Sequence Denoising is a computational process in metagenomic data quality control that belongs to the class of sequence error correction methods, specifically distinguished by its ability to identify and remove technical noise from high-throughput sequencing reads while preserving biological variation through statistical modeling of sequencing artifacts.
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12
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27
Denoising PCR-amplified metagenome data
Michael Rosen, Benjamin J. Callahan, Daniel S. Fisher et al. · BMC Bioinformatics · 2012 · 137 citations · Full text
Life Sciences, Biology, Microbiology +14
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54
Institut de Biologia Evolutiva
Barcelona, Spain
2 h-index
2 publications
158 citations
Technion – Israel Institute of Technology
Haifa, Israel
2 h-index
3 publications
672 citations
Centre d'Estudis Avançats de Blanes
Blanes, Spain
2 h-index
4 publications
316 citations
Universitat de Barcelona
Barcelona, Spain
2 h-index
2 publications
158 citations
UiT The Arctic University of Norway
Tromsø, Norway
2 h-index
2 publications
158 citations
Stanford University
Stanford, United States
2 h-index
6 publications
584 citations
University of New Hampshire
Durham, United States
2 h-index
4 publications
188 citations
Tiburon Associates (United States)
Grand Rapids, United States
1 h-index
1 publications
366 citations
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- BMC Bioinformatics
4 publications · 312 citations
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- PLoS ONE
2 publications · 132 citations
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- PeerJ
1 publications · 22 citations
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- IEEE Transactions on Multimedia
1 publications · 34 citations
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- Molecular Ecology Resources
1 publications · 82 citations
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