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]
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]
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]
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]
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]
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]
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 Genetic Association Database is an archive of human genetic association studies of complex diseases and disorders. The goal of this database is to allow the user to rapidly identify medically relevant polymorphism from the large volume of polymorphism and mutational data, in the context of standardized nomenclature. ... [Information of the supplier]
T1DBase is a public website and database that supports the type 1 diabetes (T1D) research community. It is being created by a joint effort between the Institute for Systems Biology, Juvenile Diabetes Research Foundation/Wellcome Trust Diabetes and Inflammation Laboratory and the Juvenile Diabetes Research Foundation International. T1DBase collects information from public sources and from collaborating laboatories, integrates this information, and presents it in a form that is useful for T1D researchers. The current data scope includes annotated genomic sequences for suspected T1D susceptibility regions; microarray data; functional annotation of genes active in beta cells; and "global"datasets, generally from the literature, that are useful for systems biology studies. ... [Information of the supplier, modified]
In September, 2001, the National Institute of Diabetes, Digestive, and Kidney Diseases (NIDDK) convened a working group of its National Advisory Council to develop a strategic plan for Stem Cells and Developmental Biology. The working group made several recommendations, with the overall goals of providing new strategies for repairing or replacing damaged organs and generating new insights into pathologic processes underlying developmental defects and disease. There is the need for a more thorough understanding of organogenesis so that tissue degeneration and congenital malformations might be prevented and treated. The goal of GUDMAP is a fundamental description of the developing kidney and GU tract. The panel recommended that the following three objectives be combined to form the GUDMAP. a) High throughput in situ hybridization analyses to define the expression pattern of genes expressed in the developing kidney and GU tract, b) High resolution gene expression analyses to define gene expression during developmental time, the overlap in gene expression patterns, and the correlation between boundaries of gene expression and boundaries of anatomic or functional domains and c) Development of a database to house and annotate the above data and to provide rapid access of this data to the entire research community. Microarray analyses and the generation of murine strains with genetic markers are also goals of GUDMAP which serve to bolster the overall aim of defining molecular and cellular anatomy through developmental time. ... [Information of the supplier, modified]
