Motif Detection
Motif Detection is a computational method in bioinformatics that identifies conserved sequence patterns within biological macromolecules by statistically modeling position-specific character frequencies and insertions/deletions using Profile Hidden Markov Models.
987
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105.3K
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2.7K
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968
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Publications per year
2017–2026
112
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987
MEME SUITE: tools for motif discovery and searching
Timothy L. Bailey, Mikael Bodén, Fabian A. Buske et al. · Nucleic Acids Research · 2009 · 11.5K citations · Full text
Timothy L. Bailey, James Johnson, Charles E. Grant et al. · Nucleic Acids Research · 2015 · 5.5K citations · Full text
MEME: discovering and analyzing DNA and protein sequence motifs
Timothy L. Bailey, N. Williams, C. Misleh et al. · Nucleic Acids Research · 2006 · 2.8K citations · Full text
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University of Washington
Seattle, United States
24 h-index
62 publications
141.4K citations
University of California San Diego
San Diego, United States
17 h-index
36 publications
9.1K citations

The University of Queensland
Brisbane, Australia
17 h-index
51 publications
141.9K citations

Centre National de la Recherche Scientifique
Paris, France
16 h-index
54 publications
2.5K citations
University of Connecticut
Storrs, United States
16 h-index
63 publications
5.6K citations
National Institutes of Health
Bethesda, United States
15 h-index
36 publications
4.4K citations

Washington University in St. Louis
St Louis, United States
15 h-index
41 publications
3.3K citations
Stanford University
Stanford, United States
14 h-index
32 publications
2.1K citations
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104 publications · 33.5K citations
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148 publications · 18.8K citations
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83 publications · 3.7K citations
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CABIOS · 36 publications · 2.6K citations
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32 publications · 2.5K citations
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