Welcome to GenAge, a manually curated database of genes related to ageing. GenAge is divided into genes related to longevity and/or ageing in model organisms and ageing-related human genes. The section on human ageing-related genes includes the few genes directly related to ageing in humans and the best candidate genes obtained from model organisms. Human genes are thus considerably better annotated and may serve as a starting point for future studies, including genetic association studies, or even for exploiting clinical interventions in human ageing. A list of genes analyzed for their possible association with human longevity, DNA repair genes classified as ageing- or non-ageing-related, and genes commonly differentially expressed during mammalian ageing which were identified based on our ageing microarray meta-analysis, are also available. The schema of GenAge is available online as well as GenAge's statistics. Release notes for the current build are also available. ... [Information of the supplier]
GeneCards® is an integrated database of human genes that includes automatically-mined genomic, proteomic and transcriptomic information, as well as orthologies, disease relationships, SNPs, gene expression, gene function, and service links for ordering assays and antibodies. [Information of the supplier]
GWAS Central (previously the Human Genome Variation database of Genotype-to-Phenotype information) is a database of summary level findings from genetic association studies, both large and small. We actively gather datasets from public domain projects, and encourage direct data submission from the community. GWAS Central is built upon a basal layer of Markers that comprises all known SNPs and other variants from public databases such as dbSNP and the DBGV. Allele and genotype frequency data, plus genetic association significance findings, are added on top of the Marker data, and organised the same way that investigations are reported in typical journal manuscripts. Critically, no individual level genotypes or phenotypes are presented in GWAS Central – only group level aggregated (summary level) data. The largest unit in a data submission is a Study, which can be thought of as being equivalent to one journal article. This may contain one or more Experiments, one or more Sample Panels of test subjects, and one or more Phenotypes. Sample Panels may be characterised in terms of various Phenotypes, and they also may be combined and/or split into Assayed Panels. The Assayed Panels are used as the basis for reporting allele/genotype frequencies (in `Genotype Experiments`) and/or genetic association findings (in ‘Analysis Experiments’). Environmental factors are handled as part of the Sample Panel and Assayed Panel data structures. ... [Information of the supplier]
H-DBAS is a unique database of alternative splicing (AS) based on H-InvDB. The features of H-DBAS is as follows: 1) Representative AS variants (RASVs) were identified from 8 data sets consist of 6 mammalian model organisms (human, mouse, rat, chimpanzee, macaque and dog). The contents of data sets and the corresponding species are as follows: Full-length cDNA data set, mRNA data set, RNA data set 2) Equally-spliced variants (ESVs) were identified from RASVs between human and mouse, rat, chimpanzee, macaque and dog by using comparative genomics. Splice sites and splice motifs affecting SNPs can be observed in human. 3) RASVs affecting protein functions (protein motif, GO, subcellular localization signal and transmembrane domain) can be observed in human. 4) AS junctions expressed in specified cellular fractions (cytoplasm, nuclear and polysome) of human cell were detected by using RNA-Seq tags. The translation validation of the variants having AS junctions were analyzed by compared with RefSeq junctions. The results are shown from RNA-Seq analysis page. ... [Information of the supplier]
Based on the mapping of the human genome and the development of information databases, a broad description of genes transcribed in blood cells is now known. Hembase was developed to provide worldwide access to those genetic-based studies performed by scientists in the Molecular Biology and Genetics Section, Molecular Medicine Branch, Division of Intramural Research, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). This project represents the shared goal of several individuals and groups (credits) interested in disseminating genomic information on the World Wide Web. ... [Information of the supplier]
The HCV database group strives to present HCV-associated genetic and immunologic data in a userfriendly way, by providing access to the central database via web-accessible search interfaces and supplying a number of analysis tools. (...) The HCV search interface allows you to find and download sequences on the basis of a number of criteria. (...) You can either download all sequences (as nucleotides or amino acid sequences) that meet your criteria, or you can limit your set to a specific gene or region by selecting that genomic region on the search interface. (...) ... [Information of the supplier, modified]
The HCV database group strives to present HCV-associated genetic and immunologic data in a userfriendly way, by providing access to the central database via web-accessible search interfaces and supplying a number of analysis tools. (...) The HCV search interface allows you to find and download sequences on the basis of a number of criteria. (...) You can either download all sequences (as nucleotides or amino acid sequences) that meet your criteria, or you can limit your set to a specific gene or region by selecting that genomic region on the search interface. (...) ... [Information of the supplier, modified]
For each known human gene we approve a gene name and symbol (short-form abbreviation). All approved symbols are stored in the HGNC database. Each symbol is unique and we ensure that each gene is only given one approved gene symbol. It is necessary to provide a unique symbol for each gene so that we and others can talk about them, it also facilitates electronic data retrieval from publications. In preference each symbol maintains parallel construction in different members of a gene family and can also be used in other species, especially the mouse. ... [Information of the supplier]
The Human Metabolome Database (HMDB) is a freely available electronic database containing detailed information about small molecule metabolites found in the human body. It is intended to be used for applications in metabolomics, clinical chemistry, biomarker discovery and general education. The database is designed to contain or link three kinds of data: 1) chemical data, 2) clinical data, and 3) molecular biology/biochemistry data. The database currently contains nearly 2500 metabolite entries including both water-soluble and lipid soluble metabolites as well as metabolites that would be regarded as either abundant (> 1 uM) or relatively rare (< 1 nM). ... [Information of the supplier]
Influenza Virus Resource presents data obtained from the NIAID Influenza Genome Sequencing Project as well as from GenBank, combined with tools for flu sequence analysis and annotation. In addition, it provides links to other resources that contain flu sequences, publications and general information about flu viruses. [Information of the supplier]
