Tissue enrichment analysis for C. elegans genomics.

Journal: BMC bioinformatics
Published Date:

Abstract

BACKGROUND: Over the last ten years, there has been explosive development in methods for measuring gene expression. These methods can identify thousands of genes altered between conditions, but understanding these datasets and forming hypotheses based on them remains challenging. One way to analyze these datasets is to associate ontologies (hierarchical, descriptive vocabularies with controlled relations between terms) with genes and to look for enrichment of specific terms. Although Gene Ontology (GO) is available for Caenorhabditis elegans, it does not include anatomical information.

Authors

  • David Angeles-Albores
    HHMI and California Institute of Technology, Division of Biology and Biological Engineering, 1200 E California Blvd, Pasadena, 91125, USA.
  • Raymond Y N Lee
    HHMI and California Institute of Technology, Division of Biology and Biological Engineering, 1200 E California Blvd, Pasadena, 91125, USA.
  • Juancarlos Chan
    HHMI and California Institute of Technology, Division of Biology and Biological Engineering, 1200 E California Blvd, Pasadena, 91125, USA.
  • Paul W Sternberg
    HHMI and California Institute of Technology, Division of Biology and Biological Engineering, 1200 E California Blvd, Pasadena, 91125, USA. pws@caltech.edu.