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Updated: May 30, 2026
07:28
JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
Published on: October 19, 2021
Detecting biological network organization and functional gene orthologs
Jike Cui1, Todd F DeLuca, Jae-Yoon Jung
1The Center for Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA.
Bioinformatics (Oxford, England)
|August 23, 2011
Summary
A new package, TripletSearch, analyzes gene coevolution using the Roundup database to reveal biological network organization and infer protein functions. This tool aids in identifying functional orthologs across over 1500 genomes.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- The Roundup database contains orthologous gene information from over 1500 genomes.
- Understanding gene coevolution is crucial for deciphering biological networks.
Purpose of the Study:
- To develop a computational package for analyzing gene triplet relationships.
- To leverage gene coevolution data for biological network inference and functional ortholog identification.
Main Methods:
- Developed the TripletSearch package.
- Utilized the Roundup orthologous gene database.
- Computed gene relationships based on coevolutionary patterns.
Main Results:
- The TripletSearch package computes relationships within gene triplets.
- Identified valuable information for biological network organization.
- Facilitated protein function inference and functional ortholog identification.
Conclusions:
- TripletSearch provides insights into biological network organization from local to system levels.
- The package aids in inferring protein functions and identifying functional orthologs.
- Requires Gene Information (GI) IDs for computation.
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These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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