Genome Deconvolution
Genome Deconvolution is a computational method that separates individual genomic sequences from complex metagenomic mixtures by distinguishing co-occurring genetic elements based on differential abundance, sequence composition, and assembly connectivity patterns.
5
Publications
296
Citations
18
Authors
13
Institutions
Publications per year
2017–2026
3
5
Primordia Vita. Deconvolution from Modern Sequences.
Edward N. Trifonov, Idan Gabdank, Danny Barash et al. · Origins of Life and Evolution of Biospheres · 2006 · 29 citations · Full text
Scalable Microbial Strain Inference in Metagenomic Data Using StrainFacts
Byron J. Smith, Xiangpeng Li, Zhou Jason Shi et al. · Frontiers in Bioinformatics · 2022 · 21 citations · Full text
Life Sciences, Biology, Microbiology +15
1–5 of 5
18
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1
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1
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1–5 of 18
13
Gladstone Institutes
San Francisco, United States
1 h-index
3 publications
63 citations
Illinois Archaeological Survey
Champaign, United States
1 h-index
2 publications
274 citations
University of Haifa
Haifa, Israel
1 h-index
3 publications
87 citations

Wellcome Sanger Institute
Cambridge, United Kingdom
1 h-index
1 publications
94 citations
Ben-Gurion University of the Negev
Beersheba, Israel
1 h-index
2 publications
58 citations
University of Oxford
Oxford, United Kingdom
1 h-index
3 publications
282 citations
Medical Research Council
London, United Kingdom
1 h-index
1 publications
94 citations

Centre for Human Genetics
Oxford, United Kingdom
1 h-index
3 publications
282 citations
1–8 of 13
1 publications · 21 citations
1
h-index
1 publications · 94 citations
1
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1 publications · 137 citations
1
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1 publications · 15 citations
1
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1 publications · 29 citations
1
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