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New Computational Methodologies to Understand Microbial Diversity

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Encyclopedia of Metagenomics

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Synonyms

Bioinformatic methods for exploring genetic diversity; Methods for metagenomic sequence analysis

Definition

Microbial diversity is broadly defined as genetic variation in natural microbial populations.

Introduction

Metagenomics studies the genetic materials of a natural microbial community recovered from an environmental sample. A typical metagenomic study involves two major steps, including an initial experimental stage for genetic material extraction and sequencing and a following stage using standard bioinformatic tools for molecular sequence analysis. The present review, however, focuses on several recently developed computational methods that are designed to explore ecological diversity of microbial populations through analyzing published metagenomic databases. Although these methods have only been used to mine metagenomic data sets from the oceans, they can be easily adapted to those from any other environments.

An Ensemble Machine Learning Method to Predict Protein...

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Authors and Affiliations

  1. Department of Marine Sciences, University of Georgia, Athens, GA, 30602, USA

    Haiwei Luo

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  1. Haiwei Luo
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Corresponding author

Correspondence to Haiwei Luo .

Editor information

Editors and Affiliations

  1. J. Craig Venter Institute (JCVI), Rockville, Maryland, USA

    Karen E. Nelson

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© 2013 Springer Science+Business Media New York

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Luo, H. (2013). New Computational Methodologies to Understand Microbial Diversity. In: Nelson, K. (eds) Encyclopedia of Metagenomics. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6418-1_762-1

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  • DOI: https://doi.org/10.1007/978-1-4614-6418-1_762-1

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  • Publisher Name: Springer, New York, NY

  • Online ISBN: 978-1-4614-6418-1

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