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SNP-RFLPing: restriction enzyme mining for SNPs in genomes
Hsueh-Wei Chang1, Cheng-Hong Yang, Phei-Lang Chang
1Faculty of Biomedical Science and Environmental Biology, Kaohsiung Medical University, Taiwan. changhw@kmu.edu.tw
BMC Genomics
|March 1, 2006
Summary
SNP-RFLPing is a new web tool that simplifies finding restriction enzymes for restriction fragment length polymorphism (RFLP) assays. This software aids in genotyping single nucleotide polymorphisms (SNPs) for personalized medicine association studies.
Area of Science:
- Genomics
- Bioinformatics
- Molecular Biology
Background:
- Restriction Fragment Length Polymorphism (RFLP) is a standard method for genotyping Single Nucleotide Polymorphisms (SNPs).
- Existing software often presents challenges with input data formats for RFLP analysis.
Purpose of the Study:
- To introduce SNP-RFLPing, a user-friendly, web-based software designed to identify restriction enzymes for RFLP assays.
- To streamline the process of RFLP analysis for a large number of SNPs and genes.
Main Methods:
- The software accepts multiple input formats, including NCBI dbSNP IDs, Entrez gene IDs/HUGO gene names, and SNP sequences.
- It automatically processes input data to identify SNP-containing sequences and their complements for restriction enzyme selection.
- The system analyzes SNPs across human, rat, and mouse genomes.
Main Results:
- SNP-RFLPing provides suitable restriction enzymes for RFLP assays on multiple SNPs within input genes.
- The analysis includes SNP position, heterozygosity, functional impact (for cSNPs), and identifies available commercial and non-commercial restriction enzymes.
- The software successfully handles diverse input data formats, overcoming limitations of previous tools.
Conclusions:
- SNP-RFLPing simplifies RFLP enzyme identification and data input, saving time for researchers.
- This tool is valuable for association studies in personalized medicine.
- The software is freely accessible online.