GS2 specifications

Information


Unique identifier OMICS_10337
Name GS2
Alternative name GO-based similarity of gene sets
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Python
Computer skills Advanced
Stability Stable
Maintained Yes

Versioning


No version available

Maintainer


  • person_outline Troy Ruths

Information


Unique identifier OMICS_10337
Name GS2
Alternative name GO-based similarity of gene sets
Interface Web user interface
Restrictions to use None
Programming languages Python
Computer skills Basic
Stability Stable
Maintained Yes

Maintainer


  • person_outline Troy Ruths

Publication for GO-based similarity of gene sets

GS2 citation

library_books

Functional coherence metrics in protein families

2016
J Biomed Semantics
PMCID: 4917928
PMID: 27338101
DOI: 10.1186/s13326-016-0076-y

[…] een developed. These metrics for the assessment of functional coherence using annotations are commonly based on the previously developed groupwise semantic similarity approaches.One of those metrics, GS2 [], uses a set-based approach and was developed with computational efficiency in mind to measure gene set functional similarity based on GO terms. The GS2 algorithm ranks annotation terms using a […]

GS2 institution(s)
Department of Computer Science, Rice University, Houston, TX, USA
GS2 funding source(s)
Department of Energy (DE-FG02-06ER25734); National Science Foundation (CCF-0622037, CCF-0829276); National Library of Medicine (R01LM009494); Rice Computational Research Cluster funded by National Science Foundation (CNS-0421109); partnership between Rice University, Advanced Micro Devices and Cray

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