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

Jun Jie Zheng, Po Wen Wang, Tzu Wen Huang, Yao Jong Yang, Hua Sheng Chiu, Pavel Sumazin, Ting Wen Chen

研究成果: 雜誌貢獻文章同行評審

摘要

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.
原文英語
頁(從 - 到)4286-4292
頁數7
期刊Bioinformatics (Oxford, England)
38
發行號18
DOIs
出版狀態已發佈 - 9月 15 2022

ASJC Scopus subject areas

  • 統計與概率
  • 生物化學
  • 分子生物學
  • 電腦科學應用
  • 計算機理論與數學
  • 計算數學

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