Please use this identifier to cite or link to this item: https://doi.org/10.1186/1471-2164-12-S3-S9
Title: UASIS: Universal automatic snp identification system
Authors: Poo, D.C.C. 
Cai, S.
Mah, J.T.L.
Issue Date: 2011
Source: Poo, D.C.C., Cai, S., Mah, J.T.L. (2011). UASIS: Universal automatic snp identification system. 10th Int. Conference on Bioinformatics - 1st ISCB Asia Joint Conference 2011, InCoB 2011/ISCB-Asia 2011: Computational Biology - Proceedings from Asia Pacific Bioinformatics Network (APBioNet) 12 (SUPPL. 3). ScholarBank@NUS Repository. https://doi.org/10.1186/1471-2164-12-S3-S9
Abstract: Background: SNP (Single Nucleotide Polymorphism), the most common genetic variations between human beings, is believed to be a promising way towards personalized medicine. As more and more research on SNPs are being conducted, non-standard nomenclatures may generate potential problems. The most serious issue is that researchers cannot perform cross referencing among different SNP databases. This will result in more resources and time required to track SNPs. It could be detrimental to the entire academic community. Results: UASIS (Universal Automated SNP Identification System) is a web-based server for SNP nomenclature standardization and translation at DNA level. Three utilities are available. They are UASIS Aligner, Universal SNP Name Generator and SNP Name Mapper. UASIS maps SNPs from different databases, including dbSNP, GWAS, HapMap and JSNP etc., into an uniform view efficiently using a proposed universal nomenclature and state-of-art alignment algorithms. UASIS is freely available at http://www.uasis.tk with no requirement of log-in. Conclusions: UASIS is a helpful platform for SNP cross referencing and tracking. By providing an informative, unique and unambiguous nomenclature, which utilizes unique position of a SNP, we aim to resolve the ambiguity of SNP nomenclatures currently practised. Our universal nomenclature is a good complement to mainstream SNP notations such as rs# and HGVS guidelines. UASIS acts as a bridge to connect heterogeneous representations of SNPs. © 2011 licensee BioMed Central Ltd.
Source Title: 10th Int. Conference on Bioinformatics - 1st ISCB Asia Joint Conference 2011, InCoB 2011/ISCB-Asia 2011: Computational Biology - Proceedings from Asia Pacific Bioinformatics Network (APBioNet)
URI: http://scholarbank.nus.edu.sg/handle/10635/42828
DOI: 10.1186/1471-2164-12-S3-S9
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