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Related Experiment Video

Updated: Aug 24, 2025

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

Emerging tools for understanding the human microbiome.

Tarini Shankar Ghosh¹, Mrinmoy Das²

¹APC Microbiome Ireland, University College Cork, Cork, Ireland.

Progress in Molecular Biology and Translational Science

|October 21, 2022

Summary

This summary is machine-generated.

This chapter details computational and bioinformatic strategies for human microbiome research. It explains how DNA sequencing methods impact data analysis for a comprehensive understanding.

Keywords:

Growth rate Integrated OMICs in the microbiome Long read sequencing Machine learning Metagenome informatics Strain investigation Taxonomic classification

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Area of Science:

Microbiome Research
Bioinformatics
Genomic Data Analysis

Background:

Recent technological advancements allow high-resolution investigation of the human microbiome.
Understanding the microbiome requires sophisticated computational and bioinformatic approaches.
DNA sequencing methodologies are crucial for microbiome data generation and analysis.

Purpose of the Study:

To provide an understanding of computational and bioinformatic strategies in microbiome research.
To elucidate how DNA sequencing impacts microbiome data analysis.
To present state-of-the-art metagenomic data analysis and integrated investigation strategies.

Main Methods:

Review of computational and bioinformatic strategies for microbiome data analysis.
Analysis of the influence of upstream DNA sequencing methodologies.
Exploration of integrated investigation approaches combining microbiome data with other data layers.

Main Results:

Detailed overview of current metagenomic data analysis techniques.
Identification of various computational strategies for typical microbiome investigations.
Demonstration of how sequencing choices affect downstream analysis and interpretation.

Conclusions:

Effective computational and bioinformatic strategies are essential for advancing human microbiome research.
Awareness of sequencing methodology's impact is critical for accurate microbiome data analysis.
Integrated approaches offer a more comprehensive understanding of the human microbiome.