Indel Detection
Indel Detection is a computational method in variant detection that specifically identifies insertions and deletions of nucleotides in genomic sequences relative to a reference genome.
201
Publications
26K
Citations
1.5K
Authors
506
Institutions
Publications per year
2017–2026
77
Parents
201
A universal SNP and small-indel variant caller using deep neural networks
Ryan Poplin, Pi-Chuan Chang, David H. Alexander et al. · Nature Biotechnology · 2018 · 1.9K citations
Strelka: accurate somatic small-variant calling from sequenced tumor–normal sample pairs
Christopher T. Saunders, Wendy S.W. Wong, Sajani Swamy et al. · Bioinformatics · 2012 · 1.8K citations · Full text
Life Sciences, Genetics, Oncology +17
1–5 of 201
1.5K
6
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4
h-index
4
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National Institute of Standards and Technology, United States
4 publications · 1.5K citations
4
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4
h-index
1–5 of 1.5K
506

Broad Institute
Cambridge, United States
10 h-index
45 publications
47.5K citations
University of Washington
Seattle, United States
9 h-index
69 publications
14.9K citations
Stanford University
Stanford, United States
9 h-index
35 publications
2.1K citations
Harvard University
Cambridge, United States
9 h-index
32 publications
11.7K citations
University of Copenhagen
Copenhagen, Denmark
7 h-index
44 publications
5.5K citations

Wellcome Sanger Institute
Cambridge, United Kingdom
6 h-index
19 publications
13.3K citations

Johns Hopkins University
Baltimore, United States
6 h-index
13 publications
2.5K citations

Howard Hughes Medical Institute
Chevy Chase, United States
6 h-index
6 publications
1.4K citations
1–8 of 506
19 publications · 1K citations
15
h-index
15 publications · 4.9K citations
14
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14 publications · 705 citations
13
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13 publications · 4.2K citations
12
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10 publications · 775 citations
10
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1–5