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Reversible Jump MCMC for the analysis of CGH arrays RJaCGH

Online

Fits a non-homogeneous hidden Markov model to the aCGH data using Markov chain Monte Carlo with Reversible Jump, and returns the probability that each probe is gained or lost. Using these probabilites, recurrent regions (over sets of individuals) of copy number alteration can be found.

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RJaCGH classification

RJaCGH specifications

Software type:
Package/Module
Restrictions to use:
None
Programming languages:
R
Computer skills:
Advanced
Stability:
Stable
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
GNU General Public License version 2.0
Version:
2.0.4
Maintained:
Yes

RJaCGH distribution

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No versioning.

RJaCGH support

Documentation

Maintainer

  • Oscar Rueda <>

Credits

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Publications

Institution(s)

Structural Biology and Biocomputing Programme, Spanish National Cancer Center (CNIO), Melchor Fernández Almagro, Madrid, Spain

Funding source(s)

Fundacion de Investigacion Medica Mutua Madrileña; RTIC COMBIOMED (RD07/0067/0014) Spanish Health Ministry; Supercomputacion y Ciencia (CSD2007-00050) Spanish Ministry of Education and Science; Spanish National Bioinformatics Institute a platform of Genoma España

Link to literature

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