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Related Experiment Videos

PubMatrix: a tool for multiplex literature mining.

Kevin G Becker1, Douglas A Hosack, Glynn Dennis

  • 1Gene Expression and Genomics Unit, National Institutes of Health, Baltimore, MD, USA. beckerk@grc.nia.nih.gov

BMC Bioinformatics
|December 12, 2003
PubMed
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PubMatrix is a web tool for mining PubMed data, enabling rapid biological interpretation of large experimental datasets. It facilitates systematic assignment of relevance to gene lists and functional annotations.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Multiplex molecular experiments (e.g., cDNA microarrays, proteomics) generate large datasets requiring biological interpretation.
  • Text-based data mining tools are emerging for querying these complex biological datasets.
  • PubMatrix is a web-based tool for text-based mining of PubMed literature.

Purpose of the Study:

  • To introduce PubMatrix, a tool for text-based data mining of PubMed.
  • To demonstrate PubMatrix's utility in analyzing large biological datasets.
  • To facilitate the biological interpretation of multiplex experimental data.

Main Methods:

  • PubMatrix utilizes two keyword lists for text mining PubMed.
  • It generates a frequency matrix of term co-occurrence.

Related Experiment Videos

  • Supports pairwise comparisons of search terms versus modifier terms (up to 1,000 comparisons).

    • Main Results:

    • The tool allows surveying, querying, and archiving pairwise comparison matrices.
    • Keyword lists can include any PubMed searchable terms.
    • Enables annotation of gene lists from cDNA microarray studies, identifying coordinately expressed genes.

    Conclusions:

    • PubMatrix provides a rapid, flexible, and systematic method for assigning genetic, biological, or clinical relevance to lists of terms (e.g., gene names, functional assignments).
    • Facilitates interpretation of large-scale molecular data.
    • An associated public archive offers pre-computed searches.