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Cited by 864

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

A practical guide to amplicon and metagenomic analysis of microbiome data

Open access
Liu, Yong-Xin, Qin, Yuan, Chen, Tong, Lu, Meiping, Qian, Xubo, Guo, Xiaoxuan, Bai, Yang·2021·Protein & Cell

Abstract

Advances in high-throughput sequencing (HTS) have fostered rapid developments in the field of microbiome research, and massive microbiome datasets are now being generated. However, the diversity of software tools and the complexity of analysis pipelines make it difficult to access this field. Here, we systematically summarize the advantages and limitations of microbiome methods. Then, we recommend specific pipelines for amplicon and metagenomic analyses, and describe commonly-used software and databases, to help researchers select the appropriate tools. Furthermore, we introduce statistical and visualization methods suitable for microbiome analysis, including alpha- and beta-diversity, taxonomic composition, difference comparisons, correlation, networks, machine learning, evolution, source tracing, and common visualization styles to help researchers make informed choices. Finally, a step-by-step reproducible analysis guide is introduced. We hope this review will allow researchers to carry out data analysis more effectively and to quickly select the appropriate tools in order to efficiently mine the biological significance behind the data.

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Metadata

Authors
Liu, Y.-X., Qin, Y., Chen, T., Lu, M., Qian, X., Guo, X., & Bai, Y.
Venue
Protein & Cell
Published
2020-05-11
Volume
12
Issue
5
Pages
315-330
ISSN
  • 1674-800X (ISSN-L)
  • 1674-8018
OpenAlex
W3024376490
Cited by
864
References
29
FWCI
27.59
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: A practical guide to amplicon and metagenomic analysis of microbiome data. https://app.cochat.ai/papers/10.1007/s13238-020-00724-8
The paper
Liu, Y.-X., Qin, Y., Chen, T., Lu, M., Qian, X., Guo, X., & Bai, Y. (2021). A practical guide to amplicon and metagenomic analysis of microbiome data. Protein & Cell. https://doi.org/10.1007/s13238-020-00724-8

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