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eCOMPAGT – efficient Combination and Management of Phenotypes and Genotypes for Genetic Epidemiology
BACKGROUND: High-throughput genotyping and phenotyping projects of large epidemiological study populations require sophisticated laboratory information management systems. Most epidemiological studies include subject-related personal information, which needs to be handled with care by following data...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2685123/ https://www.ncbi.nlm.nih.gov/pubmed/19432954 http://dx.doi.org/10.1186/1471-2105-10-139 |
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author | Schönherr, Sebastian Weißensteiner, Hansi Coassin, Stefan Specht, Günther Kronenberg, Florian Brandstätter, Anita |
author_facet | Schönherr, Sebastian Weißensteiner, Hansi Coassin, Stefan Specht, Günther Kronenberg, Florian Brandstätter, Anita |
author_sort | Schönherr, Sebastian |
collection | PubMed |
description | BACKGROUND: High-throughput genotyping and phenotyping projects of large epidemiological study populations require sophisticated laboratory information management systems. Most epidemiological studies include subject-related personal information, which needs to be handled with care by following data privacy protection guidelines. In addition, genotyping core facilities handling cooperative projects require a straightforward solution to monitor the status and financial resources of the different projects. DESCRIPTION: We developed a database system for an efficient combination and management of phenotypes and genotypes (eCOMPAGT) deriving from genetic epidemiological studies. eCOMPAGT securely stores and manages genotype and phenotype data and enables different user modes with different rights. Special attention was drawn on the import of data deriving from TaqMan and SNPlex genotyping assays. However, the database solution is adjustable to other genotyping systems by programming additional interfaces. Further important features are the scalability of the database and an export interface to statistical software. CONCLUSION: eCOMPAGT can store, administer and connect phenotype data with all kinds of genotype data and is available as a downloadable version at . |
format | Text |
id | pubmed-2685123 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-26851232009-05-22 eCOMPAGT – efficient Combination and Management of Phenotypes and Genotypes for Genetic Epidemiology Schönherr, Sebastian Weißensteiner, Hansi Coassin, Stefan Specht, Günther Kronenberg, Florian Brandstätter, Anita BMC Bioinformatics Database BACKGROUND: High-throughput genotyping and phenotyping projects of large epidemiological study populations require sophisticated laboratory information management systems. Most epidemiological studies include subject-related personal information, which needs to be handled with care by following data privacy protection guidelines. In addition, genotyping core facilities handling cooperative projects require a straightforward solution to monitor the status and financial resources of the different projects. DESCRIPTION: We developed a database system for an efficient combination and management of phenotypes and genotypes (eCOMPAGT) deriving from genetic epidemiological studies. eCOMPAGT securely stores and manages genotype and phenotype data and enables different user modes with different rights. Special attention was drawn on the import of data deriving from TaqMan and SNPlex genotyping assays. However, the database solution is adjustable to other genotyping systems by programming additional interfaces. Further important features are the scalability of the database and an export interface to statistical software. CONCLUSION: eCOMPAGT can store, administer and connect phenotype data with all kinds of genotype data and is available as a downloadable version at . BioMed Central 2009-05-11 /pmc/articles/PMC2685123/ /pubmed/19432954 http://dx.doi.org/10.1186/1471-2105-10-139 Text en Copyright © 2009 Schönherr 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 Schönherr, Sebastian Weißensteiner, Hansi Coassin, Stefan Specht, Günther Kronenberg, Florian Brandstätter, Anita eCOMPAGT – efficient Combination and Management of Phenotypes and Genotypes for Genetic Epidemiology |
title | eCOMPAGT – efficient Combination and Management of Phenotypes and Genotypes for Genetic Epidemiology |
title_full | eCOMPAGT – efficient Combination and Management of Phenotypes and Genotypes for Genetic Epidemiology |
title_fullStr | eCOMPAGT – efficient Combination and Management of Phenotypes and Genotypes for Genetic Epidemiology |
title_full_unstemmed | eCOMPAGT – efficient Combination and Management of Phenotypes and Genotypes for Genetic Epidemiology |
title_short | eCOMPAGT – efficient Combination and Management of Phenotypes and Genotypes for Genetic Epidemiology |
title_sort | ecompagt – efficient combination and management of phenotypes and genotypes for genetic epidemiology |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2685123/ https://www.ncbi.nlm.nih.gov/pubmed/19432954 http://dx.doi.org/10.1186/1471-2105-10-139 |
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