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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
Published on: August 15, 2019
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HumanMine: advanced data searching, analysis and cross-species comparison
Rachel Lyne1, Adrián Bazaga1, Daniela Butano1
1Department of Genetics, University of Cambridge, Downing Pl, Cambridge, CB2 3EH, UK.
Summary
HumanMine is an integrated database for human genomics and proteomics data, offering tools for sophisticated data exploration and analysis. It enables integrative analysis across multiple data sources to uncover new biological insights.
Area of Science:
- Bioinformatics
- Genomics
- Proteomics
Background:
- Genomic and proteomic data are increasingly complex and diverse.
- Integrating data from various sources is crucial for biological discovery.
- Existing platforms may lack comprehensive integration or user-friendly analysis tools.
Purpose of the Study:
- To introduce HumanMine, an integrated database for human genomics and proteomics data.
- To provide a powerful platform for sophisticated data exploration and analysis.
- To facilitate integrative analysis across multiple experimental, computational, and curated data sources.
Main Methods:
- Developed using the InterMine data integration platform.
- Integrated diverse data types including genes, proteins, pathways, expression levels, Single Nucleotide Polymorphisms (SNPs), and diseases.
- Provided a user-friendly web interface and a scriptable web service Application Programming Interface (API).
Main Results:
- HumanMine offers a single, searchable database combining multiple data types.
- The platform supports sophisticated query options, interactive results tables, and data export.
- Includes graphical analysis tools for statistical enrichment and exploration of biological entities.
Conclusions:
- HumanMine facilitates integrative, multistage analysis for uncovering novel biological insights.
- The database empowers researchers to explore complex human genomics and proteomics data effectively.
- Promotes a powerful approach in modern biology by analyzing multiple sources of evidence together.

