Sequencing Depth Normalization
Sequencing Depth Normalization is a computational method used in microbial community profiling and single-cell quality control that adjusts sequencing data to account for variations in sequencing depth across samples, thereby enabling accurate comparison of microbial or cellular composition by scaling read counts to a common standard.
51
Publications
11K
Citations
263
Authors
119
Institutions
Publications per year
2017–2026
33
Variants
Read Count Normalization
51
Differential expression in RNA-seq: A matter of depth
Sonia Tarazona, Fernando García-Alcalde, Joaquı́n Dopazo et al. · Genome Research · 2011 · 1.7K citations · Full text
Methods for normalizing microbiome data: An ecological perspective
Donald T. McKnight, Roger Huerlimann, Deborah S. Bower et al. · Methods in Ecology and Evolution · 2018 · 399 citations · Full text
Life Sciences, Ecology, Microbiology +16
A field guide for the compositional analysis of any-omics data
Thomas P. Quinn, Ionas Erb, Gregory B. Gloor et al. · GigaScience · 2019 · 369 citations · Full text
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119

Pennsylvania State University
State College, United States
5 h-index
21 publications
4.8K citations

University of New England
Armidale, Australia
3 h-index
3 publications
795 citations
University of California San Diego
San Diego, United States
3 h-index
23 publications
907 citations

Western University
London, Canada
3 h-index
5 publications
648 citations
University of Pennsylvania
Philadelphia, United States
2 h-index
2 publications
120 citations
New York Genome Center
New York, United States
2 h-index
4 publications
10.3K citations
Oregon State University
Corvallis, United States
2 h-index
2 publications
120 citations

Deakin University
Burwood, Australia
2 h-index
4 publications
792 citations
1–8 of 119
Repository · 8 publications · 445 citations
8
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4 publications · 299 citations
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4 publications · 5.2K citations
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3 publications · 166 citations
3
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3 publications · 148 citations
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