eCOMPAGT – efficient Combination and Management of Phenotypes and Genotypes for Genetic Epidemiology
<p>Abstract</p> <p>Background</p> <p>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...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2009-05-01
|
| Series: | BMC Bioinformatics |
| Online Access: | http://www.biomedcentral.com/1471-2105/10/139 |
| _version_ | 1818641383145078784 |
|---|---|
| author | Specht Günther Coassin Stefan Weißensteiner Hansi Schönherr Sebastian Kronenberg Florian Brandstätter Anita |
| author_facet | Specht Günther Coassin Stefan Weißensteiner Hansi Schönherr Sebastian Kronenberg Florian Brandstätter Anita |
| author_sort | Specht Günther |
| collection | DOAJ |
| description | <p>Abstract</p> <p>Background</p> <p>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.</p> <p>Description</p> <p>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.</p> <p>Conclusion</p> <p>eCOMPAGT can store, administer and connect phenotype data with all kinds of genotype data and is available as a downloadable version at <url>http://dbis-informatik.uibk.ac.at/ecompagt</url>.</p> |
| first_indexed | 2024-12-16T23:26:17Z |
| format | Article |
| id | doaj.art-bf2179b3344d44a59b2c6a51389f4cc4 |
| institution | Directory Open Access Journal |
| issn | 1471-2105 |
| language | English |
| last_indexed | 2024-12-16T23:26:17Z |
| publishDate | 2009-05-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Bioinformatics |
| spelling | doaj.art-bf2179b3344d44a59b2c6a51389f4cc42022-12-21T22:12:00ZengBMCBMC Bioinformatics1471-21052009-05-0110113910.1186/1471-2105-10-139eCOMPAGT – efficient Combination and Management of Phenotypes and Genotypes for Genetic EpidemiologySpecht GüntherCoassin StefanWeißensteiner HansiSchönherr SebastianKronenberg FlorianBrandstätter Anita<p>Abstract</p> <p>Background</p> <p>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.</p> <p>Description</p> <p>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.</p> <p>Conclusion</p> <p>eCOMPAGT can store, administer and connect phenotype data with all kinds of genotype data and is available as a downloadable version at <url>http://dbis-informatik.uibk.ac.at/ecompagt</url>.</p>http://www.biomedcentral.com/1471-2105/10/139 |
| spellingShingle | Specht Günther Coassin Stefan Weißensteiner Hansi Schönherr Sebastian Kronenberg Florian Brandstätter Anita eCOMPAGT – efficient Combination and Management of Phenotypes and Genotypes for Genetic Epidemiology BMC Bioinformatics |
| 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 |
| url | http://www.biomedcentral.com/1471-2105/10/139 |
| work_keys_str_mv | AT spechtgunther ecompagtefficientcombinationandmanagementofphenotypesandgenotypesforgeneticepidemiology AT coassinstefan ecompagtefficientcombinationandmanagementofphenotypesandgenotypesforgeneticepidemiology AT weißensteinerhansi ecompagtefficientcombinationandmanagementofphenotypesandgenotypesforgeneticepidemiology AT schonherrsebastian ecompagtefficientcombinationandmanagementofphenotypesandgenotypesforgeneticepidemiology AT kronenbergflorian ecompagtefficientcombinationandmanagementofphenotypesandgenotypesforgeneticepidemiology AT brandstatteranita ecompagtefficientcombinationandmanagementofphenotypesandgenotypesforgeneticepidemiology |