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BLAST+: architecture and applications.

Christiam Camacho1, George Coulouris, Vahram Avagyan

  • 1National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA. camacho@ncbi.nlm.nih.gov

BMC Bioinformatics
|December 17, 2009
PubMed
Summary
This summary is machine-generated.

Rewritten Basic Local Alignment Search Tool (BLAST) software offers significant speed improvements for analyzing long sequences and large databases. New features enhance usability and efficiency in bioinformatics sequence similarity searching.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Sequence similarity searching is crucial in bioinformatics.
  • Current Basic Local Alignment Search Tool (BLAST) has speed limitations for long sequences and suboptimal user interface.
  • Heuristics-based BLAST is faster than exact methods but can be improved.

Purpose of the Study:

  • To enhance the speed and usability of BLAST software.
  • To introduce new command-line applications for improved sequence similarity searching.
  • To address limitations in processing long queries and database sequences.

Main Methods:

  • Rewriting BLAST software with new features and command-line applications.
  • Implementing chunk processing for long query sequences.
  • Enabling retrieval of relevant parts of long database sequences to reduce CPU and memory usage.
  • Introducing strategy files for saving and reusing user options.

Main Results:

  • Substantial speed improvements for long queries and chromosome-length database sequences compared to current BLAST tools.
  • Reduced CPU time and memory usage when searching short queries against large databases.
  • New modular software library for accessing sequence data from diverse sources.
  • Enhanced user interface for command-line applications.

Conclusions:

  • The rewritten BLAST command-line applications offer significant performance gains.
  • Usability and efficiency of BLAST for large-scale sequence analysis have been improved.
  • New features facilitate easier and faster sequence similarity searching in bioinformatics.