Dataset Information

MOCHI: a comprehensive cross-platform tool for amplicon-based microbiota analysis.

ABSTRACT:

Motivation

Microbiota analyses have important implications for health and science. These analyses make use of 16S/18S rRNA gene sequencing to identify taxa and predict species diversity. However, most available tools for analyzing microbiota data require adept programming skills and in-depth statistical knowledge for proper implementation. While long-read amplicon sequencing can lead to more accurate taxa predictions and is quickly becoming more common, practitioners have no easily accessible tools with which to perform their analyses.

Results

We present MOCHI, a GUI tool for microbiota amplicon sequencing analysis. MOCHI preprocesses sequences, assigns taxonomy, identifies different abundant species and predicts species diversity and function. It takes either taxonomic count table or FASTQ of partial 16S/18S rRNA or full-length 16S rRNA gene as input. It performs analyses in real time and visualizes data in both tabular and graphical formats.

Availability and implementation

MOCHI can be installed to run locally or accessed as a web tool at https://mochi.life.nctu.edu.tw.

Supplementary information

Supplementary data are available at Bioinformatics online.

SUBMITTER: Zheng JJ

PROVIDER: S-EPMC9477538 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature

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Publications

MOCHI: a comprehensive cross-platform tool for amplicon-based microbiota analysis.

Zheng Jun-Jie JJ Wang Po-Wen PW Huang Tzu-Wen TW Yang Yao-Jong YJ Chiu Hua-Sheng HS Sumazin Pavel P Chen Ting-Wen TW

Bioinformatics (Oxford, England) 20220901 18

<h4>Motivation</h4>Microbiota analyses have important implications for health and science. These analyses make use of 16S/18S rRNA gene sequencing to identify taxa and predict species diversity. However, most available tools for analyzing microbiota data require adept programming skills and in-depth statistical knowledge for proper implementation. While long-read amplicon sequencing can lead to more accurate taxa predictions and is quickly becoming more common, practitioners have no easily acces ...[more]

PMID: 35876544

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Dataset Information

MOCHI: a comprehensive cross-platform tool for amplicon-based microbiota analysis.

Motivation

Results

Availability and implementation

Supplementary information

Publications

MOCHI: a comprehensive cross-platform tool for amplicon-based microbiota analysis.

Similar Datasets

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