BACOM specifications

Information


Unique identifier OMICS_25482
Name BACOM
Alternative name Bayesian Analysis of COpy number Mixtures
Software type Application/Script
Interface Graphical user interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages Java, R
License BSD 3-clause “New” or “Revised” License
Computer skills Medium
Stability Stable
Maintained Yes

Versioning


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Documentation


Maintainer


  • person_outline Yue Wang <>

Publication for Bayesian Analysis of COpy number Mixtures

BACOM institution(s)
Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA, USA; Department of Urology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Health Sciences Informatics, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Center for Cancer Genomics, Wake Forest University School of Medicine, Winston-Salem, NC, USA; Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
BACOM funding source(s)
Supported by US National Institutes of Health under Grants (EB000830, CA109872, CA129080 and CA103937) in part.

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