Assists with large-scale data-mining related to gene function in Caenorhabditis elegans. GExplore contains information about the domain organization of the proteomes of 9 nematode species, can display the location of Caenorhabditis elegans mutations with respect to the domain organization of the proteins, and includes stage-specific RNAseq gene expression data generated by the modENCODE project. The database has been organized to facilitate independent updates of the different parts of the database and to allow the addition of novel data sets in the future.
Supplies data concerning molecular biology. LinkDB is a collection of database links. It contains the original links provided by each database and the indirect and reverse links that are computed. This database works jointly to DBGET.
Allows exploration of biological databases utilizing semantic web methods. BioCarian is a search engine that browses several selected public databases. The databases consist in a sample collection of DNA-level data (dbSNP, GWAS, Ensembl), protein data (UniProt), pathway data (KEGG, Reactome), disease data (OMIM, DisGeNET) and a private database containing viral integration sites in the liver cancer patients. BioCarian can be used to do a primary analysis of data and act as means of an independent, orthogonal verification of an analysis result.
Consists of a repository and search engine for bioinformatics datasets. Datasets2Tools is an online repository that indexes, precisely, over 31000 canned bioinformatics analyses applied to about 6000 datasets. It allows users to find datasets, tools, and canned analyses digital objects. This resource is available through an online interface or as a Google Chrome browser extension and an application programming interface (API).
Mines hundreds of millions of pages of complex, dense and unstructured life-sciences papers, and then uses Natural Language Processing and Machine Learning to clean, tag and structure the data. Bioz's platform incorporates semantic analysis engine and relevancy ranking of results, research-relevant correlations, reagent product ratings, and researcher collaboration optimization. By using this database, scientists are able to reduce the cost of reagents and equipment, shorten the amount of time required for successful experimentation, and most importantly, improve the quality of their research.
Offers the capability to integrate, aggregate, analyze and visualize biomedical data from a wide variety of structured and unstructured information repositories. Bio-In combines its extensive capabilities as a life science R&D informatics services provider. The platform allows data normalization and linking, customizable workflows, integrated data browser, flexible and scalable approach, and domain and technology expertise.
Helps researchers to find data of interest in a broad spectrum of high quality repositories. DataMed is designed to be, for data, what PubMed has been for the scientific literature. DataMed stores metadata generic enough to describe any dataset using a model called Data Tag Suite. DataMed is intended to point to data of interest by indicating the repository in which it is found, and providing some minimal information about the data so users can elect to follow the links to those repositories or move on to the next entry.