Hypervariable Region Analysis
Hypervariable Region Analysis is a molecular sequence analysis method that targets highly divergent segments within the 16S ribosomal RNA gene to enable microbial taxonomic classification and phylogenetic differentiation among closely related bacterial and archaeal species.
1.7K
Publications
124.7K
Citations
8.9K
Authors
2.3K
Institutions
Publications per year
2017–2026
463
1.7K
A Simple Cipher Governs DNA Recognition by TAL Effectors
Matthew Moscou, Adam J. Bogdanove · Science · 2009 · 2K citations
1–5 of 1.7K
8.9K
12
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The University of Texas Southwestern Medical Center, United States
10 publications · 685 citations
10
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8
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1–5 of 8.9K
2.3K

Marine Biological Laboratory
Woods Hole, United States
28 h-index
79 publications
37.7K citations

Centre National de la Recherche Scientifique
Paris, France
24 h-index
88 publications
9.8K citations
National Institutes of Health
Bethesda, United States
23 h-index
75 publications
7.1K citations
Inserm
Paris, France
18 h-index
97 publications
5.6K citations

Chinese Academy of Sciences
Beijing, China
16 h-index
65 publications
3.5K citations

Centers for Disease Control and Prevention
Atlanta, United States
16 h-index
101 publications
15.5K citations
Harvard University
Cambridge, United States
16 h-index
34 publications
3.5K citations
University of Oxford
Oxford, United Kingdom
15 h-index
41 publications
5.2K citations
1–8 of 2.3K
94 publications · 12.2K citations
58
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JVI · 80 publications · 8.9K citations
54
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JCM · 50 publications · 4.9K citations
35
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PNAS · 40 publications · 5K citations
32
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52 publications · 2.5K citations
29
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1–5