iOmicsPASS specifications

Information


Unique identifier OMICS_30951
Name iOmicsPASS
Alternative name integrative Omics tool for Predictive Analysis with Subnetwork Signatures
Software type Application/Script
Interface Command line interface
Restrictions to use None
Input data Some quantitative transcriptomics and proteomics data and biological networks linking the molecules.
Operating system Unix/Linux
Programming languages C++
Computer skills Advanced
Version 1.0
Stability Stable
Maintained Yes

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Maintainer


  • person_outline Hyungwon Choi <>

Additional information


https://github.com/cssblab/iOmicsPASS/blob/master/iOmicsPASSmanual.pdf

Publication for integrative Omics tool for Predictive Analysis with Subnetwork Signatures

iOmicsPASS institution(s)
Saw Swee Hock School of Public Health, National University of Singapore, Singapore; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; University of Michigan Medical School, Ann Arbor, MI, USA; Department of Statistics and Applied Probability, National University of Singapore, Singapore; School of Biological Sciences, University of Southampton, Southampton, UK; Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore
iOmicsPASS funding source(s)
Supported by Institute of Molecular & Cell Biology, ASTAR, a grant from Singapore Ministry of Education (MOE2016-T2-1-001) and National Medical Research Council of Singapore (NMRC-CG-M009).

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