T2D-Db: A Database for Type 2 Diabetes Research
Author Information
Author(s): Agrawal Shipra, Dimitrova Nevenka, Nathan Prasanthi, Udayakumar K, Lakshmi S Sai, Sriram S, Manjusha N, Sengupta Urmi
Primary Institution: Institute of Bioinformatics and Applied Biotechnology, Bangalore, India
Hypothesis
The integration of various molecular data related to Type 2 diabetes will enhance understanding of its pathogenesis.
Conclusion
T2D-Db serves as a comprehensive resource for researchers studying the molecular basis of Type 2 diabetes.
Supporting Evidence
- T2D-Db provides integrated information on candidate genes, SNPs, and pathways related to Type 2 diabetes.
- The database includes data from multiple organisms, including humans, mice, and rats.
- T2D-Db facilitates graphical presentations of gene expression and protein interactions.
- The resource is designed to be user-friendly and accessible for researchers.
- T2D-Db is the first publicly available resource of its kind for Type 2 diabetes research.
Takeaway
T2D-Db is like a big library that helps scientists find information about genes related to Type 2 diabetes, making it easier to study the disease.
Methodology
The database was developed by curating candidate gene data from literature and integrating various molecular datasets.
Limitations
The database may not include all candidate genes and is dependent on the available literature.
Digital Object Identifier (DOI)
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