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Open source database system and analysis tools for molecular interaction data. All interactions are derived from literature curation or direct user submissions. Direct user submissions of molecular interaction data are encouraged, which may be deposited prior to publication in a peer-reviewed journal. The IntAct Database contains (Jun. 2014): * 447368 Interactions * 33021 experiments * 12698 publications * 82745 Interactors IntAct provides a two-tiered view of the interaction data. The search interface allows the user to iteratively develop complex queries, exploiting the detailed annotation with hierarchical controlled vocabularies. Results are provided at any stage in a simplified, tabular view. Specialized views then allows "zooming in" on the full annotation of interactions, interactors and their properties. IntAct source code and data are freely available.
Proper citation: IntAct (RRID:SCR_006944) Copy
http://www.imgt.org/IMGTindex/IMGTgene-db.html
IMGT/GENE-DB is the comprehensive IMGT genome database for immunoglobulin (IG) and T cell receptor (TR) genes from human and mouse, and, in development, from other vertebrates. IMGT/GENE-DB is the international reference for the IG and TR gene nomenclature and works in close collaboration with the HUGO Nomenclature Committee, Mouse Genome Database and genome committees for other species. IMGT/GENE-DB allows a search of IG and TR genes by locus, group and subgroup, which are CLASSIFICATION concepts of IMGT-ONTOLOGY. Short cuts allow the retrieval gene information by gene name or clone name. Direct links with configurable URL give access to information usable by humans or programs. An IMGT/GENE-DB entry displays accurate gene data related to genome (gene localization), allelic polymorphisms (number of alleles, IMGT reference sequences, functionality, etc.) gene expression (known cDNAs), proteins and structures (Protein displays, IMGT Colliers de Perles). It provides internal links to the IMGT sequence databases and to the IMGT Repertoire Web resources, and external links to genome and generalist sequence databases. IMGT/GENE-DB manages the IMGT reference directory used by the IMGT tools for IG and TR gene and allele comparison and assignment, and by the IMGT databases for gene data annotation., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: IMGT/GENE-DB (RRID:SCR_006964) Copy
http://sites.huji.ac.il/malaria/
Data set of metabolic pathways for the malaria parasite based on the present knowledge of parasite biochemistry and on pathways known to occur in other unicellular eukaryotes. This site extracted the pertinent information from the universal sites and presented them in an educative and informative format. The site also includes, cell-cell interactions (cytoadherence and rosetting), invasion of the erythrocyte by the parasite and transport functions. It also contains an artistic impression of the ultrastructural morphology of the interaerythrocytic cycle stages and some details about the morphology of mitochondria and the apicoplast. Most pathways are relevant to the erythrocytic phase of the parasite cycle. All maps were checked for the presence of enzyme-coding genes as they are officially annotated in the Plasmodium genome (http://plasmodb.org/). The site is constructed in a hierarchical pattern that permits logical deepening: * Grouped pathways of major chemical components or biological process ** Specific pathways or specific process *** Chemical structures of substrates and products or process **** Names of enzymes and their genes or components of process Each map is linked to other maps thus enabling to verify the origin of a substrate or the fate of a product. Clicking on the EC number that appears next to each enzyme, connects the site to BRENDA, SWISSPROT ExPASy ENZYME, PlasmoDB and to IUBMB reaction scheme. Clicking of the name of a metabolite, connects the site to KEGG thus providing its chemical structure and formula. Next to each enzyme there is a pie that depicts the stage-dependent transcription of the enzyme''s coding gene. The pie is constructed as a clock of the 48 hours of the parasite cycle, where red signifies over-transcription and green, under-transcription. Clicking on the pie links to the DeRisi/UCSF transcriptome database.
Proper citation: Malaria Parasite Metabolic Pathways (RRID:SCR_007072) Copy
http://www.evocontology.org/site/Main/EvocOntologyDotOrg
THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone., documented September 6, 2016. Set of orthogonal controlled vocabularies that unifies gene expression data by facilitating a link between the genome sequence and expression phenotype information. The system associates labelled target cDNAs for microarray experiments, or cDNA libraries and their associated transcripts with controlled terms in a set of hierarchical vocabularies. eVOC consists of four orthogonal controlled vocabularies suitable for describing the domains of human gene expression data including Anatomical System, Cell Type, Pathology and Developmental Stage. The four core eVOC ontologies provide an appropriate set of detailed human terms that describe the sample source of human experimental material such as cDNA and SAGE libraries. These expression terms are linked to libraries and transcripts allowing the assessment of tissue expression profiles, differential gene expression levels and the physical distribution of expression across the genome. Analysis is currently possible using EST and SAGE data, with microarray data being incorporated. The eVOC data is increasingly being accepted as a standard for describing gene expression and eVOC ontologies are integrated with the Ensembl EnsMart database, the Alternate Transcript Diversity Project and the UniProt Knowledgebase. Several groups are currently working to provide shared development of this resource such that it is of maximum use in unifying transcript expression information.
