Transcript Sequence Motif Analysis
Transcript Sequence Motif Analysis is a computational method that identifies statistically significant, recurring nucleotide or amino acid patterns within transcript sequences to infer functional, structural, or regulatory elements distinct from general sequence alignment or annotation approaches.
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2017–2026
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Maureen A. Sartor, Michaël Schnekenburger, Jennifer Marlowe et al. · Environmental Health Perspectives · 2009 · 95 citations · Full text
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Cold Spring Harbor Laboratory
Cold Spring Harbor, United States
1 h-index
4 publications
424 citations
Statistical Research (United States)
Redlands, United States
1 h-index
3 publications
285 citations
Novartis (United States)
New York, United States
1 h-index
1 publications
95 citations
University of Hyderabad
Hyderabad, India
1 h-index
1 publications
27 citations
University of California, Irvine
Irvine, United States
1 h-index
6 publications
108 citations
Jawaharlal Nehru University
New Delhi, India
1 h-index
7 publications
189 citations

Peking University
Beijing, China
1 h-index
4 publications
5K citations

University of Padua
Padua, Italy
1 h-index
2 publications
50 citations
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2 publications · 1.4K citations
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2 publications · 46 citations
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EHP · 1 publications · 95 citations
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TIG · 1 publications · 25 citations
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1 publications · 18 citations
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