Informationsfusion biomedizinischer Daten und klinischer Fallberichte im Bereich angeborener Stoffwechselerkrankungen

Autor: Töpel, T, Amling, K

Publikováno v: 53. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (gmds); 20080915-20080919; Stuttgart; DOCMI7-1 /20080910/

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1175::e57851ef98c549f0f13f72d30996912b
http://www.egms.de/en/meetings/gmds2008/08gmds133.shtml

Medical case-based reasoning for detecting inborn metabolic defects

Autor: Töpel, T, Neumann, J, Hofestädt, R

Publikováno v: 51. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie; 20060910-20060914; Leipzig; DOC06gmds166 /20060901/

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1175::8c0bd16d39e013b0fcbd4e742fc15f51
http://www.egms.de/en/meetings/gmds2006/06gmds308.shtml

Reconstruction of biological networks based on life science data integration

Autor: Kormeier Benjamin, Hippe Klaus, Arrigo Patrizio, Töpel Thoralf, Janowski Sebastian, Hofestädt Ralf

Publikováno v: Journal of Integrative Bioinformatics, Vol 7, Iss 2, Pp 49-60 (2010)

For the implementation of the virtual cell, the fundamental question is how to model and simulate complex biological networks. Therefore, based on relevant molecular database and information systems, biological data integration is an essential step i

Externí odkaz: https://doaj.org/article/0fbfedcd8b0747f19981bb6830ce5368

BioDWH: A Data Warehouse Kit for Life Science Data Integration

Autor: Töpel Thoralf, Kormeier Benjamin, Klassen Andreas, Hofestädt Ralf

Publikováno v: Journal of Integrative Bioinformatics, Vol 5, Iss 2, Pp 49-57 (2008)

This paper presents a novel bioinformatics data warehouse software kit that integrates biological information from multiple public life science data sources into a local database management system. It stands out from other approaches by providing up-

Externí odkaz: https://doaj.org/article/fd8291589e794f738d87b75b2218a00f

Information system for the support of research, diagnosis and therapy of inborn metabolic diseases

Autor: Kauert R, Töpel T, Uwe Scholz, Hofestädt R

Publikováno v: Europe PubMed Central

We developed an information system for inborn metabolic diseases. The system consists of three parts. The first part is the MD-Cave for information on laboratory findings, genes, enzymes and metabolic pathways. The second part (ASDB) concerns with ac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::e124e633cfe935494b28ff232848460e
http://europepmc.org/abstract/med/11604762