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Next-generation Sequencing

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
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Optimization and Comparative Analysis of Plant Organellar DNA Enrichment Methods Suitable for Next-generation Sequencing

Optimization and Comparative Analysis of Plant Organellar DNA Enrichment Methods Suitable for Next-generation Sequencing

Published on: July 28, 2017

Reduced representation methods for subgenomic enrichment and next-generation sequencing.

Jeffrey M Good¹

¹Division of Biological Sciences, University of Montana, Missoula, MT, USA. jeffrey.good@mso.umt.edu

Methods in Molecular Biology (Clifton, N.J.)

|November 9, 2011

Summary

Researchers can use DNA enrichment methods before next-generation sequencing to efficiently collect large-scale genomic data. These reduced representation strategies are valuable tools for evolutionary biology studies.

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Area of Science:

Genomics
Evolutionary Biology
Molecular Biology

Background:

Next-generation sequencing (NGS) generates vast amounts of genomic data.
Targeted enrichment of specific DNA regions is crucial for cost-effective large-scale studies.
Reduced representation sequencing methods offer efficient genomic data collection.

Purpose of the Study:

To review common DNA enrichment strategies used with NGS.
To highlight key considerations for selecting appropriate enrichment methods.
To emphasize the utility of these techniques in evolutionary biology.

Main Methods:

Overview of general reduced representation enrichment strategies.
Overview of targeted reduced representation enrichment strategies.
Discussion of factors influencing the choice of enrichment method.

Main Results:

Enrichment strategies significantly reduce the scope of sequencing.
Both general and targeted approaches are compatible with NGS.
Key experimental factors guide method selection.

Conclusions:

DNA enrichment techniques are essential for large-scale genomic data acquisition.
These methods facilitate evolutionary biology research across diverse species.
Strategic selection of enrichment methods optimizes experimental outcomes.