SNP@Promoter: a database of human SNPs (Single Nucleotide Polymorphisms) within the putative promoter regions
2008
SNP@Promoter: A Database of Human SNPs in Promoter Regions
Sample size: 488452
publication
Evidence: high
Author Information
Author(s): Kim Byoung-Chul, Kim Woo-Yeon, Park Daeui, Chung Won-Hyong, Shin Kwang-sik, Bhak Jong
Primary Institution: Korean BioInformation Center (KOBIC), KRIBB, Daejeon, Korea
Hypothesis
The study aims to create a database that identifies functional SNPs in putative promoter regions and predicted transcription factor binding sites.
Conclusion
The SNP@Promoter database helps researchers identify functional SNPs in non-coding regions.
Supporting Evidence
- The database contains 488,452 human SNPs in putative promoter regions.
- It predicts transcription factor binding sites for 47,832 SNPs.
- Users can search the database using SNP identifiers, gene names, or disease terms.
Takeaway
The SNP@Promoter database is like a big library that helps scientists find tiny changes in our DNA that might affect how genes work.
Methodology
The study developed a computational system to identify SNPs in non-coding regulatory regions and predicted transcription factor binding sites.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website