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The Gene-Centric Content Management System and Its Application for Cognitive Proteomics
Ekaterina V Poverennaya1, Alexander V Shargunov2, Elena A Ponomarenko3
1Orekhovich Institute of Biomedical Chemistry, Moscow 119191, Russia. k.poverennaya@gmail.com.
Proteomes
|February 24, 2018
Summary
The Human Proteome Project uses human intelligence and new tools like GenoCMS for protein functional annotation. This chromosome-centric approach integrates data for better understanding and sharing of proteomic information.
Area of Science:
- Proteomics
- Bioinformatics
- Genomics
Background:
- The Human Proteome Project is advancing to a new phase focused on functional protein annotation using a chromosome-centric approach.
- Automated methods alone are insufficient; human intelligence is crucial for interpreting complex proteomic data.
Purpose of the Study:
- To expand the Gene-Centric Content Management System (GenoCMS) with new features for protein functional annotation.
- To enable bioinformaticians to develop and integrate custom applications within GenoCMS for a unified informational canvas.
Main Methods:
- Development and integration of GenoCMS with enhanced features for protein annotation.
- Utilizing tools such as CAPER, GenomewidePDB, and The Proteome Browser (TPB) to support data interpretation.
- Implementing a chromosome-centric framework, exemplified by the human chromosome 18 project.
Main Results:
- Successful GenoCMS-enabled integration of informational flows within the human chromosome 18 project.
- Demonstrated scalability of the workflow for other human chromosomes.
- The system supports user-created data tracks, enhancing flexibility.
Conclusions:
- GenoCMS provides a project-oriented informational system that facilitates public data sharing.
- The developed framework supports the integration of human cognition and computational tools for advanced proteomic analysis.
- This approach is vital for the ongoing Human Proteome Project and future genomic research.
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