INFERNO specifications

Information


Unique identifier OMICS_23514
Name INFERNO
Alternative name INFERring the molecular mechanisms of NOncoding genetic variants
Software type Pipeline/Workflow
Interface Web user interface
Restrictions to use None
Input format TSV
License MIT License
Computer skills Basic
Stability Stable
Maintained Yes

Download


Maintainers


  • person_outline Li-San Wang <>
  • person_outline Alexandre Amlie-Wolf <>

Additional information


https://bitbucket.org/alexamlie/inferno http://inferno.lisanwanglab.org/README.php

Information


Unique identifier OMICS_23514
Name INFERNO
Alternative name INFERring the molecular mechanisms of NOncoding genetic variants
Software type Pipeline/Workflow
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Python, R, Shell (Bash)
License MIT License
Computer skills Advanced
Stability Stable
Maintained Yes

Download


Versioning


Add your version

Maintainers


  • person_outline Li-San Wang <>
  • person_outline Alexandre Amlie-Wolf <>

Additional information


https://bitbucket.org/alexamlie/inferno http://inferno.lisanwanglab.org/README.php

Publication for INFERring the molecular mechanisms of NOncoding genetic variants

INFERNO institution(s)
Genomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; VA Puget Sound Health Care System, Seattle, WA, USA; Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA; Department of Genetics. Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
INFERNO funding source(s)
Supported by National Institutes of Health, National Institute on Aging [U01-AG032984, UF1-AG047133, U54-AG052427, U24-AG041689, R01-GM099962, P30-AG010124, RF1-AG055477, U54-NS100693 and T32-AG00255.

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