MONSTER specifications

Information


Unique identifier OMICS_25252
Name MONSTER
Alternative name MOdeling Network State Transitions from Expression and Regulatory data
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Computer skills Advanced
Version 0.99.32
Stability Stable
Maintained Yes

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Versioning


No version available

Maintainers


  • person_outline John Quackenbush
  • person_outline Daniel Schlauch

Publication for MOdeling Network State Transitions from Expression and Regulatory data

MONSTER institution(s)
Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA; Pulmonary and Critical Care Division, Brigham and Women’s Hospital, Boston, MA, USA
MONSTER funding source(s)
Supported by Award Number P01 HL105339, R01 HL111759, R01 HL089897, R01 HL089856 and K25HL133599 from the National Heart, Lung, and Blood Institute.

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