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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

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Network-Based Gene Function Prediction in Mouse and Other Model Vertebrates Using MouseNet Server.

Eiru Kim¹, Insuk Lee²

¹Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea.

Methods in Molecular Biology (Clifton, N.J.)

|April 29, 2017

Summary

This summary is machine-generated.

MouseNet is a genome-scale co-functional network that predicts gene functions using guilt-by-association. This tool helps researchers discover novel gene functions in mice and other vertebrates.

Keywords:

Co-functional network Functional prediction Guilt-by-association Model vertebrates Mouse Network biology

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An Integrated Approach for Microprotein Identification and Sequence Analysis

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Published on: July 12, 2022

Area of Science:

Genomics
Bioinformatics
Systems Biology

Background:

The mouse (Mus musculus) is a key model organism for studying human development, immunology, and diseases.
Advancements in gene-knockout technologies necessitate efficient methods for identifying candidate genes.
Understanding gene function is crucial for accelerating biological discovery.

Purpose of the Study:

To introduce MouseNet, a comprehensive genome-scale co-functional network for the mouse.
To provide a user-friendly web server for researchers to predict gene functions without bioinformatics expertise.
To outline the theoretical framework and practical application of MouseNet for functional gene prediction.

Main Methods:

Construction of a genome-scale co-functional network (MouseNet) for Mus musculus.
Utilizing the principle of guilt-by-association to infer gene functions from network relationships.
Development of a web server (www.inetbio.org/mousenet) for accessible network analysis.

Main Results:

MouseNet integrates over 88% of protein-coding genes with 788,080 functional relationships.
The MouseNet web server enables functional predictions for genes and pathways.
The framework supports functional prediction in mouse and other model vertebrates.

Conclusions:

MouseNet provides a powerful resource for discovering novel gene functions through network analysis.
The associated web server democratizes functional genomics research for a wider scientific community.
This approach accelerates the understanding of gene roles in biological processes and disease.