Read Depth Analysis
Read Depth Analysis is a computational method in genomics that quantifies variations in DNA copy number by measuring the relative depth of sequencing reads aligned to a reference genome, distinguishing itself from other structural variation detection approaches through its reliance on the statistical distribution of read coverage to infer duplications or deletions.
167
Publications
15.9K
Citations
1.4K
Authors
501
Institutions
Publications per year
2017–2026
78
167
Characterization of human plasma-derived exosomal RNAs by deep sequencing
Xiaoyi Huang, Tiezheng Yuan, Michael Tschannen et al. · BMC Genomics · 2013 · 1.1K citations · Full text
Atlas of the clinical genetics of human dilated cardiomyopathy
Jan Haas, Karen Frese, Barbara Peil et al. · European Heart Journal · 2014 · 568 citations · Full text
Life Sciences, Cardiology, Genetics +13
1–5 of 167
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501
University College London
London, United Kingdom
9 h-index
49 publications
15.8K citations
University of Cambridge
Cambridge, United Kingdom
9 h-index
33 publications
12K citations

Cornell University
Ithaca, United States
8 h-index
21 publications
1.4K citations
Harvard University
Cambridge, United States
7 h-index
22 publications
2.6K citations

Wellcome Sanger Institute
Cambridge, United Kingdom
7 h-index
22 publications
2.2K citations
University of California, San Francisco
San Francisco, United States
6 h-index
19 publications
10.4K citations
University of Washington
Seattle, United States
5 h-index
13 publications
1.4K citations
Princeton University
Princeton, United States
5 h-index
14 publications
516 citations
1–8 of 501
17 publications · 2.1K citations
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10 publications · 1.1K citations
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Repository · 9 publications · 165 citations
9
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7 publications · 212 citations
7
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7 publications · 1K citations
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