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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.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.

RNA-seq

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...

Sanger Sequencing

Sanger Sequencing

DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...

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Related Experiment Video

Updated: May 11, 2026

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture (4C-seq)

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture (4C-seq)

Published on: October 5, 2018

RESTseq--efficient benchtop population genomics with RESTriction Fragment SEQuencing.

Eckart Stolle¹, Robin F A Moritz

¹Department of Zoology, Institute of Biology, Martin-Luther-University Halle-Wittenberg, Halle, Saale, Germany. eckart.stolle@zoologie.uni-halle.de

|May 22, 2013

Summary

This summary is machine-generated.

RESTseq offers a cost-effective and flexible DNA enrichment method for Next Generation Sequencing. This approach is valuable for SNP detection and population genomics in diverse organisms, including bees.

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Last Updated: May 11, 2026

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture (4C-seq)

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture (4C-seq)

Published on: October 5, 2018

Next-generation Sequencing of 16S Ribosomal RNA Gene Amplicons

Next-generation Sequencing of 16S Ribosomal RNA Gene Amplicons

Published on: August 29, 2014

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome

Published on: March 22, 2018

Area of Science:

Genomics
Molecular Biology
Bioinformatics

Background:

Genomic DNA enrichment is crucial for Next Generation Sequencing (NGS) applications.
Existing methods can be costly, inflexible, or lack repeatability.
Efficient enrichment is needed for various genetic studies, including SNP detection and population genomics.

Purpose of the Study:

To introduce RESTseq, an improved, cost-efficient, flexible, and repeatable method for DNA fragment enrichment.
To demonstrate the applicability of RESTseq across a range of genetic studies and sequencing platforms.
To validate the RESTseq approach using bee population samples.

Main Methods:

RESTseq utilizes a novel approach for enriching DNA fragments from digested genomic DNA.
The method is designed for compatibility with various Next Generation Sequencing platforms, including personal genome sequencers.
Adjustments to the protocol allow for customization for specific study requirements.

Main Results:

RESTseq provides a cost-efficient and highly flexible solution for DNA enrichment.
The method ensures repeatability, crucial for robust scientific findings.
Successful application demonstrated through comparative analysis of honeybee and stingless bee samples.

Conclusions:

RESTseq is a versatile tool for DNA enrichment in diverse genomic studies.
The method supports SNP detection and genotyping across scales from linkage mapping to population genomics.
RESTseq is particularly useful for non-model organisms and facilitates population genetics research.