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Applications of network BLAST server

T L Madden1, R L Tatusov, J Zhang

  • 1National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA.

Methods in Enzymology
|January 1, 1996
PubMed
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The growing sequence databases necessitate advanced computational tools. A new network BLAST service enables automated analysis and integration, improving efficiency for molecular biologists.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Sequence databases are expanding rapidly due to large-scale projects.
  • Manual evaluation of computational sequence comparison reports (like BLAST) is becoming impractical.
  • Existing tools require enhanced filtering and integration capabilities.

Purpose of the Study:

  • To introduce a new network BLAST service.
  • To enable automated analysis and filtering of sequence comparison results.
  • To facilitate the integration of BLAST into larger computational systems.

Main Methods:

  • Development of a network BLAST service.
  • Implementation of output filtering by organism, source, and annotation.
  • Enabling programmatic access to BLAST functionality.

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Main Results:

  • The network BLAST service allows for practical evaluation of large datasets.
  • BLAST output can be presented in various formats (e.g., BLANCE).
  • BLAST can be seamlessly called from other applications for integrated workflows.

Conclusions:

  • The network BLAST service addresses the challenges posed by rapidly growing sequence data.
  • Automated sequence evaluation and integration are now feasible.
  • This advancement will empower molecular biologists with more efficient database searching capabilities.