Concepedia

Microbiome Data Normalization

Microbiome Data Normalization is a computational preprocessing technique used in microbiome data analysis to adjust for technical variability and sequencing depth differences across samples, thereby enabling meaningful biological comparisons by transforming raw microbial abundance data into a comparable scale while preserving the underlying ecological structure.

62

Publications

12.5K

Citations

246

Authors

163

Institutions

Publications per year

2017–2026

50

Parents

Publications

62

Waste Not, Want Not: Why Rarefying Microbiome Data Is Inadmissible

Paul J. McMurdie, Susan Holmes · PLoS Computational Biology · 2014 · 3.1K citations · Full text

, , +14

Using MicrobiomeAnalyst for comprehensive statistical, functional, and meta-analysis of microbiome data

Jasmine Chong, Peng Liu, Guangyan Zhou et al. · Nature Protocols · 2020 · 1.8K citations

, , +12

Bioconductor Workflow for Microbiome Data Analysis: from raw reads to community analyses

Ben J. Callahan, Kris Sankaran, Julia Fukuyama et al. · F1000Research · 2016 · 1K citations · Full text

, , +16

Bioconductor workflow for microbiome data analysis: from raw reads to community analyses

Ben J. Callahan, Kris Sankaran, Julia Fukuyama et al. · F1000Research · 2016 · 739 citations · Full text

, , +16

Establishing microbial composition measurement standards with reference frames

James T. Morton, Clarisse Marotz, Alex Washburne et al. · Nature Communications · 2019 · 709 citations · Full text

, , +16

1–5 of 62

Authors

246

  1. RK
    Rob Knight

    University of California San Diego, United States

    4 publications · 850 citations

    4

    h-index

  2. PJ
    Paul J. McMurdie

    Stanford University, United States

    4 publications · 4.8K citations

    4

    h-index

  3. CL
    Christian L. Müller

    Ludwig-Maximilians-Universität München, Germany

    4 publications · 671 citations

    4

    h-index

  4. SH
    Susan Holmes

    Stanford University, United States

    4 publications · 4.9K citations

    4

    h-index

  5. HZ
    Hongyu Zhao

    Yale University, United States

    3 publications · 74 citations

    3

    h-index

1–5 of 246

Institutions

163

  1. Stanford University

    Stanford, United States

    4 h-index

    14 publications

    13.3K citations

  2. University of California San Diego

    San Diego, United States

    4 h-index

    21 publications

    4.3K citations

  3. Helmholtz Zentrum München

    Munich, Germany

    4 h-index

    10 publications

    2.5K citations

  4. Ludwig-Maximilians-Universität München

    Munich, Germany

    4 h-index

    8 publications

    1.9K citations

  5. Mayo Clinic

    Rochester, United States

    3 h-index

    3 publications

    406 citations

  6. University of North Carolina at Charlotte

    Charlotte, United States

    3 h-index

    5 publications

    271 citations

  7. New York University

    New York, United States

    3 h-index

    7 publications

    199 citations

  8. The University of Melbourne

    Melbourne, Australia

    3 h-index

    4 publications

    394 citations

1–8 of 163

Venues

  1. Bioinformatics

    6 publications · 641 citations

    6

    h-index

  2. PLoS Computational Biology

    5 publications · 3.3K citations

    5

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 4 publications · 84 citations

    4

    h-index

  4. Genome biology

    3 publications · 145 citations

    3

    h-index

  5. BMC Bioinformatics

    2 publications · 131 citations

    3

    h-index

1–5