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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


bitbucket.png

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


download.png

Versioning


No version available

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 citation

library_books

Using regulatory genomics data to interpret the function of disease variants and prioritise genes from expression studies

2018
F1000Res
PMCID: 5850119
PMID: 29568492
DOI: 10.5256/f1000research.14748.r30355

[…] ene(s) using several different types of regulatory genomic data . The database is currently undergoing a major overhaul and will eventually be superseded by POSTGAP. A valid and recent alternative is INFERNO , though it does only rely on eQTL data for target gene assignment. These resources implement some or all of the approaches that will be reviewed in the workflow and constitute good entry poin […]


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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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