TargetMine: A Data Warehouse for Gene Prioritization
Author Information
Author(s): Chen Yi-An, Tripathi Lokesh P., Mizuguchi Kenji
Primary Institution: National Institute of Biomedical Innovation
Hypothesis
An integrated approach that combines results from multiple data types is best suited for optimal target selection in drug discovery.
Conclusion
TargetMine is an effective tool for identifying candidate genes for further investigation in drug discovery.
Supporting Evidence
- TargetMine can identify known disease-associated genes with high precision and coverage.
- The protocol for target prioritisation was benchmarked against 19 sets of known disease-associated genes.
- The integration of diverse biological properties in TargetMine was successful for identifying candidate genes.
Takeaway
TargetMine helps scientists find important genes for research by combining lots of different information in one place.
Methodology
TargetMine integrates various biological data types and employs a protocol for target prioritisation based on gene associations.
Potential Biases
Potential biases may arise from the selection of data sources and the integration process.
Limitations
The biological data in TargetMine is currently limited to a few model organisms and may not cover all relevant data types.
Participant Demographics
Data primarily from human, rat, mouse, and fruit fly.
Statistical Information
P-Value
p≤0.05
Statistical Significance
p≤0.05
Digital Object Identifier (DOI)
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