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31 lines
1.6 KiB
Text
31 lines
1.6 KiB
Text
The MEME suite: motif based sequence analysis tools
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The MEME Suite allows the biologist to discover novel motifs in
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collections of unaligned nucleotide or protein sequences, and to perform
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a wide variety of other motif-based analyses. The Suite supports motif-
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based analysis of DNA, RNA and protein sequences. It provides motif
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discovery algorithms using both probabilistic (MEME) and discrete models
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(MEME), which have complementary strengths. It also allows discovery of
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motifs with arbitrary insertions and deletions (GLAM2). In addition to
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motif discovery, the MEME Suite provides tools for scanning sequences
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for matches to motifs (FIMO, MAST and GLAM2Scan), scanning for clusters
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of motifs (MCAST), comparing motifs to known motifs (Tomtom), finding
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preferred spacings between motifs (SpaMo), predicting the biological
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roles of motifs (GOMo), measuring the positional enrichment of sequences
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for known motifs (CentriMo), and analyzing ChIP-seq and other large
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datasets (MEME-ChIP).
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Check README.TESTS for runing the recommended tests on the compiled
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executables. Here, the tests *FAIL* on a 32bit system!
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Check README.DATABASES for more info or if you want to install
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meme-suite without the databases present at build time.
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To cite the full MEME suite:
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Timothy L. Bailey, Mikael Bodén, Fabian A. Buske, Martin Frith, Charles
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E. Grant, Luca Clementi, Jingyuan Ren, Wilfred W. Li, William S. Noble,
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"MEME SUITE: tools for motif discovery and searching", Nucleic Acids
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Research, 37:W202-W208, 2009.
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To cite individual tools, please check the citation page:
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http://meme-suite.org/doc/cite.html
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