LONGO specifications

Information


Unique identifier OMICS_30916
Name LONGO
Software type Application/Script
Interface Command line interface, Graphical user interface
Restrictions to use Academic or non-commercial use
Input data Some gene expression data from transcriptome experiments.
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Version 0.3.3
Stability Stable
Maintained Yes

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Maintainers


  • person_outline Tae-Hyuk Ahn <>
  • person_outline Andrew Yoo <>

Publication for LONGO

LONGO institution(s)
Department of Developmental Biology, Washington University School of Medicine, Saint Louis, MO, USA; Program in Bioinformatics & Computational Biology, Saint Louis University, Saint Louis, MO, USA; Department of Molecular Biosciences, Northwestern University, Evanston, IL, USA; Department of Neuroscience, Washington University School of Medicine, Saint Louis, MO, USA; Department of Mathematics & Statistics, Saint Louis University, Saint Louis, MO, USA; Department of Computer Science, Saint Louis University, Saint Louis, MO, USA
LONGO funding source(s)
Supported by the NIH-funded Ruth L. Kirschstein National Research Service Award (NRSA) Institutional Predoctoral Fellowship (T32GM081739; Barch, PI); by NIH Director’s Innovator Award (DP2NS083372), NIH RF1AG056296, Missouri Spinal Cord Injury/ Disease Research Program (SCIDRP), Cure Alzheimer’s Fund and Presidential Early Career Award for Scientists and Engineers; by NSF-1566292, NSF-1564894 and Saint Louis University President’s Research Fund 2018.

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