Provides biomedical researchers with access to information about known tumor genes. TGDBs gathers data about target-genes for cancer-causing mutations, proto-oncogenes and tumor suppressor genes. The database includes (1) the Tumor Gene Database, (2) the Breast Cancer Gene Database, and (3) the Oral Cancer Gene Database.
A manually curated database collecting the relations between candidate genes in OCD, microRNAs (miRNAs) involved in the pathophysiology of OCD and drugs used in its treatments. For each gene, the bibliographic references with a brief description of the gene and the experimental conditions are shown. The database also lists the polymorphisms within genes and its chromosomal regions. OCDB data is enriched with both validated and predicted miRNA-target and drug-target information. The transcription factors regulations, which are also included, are taken from David and TransmiR. Moreover, a scoring function ranks the relevance of data in the OCDB context. The database is also integrated with the main online resources (PubMed, Entrez-gene, HGNC, dbSNP, DrugBank, miRBase, PubChem, Kegg, Disease-ontology and ChEBI). The web interface has been developed using phpMyAdmin and Bootstrap software. This allows (i) to browse data by category and (ii) to navigate in the database by searching genes, miRNAs, drugs, SNPs, regions, drug targets and articles. The data can be exported in textual format as well as the whole database in.sql or tabular format.
With the objective of collecting all the published and unpublished cases of congenital erythrocytosis the COST action MPN&MPNr-Euronet developed a comprehensive Internet-based database focusing on the registration of clinical history, hematological, biochemical, and molecular data. In addition, unreported mutations are also curated in the corresponding Leiden Open Variation Database.
Enables the study of the impact of genetic variations related to autism spectrum disorders (ASD). AutDB is a publicly available, manually curated, online resource for genes associated with ASD. The database consists of four interconnected modules: (i) Human Gene; (ii) CNV; (iii) Animal Model; and (iv) Protein Interaction (PIN). Datasets are built following established guidelines for the curation process.
Serves as a robust and regularly updated resource of assembled preeclampsia phenotypes and associated genes. We designed the user interface of dbPEC for easy navigation and the results pages are visually supported by color coded labels and charts. We included gene sets associated with severity, concurrent conditions, tissue sources and networks. The published scientific literature is the primary repository for all information documenting human disease. We used semantic data mining to retrieve and extract the articles pertaining to preeclampsia-associated genes and performed manual curation. We deposited the articles, genes, preeclampsia phenotypes and other supporting information into the dbPEC. It is publicly available and freely accessible.
Provides a curated and integrated set of datasets and tools, across multiple diseases, to support and promote research in this area. ImmunoBase is a web based resource focused on the genetics and genomics of immunologically related human diseases. The current focus of the site is to integrate and curate summary case/control association statistics from the consortium of 12 diseases originally targeted by the ImmunoChip consortium.