Repeat Motif Detection
Repeat Motif Detection is a computational method in motif discovery that identifies recurring patterns or sequences within biological or symbolic data, distinguished by its focus on detecting substrings or structural elements that exhibit significant repetition across the input dataset.
80
Publications
4.1K
Citations
430
Authors
189
Institutions
Publications per year
2017–2026
15
Parents
80
1–5 of 80
430
3
h-index
3
h-index
2
h-index
2
h-index
2
h-index
1–5 of 430
189
King's College London
London, United Kingdom
3 h-index
4 publications
415 citations

University of North Texas Health Science Center
Fort Worth, United States
2 h-index
8 publications
251 citations

University of North Texas
Denton, United States
2 h-index
8 publications
251 citations
Computer Technology Institute and Press “DIOPHANTUS”
Pátrai, Greece
2 h-index
2 publications
55 citations
University of California, Davis
Davis, United States
2 h-index
3 publications
442 citations

University of Bristol
Bristol, United Kingdom
2 h-index
6 publications
180 citations
International Institute of Information Technology, Hyderabad
Hyderabad, India
2 h-index
4 publications
94 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
4 publications
226 citations
1–8 of 189
5 publications · 839 citations
5
h-index
5 publications · 320 citations
5
h-index
4 publications · 163 citations
4
h-index
3 publications · 81 citations
3
h-index
2 publications · 48 citations
2
h-index
1–5