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- Authors:
- Pichahpuk Uthaipaisanwong King Mongkut's University of Technology Thonburi, Thailand,
King Mongkut's University of Technology Thonburi, Thailand
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- Pantakan Puengrang King Mongkut's University of Technology Thonburi, Thailand,
King Mongkut's University of Technology Thonburi, Thailand
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- Chalida Rangsiwutisak King Mongkut's University of Technology Thonburi, Thailand,
King Mongkut's University of Technology Thonburi, Thailand
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- Photchanathorn Prombun King Mongkut's University of Technology Thonburi, Thailand,
King Mongkut's University of Technology Thonburi, Thailand
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- Athisri Sitthipunya King Mongkut's University of Technology Thonburi, Thailand,
King Mongkut's University of Technology Thonburi, Thailand
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- Natchaphon Rajudom King Mongkut's University of Technology Thonburi, Thailand,
King Mongkut's University of Technology Thonburi, Thailand
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- Kanthida Kusonmano King Mongkut's University of Technology Thonburi and King Mongkut's University of Technology Thonburi, Thailand
King Mongkut's University of Technology Thonburi and King Mongkut's University of Technology Thonburi, Thailand
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CSBio2020: CSBio '20: Proceedings of the Eleventh International Conference on Computational Systems-Biology and BioinformaticsNovember 2020Pages 108–110https://doi.org/10.1145/3429210.3429211
Published:20 November 2020Publication History
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CSBio2020: CSBio '20: Proceedings of the Eleventh International Conference on Computational Systems-Biology and Bioinformatics
Beginner's guide to microbiome analysis: Bioinformatics guidelines and practical concepts for amplicon-based microbiome analysis.
Pages 108–110
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ABSTRACT
The advent of next-generation sequencing (NGS) allows to study living organisms by reading genetic materials in a high-throughput manner. The technology has opened up a field of microbial research in several areas such as medicine, agriculture, energy, and environment, to study a whole microbial community in an environment of interest without culturing. Bioinformatics analysis is a need in order to characterize and analyze microbiota in the studied samples. In this tutorial, we will give an overview of microbiome analysis based on high-throughput 16S rRNA genes sequencing, a commonly-used target sequence to classify bacteria and archaea. With biological and technology backgrounds, microbiome data from short-read sequencing platform will be elucidated followed by all important computational steps for microbiome analysis. The steps include data preprocessing, amplicon sequence variant analysis, taxonomy assignment, data normalization, and diversity analyses. Practical concepts and codes for the microbiome analysis will be demonstrated step by step providing a basic guideline for beginner.
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CSBio2020: CSBio '20: Proceedings of the Eleventh International Conference on Computational Systems-Biology and Bioinformatics
November 2020
110 pages
ISBN:9781450388238
DOI:10.1145/3429210
Copyright © 2020 ACM
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [emailprotected]
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- Published: 20 November 2020
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Author Tags
- 16S rRNA gene sequencing
- Bioinformatics
- Biological high-throughput data
- Microbiome analysis
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