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June 21, 2008BioinformaticsOpen Access

Database indexing for production MegaBLAST searches

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Authors

AMAleksandr MorgulisNational Center for Biotechnology InformationGCGeorge CoulourisNational Institutes of HealthYRYan RaytselisNational Institutes of Health

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Implication

Computational study demonstrates optimized database indexing for MegaBLAST searches, indicating improved query throughput across massive nucleotide repositories.

Key Points

  • To optimize high-volume nucleotide alignment throughput using dedicated database indexing schemes for production MegaBLAST applications.
  • Evaluated database indexing architectures structured to accelerate large-scale nucleotide similarity searches.
  • Assessed search execution efficiency within high-throughput production MegaBLAST environments.
  • Optimized database indexing substantially reduces query times for nucleotide alignments across massive sequence collections.
  • Indexed database access maintains alignment sensitivity while supporting scalable production workloads.

Cite This Study

Morgulis et al. (2008) studied this question.

synapsesocial.com/papers/69d570d875589c71d767df73https://doi.org/10.1093/bioinformatics/btn322
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