Bridges: A tool for identifying local similarities in long sequences

Alexey S. Kondrashov, Raquel Assis

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

Summary: Bridges is a heuristic search tool that uses short word matches to rapidly identify local similarities between sequences. It consists of three stages: filtering input sequences, identifying local similarities and post-processing local similarities. As input sequence data are released from memory after the filtering stage, genome-scale datasets can be efficiently compared in a single run. Bridges also includes 20 parameters, which enable the user to dictate the sensitivity and specificity of a search.

Original languageEnglish (US)
Article numberbtq320
Pages (from-to)2055-2056
Number of pages2
JournalBioinformatics
Volume26
Issue number16
DOIs
StatePublished - Jun 20 2010

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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