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Snap: an integrated SNP annotation platform
Snap (Single Nucleotide Polymorphism Annotation Platform) is a server designed to comprehensively analyze single genes and relationships between genes basing on SNPs in the human genome. The aim of the platform is to facilitate the study of SNP finding and analysis within the framework of medical re...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1751554/ https://www.ncbi.nlm.nih.gov/pubmed/17135198 http://dx.doi.org/10.1093/nar/gkl969 |
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author | Li, Shengting Ma, Lijia Li, Heng Vang, Søren Hu, Yafeng Bolund, Lars Wang, Jun |
author_facet | Li, Shengting Ma, Lijia Li, Heng Vang, Søren Hu, Yafeng Bolund, Lars Wang, Jun |
author_sort | Li, Shengting |
collection | PubMed |
description | Snap (Single Nucleotide Polymorphism Annotation Platform) is a server designed to comprehensively analyze single genes and relationships between genes basing on SNPs in the human genome. The aim of the platform is to facilitate the study of SNP finding and analysis within the framework of medical research. Using a user-friendly web interface, genes can be searched by name, description, position, SNP ID or clone name. Several public databases are integrated, including gene information from Ensembl, protein features from Uniprot/SWISS-PROT, Pfam and DAS-CBS. Gene relationships are fetched from BIND, MINT, KEGG and are integrated with ortholog data from TreeFam to extend the current interaction networks. Integrated tools for primer-design and mis-splicing analysis have been developed to facilitate experimental analysis of individual genes with focus on their variation. Snap is available at and at . |
format | Text |
id | pubmed-1751554 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-17515542007-02-22 Snap: an integrated SNP annotation platform Li, Shengting Ma, Lijia Li, Heng Vang, Søren Hu, Yafeng Bolund, Lars Wang, Jun Nucleic Acids Res Articles Snap (Single Nucleotide Polymorphism Annotation Platform) is a server designed to comprehensively analyze single genes and relationships between genes basing on SNPs in the human genome. The aim of the platform is to facilitate the study of SNP finding and analysis within the framework of medical research. Using a user-friendly web interface, genes can be searched by name, description, position, SNP ID or clone name. Several public databases are integrated, including gene information from Ensembl, protein features from Uniprot/SWISS-PROT, Pfam and DAS-CBS. Gene relationships are fetched from BIND, MINT, KEGG and are integrated with ortholog data from TreeFam to extend the current interaction networks. Integrated tools for primer-design and mis-splicing analysis have been developed to facilitate experimental analysis of individual genes with focus on their variation. Snap is available at and at . Oxford University Press 2007-01 2006-11-29 /pmc/articles/PMC1751554/ /pubmed/17135198 http://dx.doi.org/10.1093/nar/gkl969 Text en © 2006 The Author(s) This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Li, Shengting Ma, Lijia Li, Heng Vang, Søren Hu, Yafeng Bolund, Lars Wang, Jun Snap: an integrated SNP annotation platform |
title | Snap: an integrated SNP annotation platform |
title_full | Snap: an integrated SNP annotation platform |
title_fullStr | Snap: an integrated SNP annotation platform |
title_full_unstemmed | Snap: an integrated SNP annotation platform |
title_short | Snap: an integrated SNP annotation platform |
title_sort | snap: an integrated snp annotation platform |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1751554/ https://www.ncbi.nlm.nih.gov/pubmed/17135198 http://dx.doi.org/10.1093/nar/gkl969 |
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