Simple statistical identification and removal of contaminant sequences in marker-gene and metagenomics data

20183,407 citationsJournal Articlegold Open Access

Authors

Diana M. Proctor · University of California, San Francisco

David A. Relman · VA Palo Alto Health Care System

Benjamin J. Callahan · North Carolina State University

Abstract

Decontam improves the quality of metagenomic and marker-gene sequencing by identifying and removing contaminant DNA sequences. Decontam integrates easily with existing MGS workflows and allows researchers to generate more accurate profiles of microbial communities at little to no additional cost.

Topics & Keywords

Gene expression and cancer classification Gut microbiota and health Metabolomics and Mass Spectrometry Studies

Publication Details

Published in: Microbiome

Volume 6, Issue 1, pp. 226-226

DOI: 10.1186/s40168-018-0605-2

Field-Weighted Citation Impact: 74.69

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Simple statistical identification and removal of contaminant sequences in marker-gene and metagenomics data

Authors

Abstract

Topics & Keywords

Publication Details