Gathers information that assist users to discover and validate biomarkers predicting the heterogeneous progression of Parkinson’s disease (PD). PPMI is an international multicenter that offers users to download all clinical, imaging and biomarker data collected online. This data allows researchers to work about therapeutic development concerning the PD.
Provides a locus-specific database. HbVar compiles information about genomic sequence changes leading to hemoglobin variants, hemoglobinopathies all types of thalassemia. The database gathers extensive phenotypic descriptions, biochemical and hematological effects, associated pathology and ethnic occurrence, accompanied by mutation frequencies and references. Besides, the tool was developed in interrelation with other databases, such as GALA, GenPhen and PhenCode.
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.
Facilitates genome-wide Autism spectrum disorder (ASD) gene discovery. ASD is an evidence-weighted machine learning approach that utilizes a brain-specific functional interaction network. This brain-specific network integrates thousands of genomics experiments to create a genome-wide probabilistic graph representing how genes function together in pathways in the brain, or, conceptually, a molecular-level functional map of the brain.
Provides several online databases and tools relevant to the biology of ageing. HAGR is a web portal that hosts high-quality curated gene-centric information relevant to human ageing. All data sets are linked to each other, and each gene entry contains direct links to all other relevant entries in HAGR’s datasets. The database aims to organize the increasing amount of these information and make them accessible to the research community.
A data-mining tool that includes 379 neuropathology data sets from hippocampus, as well as RNA-seq data measured in 15 well-matched cases in each of four groups: schizophrenia, bipolar disorder (BPD), major depression (MD) and unaffected controls. We analyzed the neuropathology data from the hippocampus to identify those abnormalities that are shared between psychiatric disorders and those that are specific to each disorder. The SNCID provides a unique opportunity to extensively profile thousands of neuropathology data sets from various brain regions that were measured in the same individuals with major psychiatric disorders.
Collects extensive phenotypic and genotypic detail about a very large, population-based prospective study. UK Biobank aims to encourage and provide as wide access as possible to its data and samples for health-related research in the public interest by all bona fide researchers from the academic, charity, public, and commercial sectors. The database aims to improve the prevention, diagnosis and treatment of a wide range of serious and life-threatening illnesses – including cancer, heart diseases, stroke, diabetes, arthritis, osteoporosis, eye disorders, depression and forms of dementia.
Supplies contents and method to study DNA sequences. Globin Gene Server informs about human hemoglobin mutations. It offers a list of experimental data and several types of software allowing comparison to find regions that are likely to play significant roles.
Gives access to a collection of hand curated breakpoints and other genomic features, related to autism, taken from publicly available literature (databases and unpublished data). Autism Chromosome Rearrangement Database is continuously updated with information from in-house experimental data as well as data from published research studies. This resource aims to integrate multiple data sets in order to understand the full etiologic role of structural variation in autism spectrum disorder (ASD).
Compiles computationally predicted functional information about Single Nucleotide Polymorphism (SNPs). F-SNP aims to simplify identification of disease-causing SNPs in association studies. The database is composed of four parts: (i) protein coding, (ii) splicing regulation, (iii)transcriptional regulation and (iv) post-translation. It includes the functional information for over 559 000 SNPs in 18 282 genes relevant to 85 major human diseases.
Provides information about phenotyping human single nucleotide polymorphisms (SNPs). SNPeffect is a database that allows users to search SNVs by filtering on molecular phenotypic effects, mutation type, disease, UniProt identifier, dbSNP identifier and gene name. Users can also analyze and plot phenotypic features of a specific subset (or all) of the SNPeffect database. It also includes a data submission framework for submitting (human or non-human) custom single protein variants for a detailed SNPeffect analysis including TANGO, WALTZ, LIMBO and FoldX.
Offers a non-redundant catalog of genes involved in the prostate. PGDB covers genes involved in a number of molecular and genetic events of the prostate including gene amplification, mutation, gross deletion, methylation, polymorphism, linkage and over-expression, as published in the literature. It also provides inclusive and highly relevant supporting evidence from published literature. Users can query the database using gene names, symbols, aliases and identification numbers such as LocusLink ID or UniGene ID.
An integrated web-based resource that catalogues the genomic and proteomic annotations identified in colorectal cancer (CRC) tissues and cell lines. The data catalogued to-date include sequence variations as well as quantitative and non-quantitative protein expression data. The database enables the analysis of these data in the context of signaling pathways, protein–protein interactions, Gene Ontology terms, protein domains and post-translational modifications. Currently, Colorectal Cancer Atlas contains data for >13 711 CRC tissues, >165 CRC cell lines, 62 251 protein identifications, >8.3 million MS/MS spectra, >18 410 genes with sequence variations (404 278 entries) and 351 pathways with sequence variants. Overall, Colorectal Cancer Atlas has been designed to serve as a central resource to facilitate research in CRC.
Integrates molecular, physiological, psychological and pathological age-related data to create an interactive portal that serves as a centralised collection of human ageing changes and pathologies. The Digital Ageing Atlas (DAA) is a portal of age-related changes covering different biological levels. This database provides a centralised source for ageing-related data as well as basic tools to query and visualize the data, including anatomical models. It focuses on human ageing, but also includes supplementary mouse data, in particular gene expression data, to enhance and expand the information on human ageing.
Facilitates the assigning of statistically deviant mutation frequencies based on our previously published model. SelTarbase is a comprehensive curated mutation data collection of human microsatellite instability (MSI)-H tumor and colorectal cell line data. This online resource opens a broad variety of possibilities to researchers committed in the field of MSI tumorigenesis, diagnostics and therapy.
Provides for the first time detailed information on genes and associated genetic variants involved in digenic diseases, the simplest form of oligogenic inheritance. DIDA currently includes 213 digenic combinations involved in 44 different digenic diseases. These combinations are composed of 364 distinct variants, which are distributed over 136 distinct genes. The web interface provides browsing and search functionalities, as well as documentation and help pages, general database statistics and references to the original publications from which the data have been collected. The possibility to submit novel digenic data to DIDA is also provided.
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 comprehensive knowledgebase of autism-related genes, CNVs and linkage regions with extensive evidence and annotations. AutismKB supports both text-based search and sequence-based search. Users can find a quick search box on the top right of each page to search by gene symbol. Advanced search was provided to search genes, CNVs, linkage regions by gene name, gene symbol, NCBI Entrez id, Ensemble id, GO terms, UniProt ID, location, score, method and PubMed ID. Finally, a BLAST search against the nucleotide or protein sequences of all AutismKB genes is also available.
Collects coronary artery disease (CAD) candidate genes and their detailed evidence associated with CAD from publications. CADgene is a comprehensive database that provides three approaches for searching the data, including the text search and sequence search. For each candidate gene, CADgene displays its involved KEGG pathways and all the CAD-related genes in these pathways. The database aims to provide a complete and up-to-date gene resource to the research community.