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Related Experiment Video

Updated: Apr 26, 2026

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Published on: October 15, 2019

Getting started with microbiome analysis: sample acquisition to bioinformatics.

Ranjit Kumar¹, Peter Eipers², Rebecca B Little³

¹Center for Clinical and Translational Sciences, University of Alabama at Birmingham.

Current Protocols in Human Genetics

|July 22, 2014

Summary

This summary is machine-generated.

Investigating microbial communities is now possible without lab cultivation, thanks to culture-independent methods and high-throughput sequencing. This study details a microbiome analysis pipeline and a bioinformatics workflow called QWRAP for data analysis.

Keywords:

16S rRNA genes QWRAP bioinformatics analysis microbe communities microbiome analysis pipeline

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Guided Protocol for Fecal Microbial Characterization by 16S rRNA-Amplicon Sequencing

Guided Protocol for Fecal Microbial Characterization by 16S rRNA-Amplicon Sequencing

Published on: March 19, 2018

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Last Updated: Apr 26, 2026

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Published on: October 15, 2019

An In Vitro Batch-culture Model to Estimate the Effects of Interventional Regimens on Human Fecal Microbiota

An In Vitro Batch-culture Model to Estimate the Effects of Interventional Regimens on Human Fecal Microbiota

Published on: July 31, 2019

Guided Protocol for Fecal Microbial Characterization by 16S rRNA-Amplicon Sequencing

Guided Protocol for Fecal Microbial Characterization by 16S rRNA-Amplicon Sequencing

Published on: March 19, 2018

Area of Science:

Microbiology
Bioinformatics
Genomics

Background:

Traditional microbial studies relied on laboratory cultivation, limiting the investigation of unculturable microorganisms.
Many microbial communities are difficult to study due to the inability to culture their members in vitro.

Purpose of the Study:

To describe a comprehensive workflow for microbiome analysis.
To introduce QWRAP, a novel bioinformatics tool for analyzing microbiome data.

Main Methods:

Sample acquisition from various human body sites.
Isolation of microbial DNA and subsequent high-throughput sequencing on the Illumina MiSeq platform.
Application of the QWRAP analytical workflow for bioinformatics data analysis.

Main Results:

A complete pipeline for microbiome analysis, from sample collection to sequencing, is presented.
The QWRAP workflow offers a new approach for basic bioinformatics analysis of microbiome data.

Conclusions:

Culture-independent methods, particularly 16S rRNA gene sequencing, have revolutionized the study of microbial communities.
The described pipeline and QWRAP workflow facilitate microbiome analysis for both clinical and basic science researchers.