Insertions Detection
Insertions Detection is a metagenomic variant identification method that specifically recognizes the presence of novel nucleotide sequences absent in the reference genome by analyzing discordant read alignments and split-read evidence within high-throughput sequencing data.
321
Publications
34.1K
Citations
1.8K
Authors
681
Institutions
Publications per year
2017–2026
90
Parents
321
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1.8K
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Centre National de la Recherche Scientifique
Paris, France
14 h-index
48 publications
2.5K citations

The University of Melbourne
Melbourne, Australia
9 h-index
30 publications
5.2K citations
Stanford University
Stanford, United States
9 h-index
32 publications
2.8K citations
National University of Singapore
Singapore, Singapore
9 h-index
27 publications
4.2K citations

Johns Hopkins University
Baltimore, United States
8 h-index
30 publications
2.4K citations
University of Washington
Seattle, United States
8 h-index
28 publications
4.1K citations

Howard Hughes Medical Institute
Chevy Chase, United States
8 h-index
19 publications
1.7K citations
Harvard University
Cambridge, United States
8 h-index
31 publications
1.6K citations
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27 publications · 2.8K citations
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27 publications · 3.9K citations
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21 publications · 900 citations
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14 publications · 10.6K citations
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GR · 12 publications · 3.1K citations
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