI, Ghosh D, Qin ZS.