Bridges: A tool for identifying local similarities in long sequences

Alexey S. Kondrashov; Raquel Assis

doi:10.1093/bioinformatics/btq320

Bridges: A tool for identifying local similarities in long sequences

Alexey S. Kondrashov, Raquel Assis

Biology

Research output: Contribution to journal › Article › peer-review

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 language	English (US)
Article number	btq320
Pages (from-to)	2055-2056
Number of pages	2
Journal	Bioinformatics
Volume	26
Issue number	16
DOIs	https://doi.org/10.1093/bioinformatics/btq320
State	Published - 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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10.1093/bioinformatics/btq320

Cite this

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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.",

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Bridges: A tool for identifying local similarities in long sequences

Abstract

All Science Journal Classification (ASJC) codes

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