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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
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Automated Gel Size Selection to Improve the Quality of Next-generation Sequencing Libraries Prepared from Environmental Water Samples

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Enhancing genome recovery across metagenomic samples using MAGmax.

Arangasamy Yazhini¹, Johannes Söding^1,2

¹Quantitative and Computational Biology, Max-Planck Institute for Multidisciplinary Sciences, 37077 Göttingen, Germany.

Bioinformatics (Oxford, England)

|September 26, 2025

Summary

This summary is machine-generated.

MAGmax is a new tool that improves metagenome-assembled genomes (MAGs) by merging and reassembling bins. This method yields more high-quality MAGs faster and with less memory than existing tools like dRep.

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Last Updated: Jan 16, 2026

Automated Gel Size Selection to Improve the Quality of Next-generation Sequencing Libraries Prepared from Environmental Water Samples

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Metagenomic Analysis of Silage

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Published on: January 13, 2017

Area of Science:

Microbiome research
Genomics
Bioinformatics

Background:

Metagenome-assembled genomes (MAGs) are crucial for microbiome research, with their numbers rapidly increasing.
Sample-wise assembly is the standard for MAG generation due to efficiency and resolution.
Dereplication, removing redundant genomes, is essential for MAG quality.

Purpose of the Study:

Introduce MAGmax, an efficient tool for MAG dereplication.
Enhance the quantity and quality of MAGs through novel bin merging and reassembly strategies.
Provide a faster and more memory-efficient alternative to existing dereplication tools.

Main Methods:

MAGmax implements a bin merging and reassembly strategy for dereplication.
Compares MAGmax performance against dRep, a widely used dereplication tool.
Evaluates MAGmax based on speed, memory usage, and MAG quantity/quality.

Main Results:

MAGmax merges multiple bins within a cluster and reassembles them to improve coverage.
MAGmax produces more dereplicated and higher-quality MAGs compared to dRep.
MAGmax operates 1.6x faster and uses three times less memory than dRep.

Conclusions:

MAGmax significantly advances MAG dereplication by enhancing both MAG quantity and quality.
The tool offers a more efficient computational approach for large-scale metagenomic studies.
MAGmax represents a valuable contribution to microbiome research and genome assembly.