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Related Experiment Video

Updated: Apr 9, 2026

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Published on: August 21, 2019

Cross-organism analysis using InterMine.

Rachel Lyne^1,2, Julie Sullivan^1,2, Daniela Butano^1,2

¹Cambridge Systems Biology Centre, University of Cambridge, Cambridge, United Kingdom.

Genesis (New York, N.Y. : 2000)

|June 23, 2015

Summary

This summary is machine-generated.

InterMine is a powerful data integration and analysis software for complex biological datasets. It offers user-friendly web access and programming interfaces, facilitating cross-organism research for the scientific community.

Keywords:

comparative analysis cross-organism analysis data analysis data integration genomics integrative analysis proteomics

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Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

Biological data is large and complex, requiring sophisticated integration and analysis tools.
Existing systems may lack comprehensive features for cross-organism comparisons and data exploration.

Purpose of the Study:

To describe the InterMine software system for biological data integration and analysis.
To highlight its utility for interoperation and developing cross-organism analysis tools.
To showcase InterMine as a freely available resource for the scientific community.

Main Methods:

InterMine employs a data warehouse architecture for integrating diverse biological datasets.
It provides a user-friendly web interface with search, filtering, and graphical analysis tools.
Web services and programming interfaces (e.g., for scripting languages) enable programmatic access for bioinformaticians.

Main Results:

InterMine databases are available for major model organisms (yeast, worm, fly, zebrafish, mouse, rat) and humans.
The system facilitates integrative analysis and the development of cross-organism research tools.
Interactive results tables and graphical tools support data exploration and statistical enrichment analysis.

Conclusions:

InterMine is a versatile and accessible platform for exploring and analyzing large-scale biological data.
Its comprehensive features and multi-organism support empower researchers in comparative genomics and systems biology.
Freely available InterMine resources enhance biological data interoperability and scientific discovery.