Computational Alignment Algorithms
Computational Alignment Algorithms is a computational methodology that distinguishes itself by systematically identifying optimal correspondences between genomic sequences through algorithmic optimization of alignment scoring metrics under biologically informed constraints.
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2017–2026
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MUSCLE: multiple sequence alignment with high accuracy and high throughput
R. C. Edgar · Nucleic Acids Research · 2004 · 46.5K citations · Full text
Clustal W and Clustal X version 2.0
Mark Larkin, Gordon Blackshields, Nigel P. Brown et al. · Bioinformatics · 2007 · 29.1K citations · Full text
A Greedy Algorithm for Aligning DNA Sequences
Zheng Zhang, Scott Schwartz, Lukas Wagner et al. · Journal of Computational Biology · 2000 · 5.6K citations
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Pennsylvania State University
State College, United States
24 h-index
74 publications
43.9K citations
Stanford University
Stanford, United States
21 h-index
74 publications
21.7K citations
University of California, Berkeley
Berkeley, United States
20 h-index
59 publications
17.5K citations
University of California, Santa Cruz
Santa Cruz, United States
15 h-index
57 publications
41.4K citations
University of Southern California
Los Angeles, United States
15 h-index
33 publications
3K citations
National Institutes of Health
Bethesda, United States
14 h-index
54 publications
26.2K citations
National Center for Biotechnology Information
Bethesda, United States
12 h-index
30 publications
15.4K citations
The University of Tokyo
Tokyo, Japan
12 h-index
26 publications
3.8K citations
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141 publications · 47.6K citations
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49 publications · 65.8K citations
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66 publications · 17.1K citations
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CABIOS · 33 publications · 8.5K citations
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35 publications · 7.6K citations
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