GenGO pipeline

GenGO specifications


Unique identifier OMICS_15421
Name GenGO
Alternative name GENerative GO analysis
Interface Web user interface
Restrictions to use None
Input data A gene list, a species, an input type (NCBI Entrez ID (LocusLink) or Symbol) and an algorithm.
Computer skills Basic
Stability Stable
Maintained Yes


  • person_outline Ziv Bar-Joseph <>

Publication for GENerative GO analysis

GenGO IN pipeline

PMCID: 3329418
PMID: 22300537
DOI: 10.1186/1471-2105-13-23

[…] solely on annotation frequency and ignore semantic distance. although semantic distance is incorporated into methods such as parent-child union, elim and weight, the state-of-the-art mea methods gengo and mgsa use flattened representations of the ontology and therefore fail to explicitly incorporate semantic distance., real datasets frequently suffer from sparsity due to a variety of data […]

GenGO institution(s)
Computer Science Department, Carnegie Mellon University, Pittsburgh, PA, USA; Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, USA; Department of Molecular Biology, Hebrew University Medical School, Jerusalem, Israel; Department of Molecular Genetics and Biochemistry, University of Pittsburgh Medical School, Pittsburgh, PA, USA
GenGO funding source(s)
This work was supported by NIH grant NO1 AI-500 and NSF CAREER award 0448453.

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