FIMO: scanning for occurrences of a given motif

FIMO: поиск вхождений заданного мотива
Timothy L. Bailey, William Stafford Noble, Charles E. Grant
2011-02-16

FIMOFind Individual Motif Occurrencesfalse discovery ratelog-likelihood ratio scoreposition-specific scoring matrix
UNLABELLED: A motif is a short DNA or protein sequence that contributes to the biological function of the sequence in which it resides. Over the past several decades, many computational methods have been described for identifying, characterizing and searching with sequence motifs. Critical to nearly any motif-based sequence analysis pipeline is the ability to scan a sequence database for occurrences of a given motif described by a position-specific frequency matrix. RESULTS: We describe Find Individual Motif Occurrences (FIMO), a software tool for scanning DNA or protein sequences with motifs described as position-specific scoring matrices. The program computes a log-likelihood ratio score for each position in a given sequence database, uses established dynamic programming methods to convert this score to a P-value and then applies false discovery rate analysis to estimate a q-value for each position in the given sequence. FIMO provides output in a variety of formats, including HTML, XML and several Santa Cruz Genome Browser formats. The program is efficient, allowing for the scanning of DNA sequences at a rate of 3.5 Mb/s on a single CPU. AVAILABILITY AND IMPLEMENTATION: FIMO is part of the MEME Suite software toolkit. A web server and source code are available at http://meme.sdsc.edu.
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FIMO applies false discovery rate analysis to estimate a q-value for each scanned position.
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FIMO computes a log-likelihood ratio score for each position and converts scores to P-values using established dynamic programming methods.
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FIMO is a software tool that scans DNA or protein sequences for motifs described by position-specific scoring matrices.
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FIMO is efficient, scanning DNA at a rate of 3.5 Mb/s on a single CPU.
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FIMO is implemented as part of the MEME Suite and is available as source code and via a web server.
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FIMO outputs results in multiple formats including HTML, XML, and Santa Cruz Genome Browser formats.

DNA or protein sequences being scanned for motif occurrences using position-specific scoring matrices

Detection and significance scoring of individual motif occurrences via log-likelihood ratio scoring, P-value conversion, and false discovery rate (q-value) estimation across sequence databases

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Publication Date
2011-02-16
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Authors
Timothy L. Bailey
William Stafford Noble
Charles E. Grant
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