International Classification of Diseases Version 10
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The DistiLD database aims to increase the usage of existing genome-wide association studies (GWAS) results by making it easy to query and visualize disease-associated SNPs and genes in their chromosomal context.
Orphanet is a database of information on rare diseases and orphan drugs for all publics. Its aim is to contribute to the improvement of the diagnosis, care and treatment of patients with rare diseases.
Progenetix - genomic copy number aberrations in cancer
The Progenetix database provides an overview of copy number abnormalities in human cancer from Comparative Genomic Hybridization (CGH) experiments. With 30817 cases from 1016 publications (Oct 2013), Progenetix is the largest curated database for whole genome CGH profiles. The current dataset contains 20621 chromosomal CGH and 10302 profiles from genomic array experiments. This data covers 365 diagnostic entities according to the International Classification of Disease in Oncology (ICD-O 3). Additionally, the website attempts to lists all publications referring to cancer genome profiling experiments.
The arrayMap database and bioinformatics resource facilitates the study of the genetics of human cancer. The Progenetix project provides the data customisation and visualization tools to mine the available data. The arrayMap database is developed by the group "Theoretical Cytogenetics and Oncogenomics" at the Institute of Molecular Life Sciences of the University of Zurich.
European Union Drug Regulating Authorities Clinical Trials
EudraCT (European Union Drug Regulating Authorities Clinical Trials) is the European Clinical Trials Database of all interventional clinical trials of medicinal products commencing in the European Union from 1 May 2004 onwards. The EudraCT database has been established in accordance with Directive 2001/20/EC.
The MalaCards human disease database (http://www. malacards.org/) is an integrated compendium of annotated diseases mined from 68 data sources. MalaCards has a web card for each of ∼20 000 disease entries, in six global categories. It portrays a broad array of annotation topics in 15 sections, including Summaries, Symptoms, Anatomical Context, Drugs, Genetic Tests, Variations and Publications. The Aliases and Classifications section reflects an algorithm for disease name integration across often-conflicting sources, providing effective annotation consolidation. A central feature is a balanced Genes section, with scores reflecting the strength of disease-gene associations. This is accompanied by other gene-related disease information such as pathways, mouse phenotypes and GO-terms, stemming from MalaCards’ affiliation with the GeneCards Suite of databases. MalaCards’ capacity to inter-link information from complementary sources, along with its elaborate search function, relational database infrastructure and convenient data dumps, allows it to tackle its rich disease annotation landscape, and facilitates systems analyses and genome sequence interpretation. MalaCards adopts a ‘flat’ disease-card approach, but each card is mapped to popular hierarchical ontologies (e.g. International Classification of Diseases, Human Phenotype Ontology and Unified Medical Language System) and also contains information about multi-level relations among diseases, thereby providing an optimal tool for disease representation and scrutiny.
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