Sequence Logo Analysis
Sequence Logo Analysis is a computational method in bioinformatics that visually represents the conserved patterns and variability of nucleotide or amino acid residues at each position in a set of aligned biological sequences, using information theory to quantify residue frequencies and their informational content.
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21.6K
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190
Authors
93
Institutions
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2017–2026
16
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WebLogo: A Sequence Logo Generator: Figure 1
Gavin E. Crooks, Gary C. Hon, John‐Marc Chandonia et al. · Genome Research · 2004 · 13K citations · Full text
ggseqlogo: a versatile R package for drawing sequence logos
Omar Wagih · Bioinformatics · 2017 · 1.1K citations
Logomaker: beautiful sequence logos in Python
Ammar Tareen, Justin B. Kinney · Bioinformatics · 2019 · 546 citations · Full text
Martin Christen Frølund Thomsen, Morten Nielsen · Nucleic Acids Research · 2012 · 464 citations · Full text
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Frederick National Laboratory for Cancer Research
Frederick, United States
6 h-index
9 publications
7.3K citations
National Cancer Institute
Bethesda, United States
6 h-index
9 publications
7.4K citations
Technical University of Denmark
Kongens Lyngby, Denmark
6 h-index
13 publications
1.8K citations
National Institutes of Health
Bethesda, United States
3 h-index
10 publications
302 citations
University of Copenhagen
Copenhagen, Denmark
3 h-index
11 publications
247 citations
Cold Spring Harbor Laboratory
Cold Spring Harbor, United States
2 h-index
4 publications
1.2K citations
National Center for Biotechnology Information
Bethesda, United States
2 h-index
6 publications
230 citations

European Bioinformatics Institute
Cambridge, United Kingdom
2 h-index
3 publications
1.1K citations
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14 publications · 5.2K citations
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7 publications · 263 citations
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7 publications · 1.7K citations
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3 publications · 160 citations
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2 publications · 31 citations
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