rSeq specifications

Information


Unique identifier OMICS_01288
Name rSeq
Software type Application/Script
Interface Command line interface
Restrictions to use Academic or non-commercial use
Operating system Unix/Linux, Mac OS, Windows
Computer skills Advanced
Version 0.2.2
Stability Stable
Source code URL http://www-personal.umich.edu/~jianghui/rseq/download/rseq-0.2.2-src.zip
Maintained Yes

Versioning


Add your version

Maintainers


  • person_outline Wing Hung Wong <>
  • person_outline Julia Salzman <>

Publication for rSeq

rSeq institution(s)
Department of Statistics and Biochemistry, Stanford University, Stanford, CA, USA; Department of Statistics and Stanford Genome Technology Center, Stanford University, Stanford, CA, USA; Statistics and Health Research and Policy, Stanford University, Stanford, CA, USA
rSeq funding source(s)
Supported by a grant from the National Science Foundation (DMS-0805157), a grant from the National Institute of Health (2P01-HG000205) and a National Institute of Health grant (R01-HG004634).

rSeq reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review rSeq