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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

MicrobiomeAnalyst: a web-based tool for comprehensive statistical, visual and meta-analysis of microbiome data.

Achal Dhariwal¹, Jasmine Chong², Salam Habib³

¹Department of Animal Science, McGill University, Quebec, Canada.

Nucleic Acids Research

|April 28, 2017

Summary

MicrobiomeAnalyst is a new tool for analyzing complex microbiome data. It offers modules for 16S rRNA and shotgun sequencing data, aiding in functional interpretation and discovery.

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Area of Science:

Microbiology
Bioinformatics
Computational Biology

Background:

Next-generation sequencing has advanced microbiome research, but analyzing large datasets remains challenging.
Current research focuses on downstream statistical analysis and functional interpretation of microbiome data.

Purpose of the Study:

To introduce MicrobiomeAnalyst, a user-friendly tool for comprehensive microbiome data analysis.
To integrate advanced statistics, visualization, and knowledge bases for microbiome research.

Main Methods:

MicrobiomeAnalyst features four modules: Marker Data Profiling (16S rRNA), Shotgun Data Profiling (metagenomics/metatranscriptomics), Taxon Set Enrichment Analysis, and Projection with Public Data.
The tool supports community profiling, comparative analysis, functional prediction, and metabolic network visualization.

Main Results:

The Marker Data Profiling module enables community profiling and functional prediction from 16S rRNA data.
The Shotgun Data Profiling module facilitates exploratory analysis and functional profiling of shotgun metagenomics data.
The Taxon Set Enrichment Analysis and Projection with Public Data modules aid in interpreting taxonomic signatures and discovering patterns by comparing with public data.

Conclusions:

MicrobiomeAnalyst provides a comprehensive platform for analyzing diverse microbiome data outputs.
The tool empowers researchers with advanced statistical and visualization techniques for deeper biological insights.