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A Web Tool for Generating High Quality Machine-readable Biological Pathways

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

MouseCyc: a curated biochemical pathways database for the laboratory mouse.

Alexei V Evsikov¹, Mary E Dolan, Michael P Genrich

¹The Jackson Laboratory, Bar Harbor, ME 04609, USA. Alexei.Evsikov@jax.org

|August 18, 2009

Summary

A new database, MouseCyc, links mouse metabolic pathways to genetic data. This resource aids comparative physiology and the development of mouse models for human diseases.

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Area of Science:

Biochemistry
Genomics
Comparative Physiology

Background:

Linking biochemical genetic data to the mouse reference genome is crucial for comparative physiology.
Developing mouse models is essential for understanding human biology and disease.

Purpose of the Study:

To introduce MouseCyc, a new curated database of metabolic pathways for the laboratory mouse.
To integrate mouse pathway data with genetic and genomic information.

Main Methods:

Development of the MouseCyc database.
Integration with the Mouse Genome Informatics (MGI) database.
Incorporation of pathway data from other organisms, including humans.

Main Results:

MouseCyc provides curated metabolic pathways for the laboratory mouse.
The database is integrated with existing mouse genetic and genomic resources.
Comparative pathway analysis across species is facilitated.

Conclusions:

MouseCyc serves as a valuable resource for researchers studying mouse metabolism.
The database supports comparative physiology and the development of disease models.
Enhanced integration of biological data improves research capabilities.