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SNPchiMp v.3: integrating and standardizing single nucleotide polymorphism data for livestock species

BACKGROUND: In recent years, the use of genomic information in livestock species for genetic improvement, association studies and many other fields has become routine. In order to accommodate different market requirements in terms of genotyping cost, manufacturers of single nucleotide polymorphism (...

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Autores principales: Nicolazzi, Ezequiel L, Caprera, Andrea, Nazzicari, Nelson, Cozzi, Paolo, Strozzi, Francesco, Lawley, Cindy, Pirani, Ali, Soans, Chandrasen, Brew, Fiona, Jorjani, Hossein, Evans, Gary, Simpson, Barry, Tosser-Klopp, Gwenola, Brauning, Rudiger, Williams, John L, Stella, Alessandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4399246/
https://www.ncbi.nlm.nih.gov/pubmed/25881165
http://dx.doi.org/10.1186/s12864-015-1497-1
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author Nicolazzi, Ezequiel L
Caprera, Andrea
Nazzicari, Nelson
Cozzi, Paolo
Strozzi, Francesco
Lawley, Cindy
Pirani, Ali
Soans, Chandrasen
Brew, Fiona
Jorjani, Hossein
Evans, Gary
Simpson, Barry
Tosser-Klopp, Gwenola
Brauning, Rudiger
Williams, John L
Stella, Alessandra
author_facet Nicolazzi, Ezequiel L
Caprera, Andrea
Nazzicari, Nelson
Cozzi, Paolo
Strozzi, Francesco
Lawley, Cindy
Pirani, Ali
Soans, Chandrasen
Brew, Fiona
Jorjani, Hossein
Evans, Gary
Simpson, Barry
Tosser-Klopp, Gwenola
Brauning, Rudiger
Williams, John L
Stella, Alessandra
author_sort Nicolazzi, Ezequiel L
collection PubMed
description BACKGROUND: In recent years, the use of genomic information in livestock species for genetic improvement, association studies and many other fields has become routine. In order to accommodate different market requirements in terms of genotyping cost, manufacturers of single nucleotide polymorphism (SNP) arrays, private companies and international consortia have developed a large number of arrays with different content and different SNP density. The number of currently available SNP arrays differs among species: ranging from one for goats to more than ten for cattle, and the number of arrays available is increasing rapidly. However, there is limited or no effort to standardize and integrate array- specific (e.g. SNP IDs, allele coding) and species-specific (i.e. past and current assemblies) SNP information. RESULTS: Here we present SNPchiMp v.3, a solution to these issues for the six major livestock species (cow, pig, horse, sheep, goat and chicken). Original data was collected directly from SNP array producers and specific international genome consortia, and stored in a MySQL database. The database was then linked to an open-access web tool and to public databases. SNPchiMp v.3 ensures fast access to the database (retrieving within/across SNP array data) and the possibility of annotating SNP array data in a user-friendly fashion. CONCLUSIONS: This platform allows easy integration and standardization, and it is aimed at both industry and research. It also enables users to easily link the information available from the array producer with data in public databases, without the need of additional bioinformatics tools or pipelines. In recognition of the open-access use of Ensembl resources, SNPchiMp v.3 was officially credited as an Ensembl E!mpowered tool. Availability at http://bioinformatics.tecnoparco.org/SNPchimp.
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spelling pubmed-43992462015-04-17 SNPchiMp v.3: integrating and standardizing single nucleotide polymorphism data for livestock species Nicolazzi, Ezequiel L Caprera, Andrea Nazzicari, Nelson Cozzi, Paolo Strozzi, Francesco Lawley, Cindy Pirani, Ali Soans, Chandrasen Brew, Fiona Jorjani, Hossein Evans, Gary Simpson, Barry Tosser-Klopp, Gwenola Brauning, Rudiger Williams, John L Stella, Alessandra BMC Genomics Software BACKGROUND: In recent years, the use of genomic information in livestock species for genetic improvement, association studies and many other fields has become routine. In order to accommodate different market requirements in terms of genotyping cost, manufacturers of single nucleotide polymorphism (SNP) arrays, private companies and international consortia have developed a large number of arrays with different content and different SNP density. The number of currently available SNP arrays differs among species: ranging from one for goats to more than ten for cattle, and the number of arrays available is increasing rapidly. However, there is limited or no effort to standardize and integrate array- specific (e.g. SNP IDs, allele coding) and species-specific (i.e. past and current assemblies) SNP information. RESULTS: Here we present SNPchiMp v.3, a solution to these issues for the six major livestock species (cow, pig, horse, sheep, goat and chicken). Original data was collected directly from SNP array producers and specific international genome consortia, and stored in a MySQL database. The database was then linked to an open-access web tool and to public databases. SNPchiMp v.3 ensures fast access to the database (retrieving within/across SNP array data) and the possibility of annotating SNP array data in a user-friendly fashion. CONCLUSIONS: This platform allows easy integration and standardization, and it is aimed at both industry and research. It also enables users to easily link the information available from the array producer with data in public databases, without the need of additional bioinformatics tools or pipelines. In recognition of the open-access use of Ensembl resources, SNPchiMp v.3 was officially credited as an Ensembl E!mpowered tool. Availability at http://bioinformatics.tecnoparco.org/SNPchimp. BioMed Central 2015-04-10 /pmc/articles/PMC4399246/ /pubmed/25881165 http://dx.doi.org/10.1186/s12864-015-1497-1 Text en © Nicolazzi et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software
Nicolazzi, Ezequiel L
Caprera, Andrea
Nazzicari, Nelson
Cozzi, Paolo
Strozzi, Francesco
Lawley, Cindy
Pirani, Ali
Soans, Chandrasen
Brew, Fiona
Jorjani, Hossein
Evans, Gary
Simpson, Barry
Tosser-Klopp, Gwenola
Brauning, Rudiger
Williams, John L
Stella, Alessandra
SNPchiMp v.3: integrating and standardizing single nucleotide polymorphism data for livestock species
title SNPchiMp v.3: integrating and standardizing single nucleotide polymorphism data for livestock species
title_full SNPchiMp v.3: integrating and standardizing single nucleotide polymorphism data for livestock species
title_fullStr SNPchiMp v.3: integrating and standardizing single nucleotide polymorphism data for livestock species
title_full_unstemmed SNPchiMp v.3: integrating and standardizing single nucleotide polymorphism data for livestock species
title_short SNPchiMp v.3: integrating and standardizing single nucleotide polymorphism data for livestock species
title_sort snpchimp v.3: integrating and standardizing single nucleotide polymorphism data for livestock species
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4399246/
https://www.ncbi.nlm.nih.gov/pubmed/25881165
http://dx.doi.org/10.1186/s12864-015-1497-1
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