Provides experimentally determined kinetic data of protein–protein, protein-RNA, protein-DNA, protein-ligand, RNA-ligand, DNA-ligand binding or reaction events described in the literature. KDBI contains information about binding or reaction event, participating molecules (name, synonyms, molecular formula, classification, SWISS-PROT AC or CAS number), binding or reaction equation, kinetic data and related references.
Provides a collection of definitions for the higher-level attributes. Genome Properties ascribes higher-level attributes to a species when a sufficient set of molecular markers are detected in its genome, or else reported jointly absent. It can help to summarize high-level traits of species biology from genome analysis. The method permits to understand metabolic context while trying to understand the roles of other proteins from the same species.
An information network launched to serve the needs of basic and clinical investigators in metabolic, digestive and kidney disease by facilitating access to research resources, as data, software tools, materials, services, projects and organizations. dkNET functions as a “search engine for data”, searching across millions of database records contained in hundreds of biomedical databases developed and maintained by independent projects around the world. dkNET provides an ideal environment for illustrating some of the opportunities and challenges associated with organizing and searching the new types of digital research objects, including dynamic databases, produced in support of biomedical research.
Allows multiple queries in ExAC and gnomAD databases and processing of the results. EXtrACtor is an application that enables users either to upload a list of gene-names, locations or transcripts, or to enter them manually when querying a single or a limited number of terms. It then queries the ExAC or gnomAD website for the data which would normally be returned in the browser, such as variation data or coverage information.
Allows researchers to extract phenotypic information from the PhenoCHF corpus. PhenoCHF-corpus is annotated with several types of phenotypic information related with integrating heterogeneous resources, congestive heart failure, electronic health records (EHR) and scientific literature. These annotations are limited to a single disease. This corpus aims to identify phenotypic information in unstructured texts via the development of machine learning-based techniques.
Contains data on the frequency of inherited human disorders. FIDD is useful in a clinical context, in medical research, for epidemiological studies, and for the planning of genetic services. It can be queried by the body system mainly affected by the disorder, the name of the disease or condition, its Online Mendelian Inheritance in Man (OMIM) number or the population surveyed. The database covers information of over 200 conditions.
Gathers species traits from several species. Traitpedia is a collaborative repository that contains trait information for about 180 eukaryotic species, with 15 traits per species, distributed in four categories: (1) general, (2) individual (phenotypical), (3) intraspecific (behavioral), and (4) Interspecific. Users can deposit simply formatted trait information. This database can assist in the mining of information and the extraction of trait correlations.