Assessment of statistical methods from single cell, bulk RNA-seq, and metagenomics applied to microbiome data

Assessment of statistical methods from single cell, bulk RNA-seq, and metagenomics applied to microbiome data

Abstract Background The correct identification of differentially abundant microbial taxa between experimental conditions is a methodological and computational challenge. Recent work has produced methods to deal with the high sparsity and compositionality characteristic of microbiome data, but indepe...

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Bibliographic Details
Main Authors: Matteo Calgaro, Chiara Romualdi, Levi Waldron, Davide Risso, Nicola Vitulo
Format: Article
Language:English
Published: BMC 2020-08-01
Series:Genome Biology
Subjects:
Microbiome
Benchmark
Single-cell
Metagenomics
Differential abundance
Online Access:http://link.springer.com/article/10.1186/s13059-020-02104-1

Internet

http://link.springer.com/article/10.1186/s13059-020-02104-1

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