IKAP specifications

Information


Unique identifier OMICS_10791
Name IKAP
Alternative name Inference of Kinase Activities from Phosphoproteomics
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages MATLAB
Computer skills Advanced
Stability Stable
Maintained Yes

Versioning


No version available

Documentation


Maintainer


  • person_outline Marcel Mischnik

Publication for Inference of Kinase Activities from Phosphoproteomics

IKAP citation

library_books

Benchmarking substrate based kinase activity inference using phosphoproteomic data

2017
Bioinformatics
PMCID: 5870625
PMID: 28200105
DOI: 10.1093/bioinformatics/btx082

[…] study (). Alternatively, ) proposed an algorithm based on a one sample Z-test to measure for the first time the regulation of large number of kinases in label-free cancer samples. More recently, the IKAP machine learning method models the abundance of each phosphosite as the sum of all kinase effects acting on it ().These methods depend on the aggregation of kinase substrate annotations. Comprehe […]

IKAP institution(s)
Sanofi-Aventis Deutschland GmbH, Frankfurt, Germany; Department of Proteomics and Signal Transduction, Max-Planck-Institute for Biochemistry, Martinsried, Germany

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