Implementation of the KEGG API

[kMutagene]

Description

KEGG (Kyoto Encyclopedia of Genes and Genomes) is a database resource for understanding high-level functions and utilities of the biological system, such as the cell, the organism and the ecosystem, from molecular-level information, especially large-scale molecular datasets generated by genome sequencing and other high-throughput experimental technologies.

An implementation of this API in the BioDB project should enable querying of pathways via the KEGG API and parsing of KEGG records.

Starting point resources

• KEGG homepage
• Documentation of the REST-style API
• Documentation of the python implementation at biopython

[kMutagene]

BioDB is its own project, moving this