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Maxam-Gilbert Sequencing

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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.
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Related Experiment Video

Updated: May 30, 2026

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Published on: June 28, 2018

MaizeGDB becomes 'sequence-centric'.

Taner Z Sen¹, Carson M Andorf, Mary L Schaeffer

¹USDA-ARS Corn Insects and Crop Genetics Research Unit, Ames, IA 50011, USA.

Database : the Journal of Biological Databases and Curation

|August 18, 2011

Summary

This summary is machine-generated.

MaizeGDB enhances genetic and genomic data integration for maize (Zea mays ssp. mays) research. New features improve data accessibility and community involvement in annotation and resource development.

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Novel Sequence Discovery by Subtractive Genomics

Novel Sequence Discovery by Subtractive Genomics

Published on: January 25, 2019

Area of Science:

Plant genetics
Genomics
Bioinformatics

Background:

MaizeGDB serves as a central genetic and genomic information repository for maize (Zea mays ssp. mays).
Evolving researcher needs necessitate continuous updates and data integration.

Purpose of the Study:

To detail recent advancements and future plans for MaizeGDB.
To highlight community involvement in the database's development and prioritization.

Main Methods:

Integrating existing maize genetic data with new genome sequences (B73, Mo17, Palomero Toluqueño).
Implementing a genome browser for graphical representation of sequences.
Developing POPcorn, a portal for accessing independent maize projects and performing BLAST searches.
Initiating a joint MaizeGDB/PlantGDB project for community-driven genome annotation.

Main Results:

Enhanced integration of genetic data with maize genome sequences.
Introduction of a genome browser and the POPcorn portal.
Establishment of a collaborative project for maize genome annotation involving the research community.

Conclusions:

MaizeGDB is actively evolving to meet the needs of the maize research community.
Community engagement is crucial for the successful development and prioritization of biological databases.
New tools and resources improve data accessibility and collaborative research in maize genomics.