iHAP: Integrated Haplotype Analysis Pipeline
Author Information
Author(s): Song Chun Meng, Yeo Boon Huat, Tantoso Erwin, Yang Yuchen, Lim Yun Ping, Li Kuo-Bin, Rajagopal Gunaretnam
Primary Institution: Bioinformatics Institute
Hypothesis
Can genotype data from the International HapMap Project be effectively used to analyze haplotype structures in local populations?
Conclusion
The iHAP resource provides a convenient and flexible approach for analyzing HapMap data and identifying candidate targets for genotyping studies.
Supporting Evidence
- iHAP integrates data from the International HapMap Project and the UCSC Genome Browser Database.
- The tool allows for real-time analysis and graphical display of haplotype structures.
- Users can customize their analysis by selecting specific SNPs to include.
Takeaway
iHAP is a tool that helps scientists understand genetic variations by analyzing data from different populations, making it easier to find important genetic markers.
Methodology
The iHAP resource was developed as a web-based tool that integrates genotype and haplotype data from the International HapMap Project and the UCSC Genome Browser Database.
Digital Object Identifier (DOI)
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