Motif Generation
Motif Generation is a generative pattern design method that systematically produces structurally distinct, recurring subgraph patterns in a network through rule-based or algorithmic differentiation from other pattern generation techniques.
33
Publications
2K
Citations
145
Authors
61
Institutions
Publications per year
2017–2026
10
33
Discovering Motifs in Ranked Lists of DNA Sequences
Eran Eden, Doron Lipson, Sivan Yogev et al. · PLoS Computational Biology · 2007 · 759 citations · Full text
On the detection and refinement of transcription factor binding sites using ChIP-Seq data
Ming Hu, Jindan Yu, Jeremy M. G. Taylor et al. · Nucleic Acids Research · 2010 · 106 citations · Full text
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Michigan Center for Translational Pathology
Ann Arbor, United States
1 h-index
4 publications
424 citations
Universidad Autónoma del Estado de Hidalgo
Pachuca, Mexico
1 h-index
1 publications
26 citations
Western Digital (Israel)
Kfar Saba, Israel
1 h-index
1 publications
13 citations
University of California, Los Angeles
Los Angeles, United States
1 h-index
1 publications
70 citations

University of the Witwatersrand
Johannesburg, South Africa
1 h-index
2 publications
34 citations
University of Maryland, Baltimore County
Baltimore, United States
1 h-index
2 publications
22 citations

Kyoto University
Kyoto, Japan
1 h-index
9 publications
117 citations
California Institute of Technology
Pasadena, United States
1 h-index
2 publications
34 citations
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4 publications · 256 citations
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2 publications · 44 citations
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2 publications · 89 citations
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CABIOS · 1 publications · 25 citations
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AWPL · 1 publications · 28 citations
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