RJaCGH specifications


Unique identifier OMICS_00731
Alternative name Reversible Jump MCMC for the analysis of CGH arrays
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 2.0
Computer skills Advanced
Version 2.0.4
Stability Stable
Maintained Yes


Add your version



  • person_outline Oscar Rueda <>

RJaCGH article

RJaCGH citation

PMCID: 3257270

[…] to manage the huge number of array-cgh measurements. besides fhmm, also three other methods based on first-order hmms were considered for the comparison including wuhmm [56] and two bayesian methods rjacgh [55] and ghmm [52]. all methods were applied to the arabidopsis array-cgh data set using standard settings., the identification of deletions or sequence deviations by these methods is compared […]

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

RJaCGH reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review RJaCGH