دورية أكاديمية
MOCHI: a comprehensive cross-platform tool for amplicon-based microbiota analysis
| العنوان: | MOCHI: a comprehensive cross-platform tool for amplicon-based microbiota analysis |
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| المؤلفون: | Zheng, Jun-Jie, Wang, Po-Wen, Huang, Tzu-Wen, Yang, Yao-Jong, Chiu, Hua-Sheng, Sumazin, Pavel, Chen, Ting-Wen |
| المساهمون: | Birol, Inanc, Center For Intelligent Drug Systems and Smart Bio-devices, Featured Areas Research Center Program, Higher Education Sprout Project, Ministry of Education, Ministry of Science and Technology |
| المصدر: | Bioinformatics ; volume 38, issue 18, page 4286-4292 ; ISSN 1367-4803 1367-4811 |
| بيانات النشر: | Oxford University Press (OUP) |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Computational Mathematics, Computational Theory and Mathematics, Computer Science Applications, Molecular Biology, Biochemistry, Statistics and Probability |
| الوصف: | 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.twTest. Supplementary information Supplementary data are available at Bioinformatics online. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.1093/bioinformatics/btac494 |
| DOI: | 10.1093/bioinformatics/btac494/45217159/btac494.pdf |
| الإتاحة: | https://doi.org/10.1093/bioinformatics/btac494Test https://academic.oup.com/bioinformatics/article-pdf/38/18/4286/49885184/btac494.pdfTest |
| حقوق: | https://creativecommons.org/licenses/by-nc/4.0Test/ |
| رقم الانضمام: | edsbas.603352C7 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1093/bioinformatics/btac494 |
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