Inferring microbial co-occurrence networks from amplicon data: a systematic evaluation

Inferring microbial co-occurrence networks from amplicon data: a systematic evaluation

ABSTRACT Microbes commonly organize into communities consisting of hundreds of species involved in complex interactions with each other. 16S ribosomal RNA (16S rRNA) amplicon profiling provides snapshots that reveal the phylogenies and abundance profiles of these microbial communities. These snapsho...

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Bibliographic Details
Main Authors: Dileep Kishore, Gabriel Birzu, Zhenjun Hu, Charles DeLisi, Kirill S. Korolev, Daniel Segrè
Format: Article
Language:English
Published: American Society for Microbiology 2023-08-01
Series:mSystems
Subjects:
Microbiome
16S rRNA
interaction
denoising
taxonomy
network inference
Online Access:https://journals.asm.org/doi/10.1128/msystems.00961-22

Internet

https://journals.asm.org/doi/10.1128/msystems.00961-22

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