FACTERA specifications

Information


Unique identifier OMICS_05484
Name FACTERA
Alternative name Fusion And Chromosomal Translocation Enumeration and Recovery Algorithm
Software type Package/Module
Interface Command line interface
Restrictions to use None
Input format BAM
Operating system Unix/Linux
Computer skills Advanced
Stability Stable
Maintained Yes

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Maintainers


  • person_outline Ash Alizadeh <>
  • person_outline Maximilian Diehn <>

Publication for Fusion And Chromosomal Translocation Enumeration and Recovery Algorithm

FACTERA institution(s)
Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA, USA; Division of Oncology, Department of Medicine, Stanford University, Stanford, CA, USA; Department of Radiation Oncology, Stanford University, Stanford, CA, USA; Stanford Cancer Institute, Stanford University, Stanford, CA, USA
FACTERA funding source(s)
Supported by the Stanford Cancer Institute Genomics Initiative; the Doris Duke Charitable Foundation; the US Department of Defense (LCRP Promising Clinician Research Award; W81XWH-12-1-0498); the US National Institutes of Health Director’s New Innovator Award Program (1-DP2-CA186569); the Damon Runyon Cancer Research Foundation; the Lymphoma Research Foundation; the Gabrielle’s Angel Foundation; the Radiological Society of North America (RR1221); and the Thomas & Stacey Siebel Foundation.

FACTERA reviews

 (2)
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Anonymous user #1051's avatar image No country

Anonymous user #1051

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Desktop
very fast, intuitive, and precise tool. optimized for targeted capture data, but performance on RNA-Seq data reasonably good in my hands, though but not tested against other tools. addition of a paired mode (tumor/normal) option would be a nice feature.
Anonymous user #1050's avatar image No country

Anonymous user #1050

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Desktop
Much much better that existing tools, especially for targeted capture data from cancer. Needs for improved a little for BWA-MEM, but still great.