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V-MitoSNP: visualization of human mitochondrial SNPs
BACKGROUND: Mitochondrial single nucleotide polymorphisms (mtSNPs) constitute important data when trying to shed some light on human diseases and cancers. Unfortunately, providing relevant mtSNP genotyping information in mtDNA databases in a neatly organized and transparent visual manner still remai...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1564046/ https://www.ncbi.nlm.nih.gov/pubmed/16907992 http://dx.doi.org/10.1186/1471-2105-7-379 |
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author | Chuang, Li-Yeh Yang, Cheng-Hong Cheng, Yu-Huei Gu, De-Leung Chang, Phei-Lang Tsui, Ke-Hung Chang, Hsueh-Wei |
author_facet | Chuang, Li-Yeh Yang, Cheng-Hong Cheng, Yu-Huei Gu, De-Leung Chang, Phei-Lang Tsui, Ke-Hung Chang, Hsueh-Wei |
author_sort | Chuang, Li-Yeh |
collection | PubMed |
description | BACKGROUND: Mitochondrial single nucleotide polymorphisms (mtSNPs) constitute important data when trying to shed some light on human diseases and cancers. Unfortunately, providing relevant mtSNP genotyping information in mtDNA databases in a neatly organized and transparent visual manner still remains a challenge. Amongst the many methods reported for SNP genotyping, determining the restriction fragment length polymorphisms (RFLPs) is still one of the most convenient and cost-saving methods. In this study, we prepared the visualization of the mtDNA genome in a way, which integrates the RFLP genotyping information with mitochondria related cancers and diseases in a user-friendly, intuitive and interactive manner. The inherent problem associated with mtDNA sequences in BLAST of the NCBI database was also solved. DESCRIPTION: V-MitoSNP provides complete mtSNP information for four different kinds of inputs: (1) color-coded visual input by selecting genes of interest on the genome graph, (2) keyword search by locus, disease and mtSNP rs# ID, (3) visualized input of nucleotide range by clicking the selected region of the mtDNA sequence, and (4) sequences mtBLAST. The V-MitoSNP output provides 500 bp (base pairs) flanking sequences for each SNP coupled with the RFLP enzyme and the corresponding natural or mismatched primer sets. The output format enables users to see the SNP genotype pattern of the RFLP by virtual electrophoresis of each mtSNP. The rate of successful design of enzymes and primers for RFLPs in all mtSNPs was 99.1%. The RFLP information was validated by actual agarose electrophoresis and showed successful results for all mtSNPs tested. The mtBLAST function in V-MitoSNP provides the gene information within the input sequence rather than providing the complete mitochondrial chromosome as in the NCBI BLAST database. All mtSNPs with rs number entries in NCBI are integrated in the corresponding SNP in V-MitoSNP. CONCLUSION: V-MitoSNP is a web-based software platform that provides a user-friendly and interactive interface for mtSNP information, especially with regard to RFLP genotyping. Visual input and output coupled with integrated mtSNP information from MITOMAP and NCBI make V-MitoSNP an ideal and complete visualization interface for human mtSNPs association studies. |
format | Text |
id | pubmed-1564046 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-15640462006-09-12 V-MitoSNP: visualization of human mitochondrial SNPs Chuang, Li-Yeh Yang, Cheng-Hong Cheng, Yu-Huei Gu, De-Leung Chang, Phei-Lang Tsui, Ke-Hung Chang, Hsueh-Wei BMC Bioinformatics Database BACKGROUND: Mitochondrial single nucleotide polymorphisms (mtSNPs) constitute important data when trying to shed some light on human diseases and cancers. Unfortunately, providing relevant mtSNP genotyping information in mtDNA databases in a neatly organized and transparent visual manner still remains a challenge. Amongst the many methods reported for SNP genotyping, determining the restriction fragment length polymorphisms (RFLPs) is still one of the most convenient and cost-saving methods. In this study, we prepared the visualization of the mtDNA genome in a way, which integrates the RFLP genotyping information with mitochondria related cancers and diseases in a user-friendly, intuitive and interactive manner. The inherent problem associated with mtDNA sequences in BLAST of the NCBI database was also solved. DESCRIPTION: V-MitoSNP provides complete mtSNP information for four different kinds of inputs: (1) color-coded visual input by selecting genes of interest on the genome graph, (2) keyword search by locus, disease and mtSNP rs# ID, (3) visualized input of nucleotide range by clicking the selected region of the mtDNA sequence, and (4) sequences mtBLAST. The V-MitoSNP output provides 500 bp (base pairs) flanking sequences for each SNP coupled with the RFLP enzyme and the corresponding natural or mismatched primer sets. The output format enables users to see the SNP genotype pattern of the RFLP by virtual electrophoresis of each mtSNP. The rate of successful design of enzymes and primers for RFLPs in all mtSNPs was 99.1%. The RFLP information was validated by actual agarose electrophoresis and showed successful results for all mtSNPs tested. The mtBLAST function in V-MitoSNP provides the gene information within the input sequence rather than providing the complete mitochondrial chromosome as in the NCBI BLAST database. All mtSNPs with rs number entries in NCBI are integrated in the corresponding SNP in V-MitoSNP. CONCLUSION: V-MitoSNP is a web-based software platform that provides a user-friendly and interactive interface for mtSNP information, especially with regard to RFLP genotyping. Visual input and output coupled with integrated mtSNP information from MITOMAP and NCBI make V-MitoSNP an ideal and complete visualization interface for human mtSNPs association studies. BioMed Central 2006-08-15 /pmc/articles/PMC1564046/ /pubmed/16907992 http://dx.doi.org/10.1186/1471-2105-7-379 Text en Copyright © 2006 Chuang et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Chuang, Li-Yeh Yang, Cheng-Hong Cheng, Yu-Huei Gu, De-Leung Chang, Phei-Lang Tsui, Ke-Hung Chang, Hsueh-Wei V-MitoSNP: visualization of human mitochondrial SNPs |
title | V-MitoSNP: visualization of human mitochondrial SNPs |
title_full | V-MitoSNP: visualization of human mitochondrial SNPs |
title_fullStr | V-MitoSNP: visualization of human mitochondrial SNPs |
title_full_unstemmed | V-MitoSNP: visualization of human mitochondrial SNPs |
title_short | V-MitoSNP: visualization of human mitochondrial SNPs |
title_sort | v-mitosnp: visualization of human mitochondrial snps |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1564046/ https://www.ncbi.nlm.nih.gov/pubmed/16907992 http://dx.doi.org/10.1186/1471-2105-7-379 |
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