Published in

American Society for Microbiology, mSystems, 2(7), 2022

DOI: 10.1128/msystems.01378-21

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Swapping Metagenomics Preprocessing Pipeline Components Offers Speed and Sensitivity Increases

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Data provided by SHERPA/RoMEO

Abstract

In shotgun metagenomics studies that seek to relate changes in microbial DNA across samples, processing the data on a computer often takes longer than obtaining the data from the sequencing instrument. Recently developed software packages that perform individual steps in the pipeline of data processing in principle offer speed advantages, but in practice they may contain pitfalls that prevent their use, for example, they may make approximations that introduce unacceptable errors in the data.