Software

 

GRIFn logo

  GRIFn
[Gene Relationship Identification in Functional data]

GRIFn is a system for evaluation of datasets and methods using a functional genomics gold standard based on curation by expert biolgists. It allows users to assess the ability of their datasets or methods to recapitulate known biology both in a global sense and in the context of specific biological processes. GRIFn allows enables fair comparisons between various data types and methods.

 
Myers CL, Barrett D, Hibbs MA, Huttenhower C, Troyanskaya OG. Finding function: evaluation methods for functional genomic data. BMC Genomics 2006, 7:187.
 
 

bioPIXIE logo

 

bioPIXIE
[Biological Pathway Inference from eXperimental Interaction Evidence]

bioPIXIE is a novel system for biological data integration and visualization for S. cerevisiae. It allows the user to discover interaction networks and pathways in which the user's gene(s) of interest participate. The system is based on a Bayesian algorithm for identification of biological networks based on integrated diverse genomic data.

 

Myers CL, Robson D, Wible A, Hibbs M, Chiriac C, Theesfeld CL, Dolinski K, Troyanskaya OG. Discovery of biological networks from diverse functional genomic data. Genome Biology 2005, 6(13):R114.

 

 

ChARM logo

    ChARMview
    [Chromosomal Abberation Region Miner and Viewer]

    ChARMView is a visualization and analysis system for guided discovery of chromosomal abnormalities from microarray data. Our system facilitates manual or automated discovery of aneuploidies through dynamic visualization and integrated statistical analysis. ChARMView can be used with array CGH and gene expression microarray data, and multiple experiments can be viewed and analyzed simultaneously.

     

    Myers CL, Chen X, Troyanskaya OG. Visualization-based discovery and analysis of genomic abberations in microarray data. BMC Bioinformatics, 6:146, 2005.

    Myers CL, Dunham M, Kung SY, Troyanskaya OG. Accurate detection of aneuploidies in array CGH and gene expression microarray data. Bioinformatics, 20:3533-3543, 2004.

     

     

    GOLEM logo

    GOLEM
    [Gene Ontology Local Exploration Map]

    GOLEM is a tool for viewing, navigating, and analyzing the hierarchical structure and annotations to the gene ontology. The visualization component allows a user to see the local graph structure around a GO term of interest and navigate to nearby nodes. GOLEM also provides the ability to look for statistical enrichment of GO terms in lists of genes and then observe the relationships between those terms. GOLEM is available both as an applet for use online and as a standalone download.

     

    Sealfon RSG, Hibbs MA, Huttenhower C, Myers CL, Troyanskaya OG. GOLEM: an interactive graph-based gene ontology navigation and analysis tool. BMC Bioinformatics 2006, 7:443.

     

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