2009
DOI: 10.1093/bioinformatics/btp554
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MOODS: fast search for position weight matrix matches in DNA sequences

Abstract: Summary: MOODS (MOtif Occurrence Detection Suite) is a software package for matching position weight matrices against DNA sequences. MOODS implements state-of-the-art online matching algorithms, achieving considerably faster scanning speed than with a simple brute-force search. MOODS is written in C++, with bindings for the popular BioPerl and Biopython toolkits. It can easily be adapted for different purposes and integrated into existing workflows. It can also be used as a C++ library.Availability: The packag… Show more

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Cited by 172 publications
(144 citation statements)
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“…The consensus binding sequence and position frequency matrix were obtained for OpaR (33) and AphA (55). The position frequency matrix was then used to identify potential binding sites using the MOODS (Motif Occurrence Detection Suite) algorithm (version 1.0.2.1) (84,85). The upstream intergenic sequence for the first gene of each operon was obtained from the NCBI database and used to identify putative binding sites.…”
Section: Methodsmentioning
confidence: 99%
“…The consensus binding sequence and position frequency matrix were obtained for OpaR (33) and AphA (55). The position frequency matrix was then used to identify potential binding sites using the MOODS (Motif Occurrence Detection Suite) algorithm (version 1.0.2.1) (84,85). The upstream intergenic sequence for the first gene of each operon was obtained from the NCBI database and used to identify putative binding sites.…”
Section: Methodsmentioning
confidence: 99%
“…Transcription factor motifs in ChIP-seq peak regions were detected using MOODS 52 . The motif thresholds were defined based on P < 0.0001).…”
Section: Mathematical Aspects Of Linear Estimation Methods (Efilter)mentioning
confidence: 99%
“…Peak sequences (±75 bp from the peak summit) were then extracted from the UCSC hg19 build of the human genome using the twobitreader package (available on PyPI). Occurrences of motifs were found using analyze.py (seriesoftubes), which relies on MOODS [54] for efficiency. JASPAR [55] motifs MA0144.1 and MA0099.2 were used to find STAT3 and AP1 sites, respectively.…”
Section: Gbr To Gene Assignmentmentioning
confidence: 99%