MAGE-STK specifications

Information


Unique identifier OMICS_27709
Name MAGE-STK
Software type Toolkit/Suite
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages C#, Java, Perl, Python
Computer skills Advanced
Stability Stable
Maintained Yes

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Maintainer


  • person_outline Paul Spellman <>

Publication for MAGE-STK

MAGE-STK institution(s)
Department of Cell and Molecular Biology, University of California at Berkeley, Berkeley, CA, USA; Rosetta Biosoftware, Kirkland, WA, USA; Open Informatics, Albuquerque, NM, USA; Bioscience Research - Agilent Technologies, Palo Alto, CA, USA; European Bioinformatics Institute, EMBL Hinxton Outstation, Cambridge, UK; Affymetrix, Inc., Emeryville, CA, USA; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA; Molecular Mining Corporation, Kingston, ON, Canada; Imaging Research Inc., St. Catharines, ON, Canada; Iobion Informatics LLC, La Jolla, CA, USA; LION bioscience Inc., San Diego, CA, USA; Center for Bioinformatics, University of Pennsylvania, Philadelphia, PA, USA; The Institute for Genomic Research, Rockville, MD, USA; Computational Biology, Institute for Systems Biology, Seattle, WA, USA; CHRF, University of Cincinnati College of Medicine, Cincinnati, OH, USA
MAGE-STK funding source(s)
Supported by grant DE-FG02-00ER62893 from the DOE and an NSF biocomputing post-doctoral fellowship.

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