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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.

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 13, 2026

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

Galaxy LIMS for next-generation sequencing.

Jelle Scholtalbers¹, Jasmin Rößler, Patrick Sorn

¹Computational Medicine, TRON - Translational Oncology at the Johannes Gutenberg University of Mainz Medicine, 55131 Mainz, Germany. jelle.scholtalbers@tron-mainz.de

Bioinformatics (Oxford, England)

|March 13, 2013

Summary

This summary is machine-generated.

A new laboratory information management system (LIMS) integrated with the Galaxy platform streamlines next-generation sequencing (NGS) workflows. This system enhances sample tracking, data management, and analysis for researchers and lab technicians.

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Last Updated: May 13, 2026

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Published on: August 29, 2014

Area of Science:

Bioinformatics
Genomics
Laboratory Management

Background:

Next-generation sequencing (NGS) laboratories require efficient data management and workflow integration.
Existing laboratory information management systems (LIMS) may not be optimally integrated with analysis platforms.
Streamlining sample submission, quality control, and result accessibility is crucial for NGS research.

Purpose of the Study:

To develop and implement a LIMS within the Galaxy platform for an NGS laboratory.
To enhance sample tracking, quality control, and data accessibility for researchers.
To provide a user-friendly interface for sample submission and result retrieval.

Main Methods:

Integration of a LIMS into the existing Galaxy platform.
Development of customizable sample information forms and barcoded submission forms.
Implementation of automated flow cell design and sample sheet generation.
Utilizing a message queuing system for external data storage and an API for result pre-processing.

Main Results:

A functional LIMS providing standard and customizable forms for lab technicians.
Automated features including sample quality tracking, flow cell design, and sample sheet generation.
A user-friendly researcher interface for request creation, sample submission, and results access.
Seamless integration with Galaxy analysis tools and workflows.
Successful reporting to external systems and automated pre-processing of raw sequencing results.

Conclusions:

The developed LIMS effectively integrates with the Galaxy platform, enhancing NGS laboratory operations.
The system improves efficiency for both lab technicians and researchers through automation and user-friendly interfaces.
Features are designed for the Illumina HiSeq 2000 but are broadly applicable to other sequencing instruments.
The LIMS facilitates streamlined data management from sample submission to result analysis.