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Related Experiment Video

Updated: Feb 23, 2026

Shotgun Proteomics Sample Processing Automated by an Open-Source Lab Robot

Shotgun Proteomics Sample Processing Automated by an Open-Source Lab Robot

Published on: October 28, 2021

Shotgun metagenomics, from sampling to analysis.

Christopher Quince¹, Alan W Walker², Jared T Simpson^3,4

¹Warwick Medical School, University of Warwick, Warwick, UK.

Nature Biotechnology

|September 13, 2017

Summary

This summary is machine-generated.

Shotgun metagenomics transforms microbiology by analyzing microbial DNA. New computational methods are needed to profile complex microbial communities, enabling discoveries in health and biotechnology.

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Last Updated: Feb 23, 2026

Shotgun Proteomics Sample Processing Automated by an Open-Source Lab Robot

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Next-generation Sequencing of 16S Ribosomal RNA Gene Amplicons

Next-generation Sequencing of 16S Ribosomal RNA Gene Amplicons

Published on: August 29, 2014

Area of Science:

Microbiology
Computational Biology
Genomics

Background:

Microbial communities play vital roles in ecosystems and health.
Culturing microbes is challenging, hindering comprehensive study.
Shotgun metagenomics has revolutionized microbial community analysis.

Purpose of the Study:

To address limitations in current metagenomic profiling methods.
To improve the analysis of high-complexity microbial samples.
To facilitate the study of organisms with limited genomic similarity.

Main Methods:

Utilizing high-throughput sequencing technologies.
Employing advanced computational pipelines for data analysis.
Developing novel approaches for assembly-based and mapping-based metagenomic profiling.

Main Results:

Enhanced ability to catalog microbial community members.
Improved understanding of microbial community functions.
Overcoming challenges in profiling low-similarity organisms.

Conclusions:

Advanced computational strategies are essential for metagenomic research.
Accurate profiling of microbial communities unlocks biotechnological potential.
This research supports understanding microbial contributions to health and the environment.