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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.

Maxam-Gilbert Sequencing

Maxam-Gilbert Sequencing

In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
Challenges of the Maxam-Gilbert Method
The...

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Related Experiment Video

Updated: Jun 28, 2026

Introductory Analysis and Validation of CUT&RUN Sequencing Data

Introductory Analysis and Validation of CUT&RUN Sequencing Data

Published on: December 13, 2024

PDBsum new things.

Roman A Laskowski¹

¹European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. roman@ebi.ac.uk

Nucleic Acids Research

|November 11, 2008

Summary

This summary is machine-generated.

PDBsum now offers enhanced structural analysis features, including citation data and protein interactions. It also allows users to upload their own Protein Data Bank (PDB) files for private analysis.

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Analyzing and Building Nucleic Acid Structures with 3DNA

Analyzing and Building Nucleic Acid Structures with 3DNA

Published on: April 26, 2013

Area of Science:

Biochemistry
Structural Biology
Bioinformatics

Background:

The Protein Data Bank (PDB) is a critical repository for experimentally determined 3D structures of biological macromolecules.
Accessing and interpreting complex structural data requires user-friendly tools and comprehensive summary information.

Purpose of the Study:

To introduce recent enhancements to the PDBsum database, a web resource for PDB structural information.
To highlight new features that improve the accessibility and utility of structural data analysis.

Main Methods:

Integration of figures from key structural references.
Inclusion of citation data and Pfam domain diagrams.
Development of tools for visualizing protein-protein interactions and user-uploaded PDB files.

Main Results:

PDBsum now provides richer contextual information for PDB entries.
New features facilitate the understanding of protein domains and interaction networks.
Users can now perform private analyses on their own PDB-formatted structural data.

Conclusions:

The updated PDBsum resource offers a more comprehensive and interactive platform for structural biologists and bioinformaticians.
Enhanced features improve the discoverability and interpretability of protein structural data.
The ability to upload private PDB files expands the utility of PDBsum for individual research projects.