Proper citation: eVOC (RRID:SCR_010704) Copy
http://matrixdb.univ-lyon1.fr/
Freely available database focused on interactions established by extracellular proteins and polysaccharides, taking into account the multimeric nature of the extracellular proteins (e.g. collagens, laminins and thrombospondins are multimers). MatrixDB is an active member of the International Molecular Exchange (IMEx) consortium and has adopted the PSI-MI standards for annotating and exchanging interaction data. It includes interaction data extracted from the literature by manual curation, and offers access to relevant data involving extracellular proteins provided by the IMEx partner databases through the PSICQUIC webservice, as well as data from the Human Protein Reference Database. The database reports mammalian protein-protein and protein-carbohydrate interactions involving extracellular molecules. Interactions with lipids and cations are also reported. MatrixDB is focused on mammalian interactions, but aims to integrate interaction datasets of model organisms when available. MatrixDB provides direct links to databases recapitulating mutations in genes encoding extracellular proteins, to UniGene and to the Human Protein Atlas that shows expression and localization of proteins in a large variety of normal human tissues and cells. MatrixDB allows researchers to perform customized queries and to build tissue- and disease-specific interaction networks that can be visualized and analyzed with Cytoscape or Medusa. Statistics (2013): 2283 extracellular matrix interactions including 2095 protein-protein and 169 protein-glycosaminoglycan interactions.
Proper citation: MatrixDB (RRID:SCR_001727) Copy
Crowd-curated catalog of life sciences Web services with over 2400 service entries, thereby enabling users (people and programs) to discover and use these services easily. It provides a platform with several (standardized) interfaces and a suite of tools for registration of services by the community of users as well as empowers the community to extend and enhance the system. BioCatalogue provides a centralized biological web services market place which is accessible to the world as it is searchable and indexable to search engines. Additionally, it provides a quality of service standard for biological web services thereby enabling services to be classified and checked for availability, reliability and other quality measures. Primary goals: * Provide a single registration point for Web Service providers and a single search site for scientists and developers. * Providers, Expert curators and Users will provide oversight, monitor the catalog and provide high quality annotations for services. * BioCatalogue is a place where the community can find contacts and meet the experts and maintainers of these services.
Proper citation: Biocatalogue - The Life Science Web Services Registry (RRID:SCR_001679) Copy
http://datahub.io/dataset/kupkb
A collection of omics datasets (mRNA, proteins and miRNA) that have been extracted from PubMed and other related renal databases, all related to kidney physiology and pathology giving KUP biologists the means to ask queries across many resources in order to aggregate knowledge that is necessary for answering biological questions. Some microarray raw datasets have also been downloaded from the Gene Expression Omnibus and analyzed by the open-source software GeneArmada. The Semantic Web technologies, together with the background knowledge from the domain's ontologies, allows both rapid conversion and integration of this knowledge base. SPARQL endpoint http://sparql.kupkb.org/sparql The KUPKB Network Explorer will help you visualize the relationships among molecules stored in the KUPKB. A simple spreadsheet template is available for users to submit data to the KUPKB. It aims to capture a minimal amount of information about the experiment and the observations made.
Proper citation: Kidney and Urinary Pathway Knowledge Base (RRID:SCR_001746) Copy
http://www.genes2cognition.org/resources/
Biological resources, including gene-targeting vectors, ES cell lines, antibodies, and transgenic mice, generated for its phenotyping pipeline as part of the Genes to Cognition research program are freely-available to interested researchers. Available Transgenic Mouse Lines: *Hras1 (H-ras) knockout,C57BL/6J *Dlg4 (PSD-95) knockout,129S5 *Dlg4 (PSD-95) knockout,C57BL/6J *Dlg3 (SAP102) knockout with hprt mutation,129S5 *Dlg3 (SAP102) knockout (wild-type for hprt,C57BL/6J *Syngap1 (SynGAP) knockout (from 8.24 clone), C57BL/6J *Dlg4 (PSD-95) guanylate kinase domain deletion, C57BL/6J *Ptk2 (FAK) knockout,C57BL/6J
Proper citation: Genes to Cognition - Biological Resources (RRID:SCR_001675) Copy
http://cmbn-approd01.uio.no/nesys/
Public neuroscience database providing a collection of published data describing structure and structure-function relationships in one of the largest projection systems of the brain: the cerebro-cerebellar system. It also gives access to a suite of tools that allow the user to visualize and analyze any selected combination of data sets. Contact them if you are interested in contributing data. The overall goal is to improve communication of results and permit re-use of previously published data in new contexts. FACCS is a part of the Rat Brain WorkBench, a new research and development project funded by The Research Council of Norway, the Centre for Molecular Biology and Neuroscience, and the European Union. The project is directed by Jan G. Bjaalie, Centre for Molecular Biology and Neuroscience & Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
Proper citation: Functional Anatomy of the Cerebro-Cerebellar System (FACCS) (RRID:SCR_001661) Copy
http://biodev.extra.cea.fr/interoporc/
Automatic prediction tool to infer protein-protein interaction networks, it is applicable for lots of species using orthology and known interactions. The interoPORC method is based on the interolog concept and combines source interaction datasets from public databases as well as clusters of orthologous proteins (PORC) available on Integr8. Users can use this page to ask InteroPorc for all species present in Integr8. Some results are already computed and users can run InteroPorc to investigate any other species. Currently, the following databases are processed and merged (with datetime of the last available public release for each database used): IntAct, MINT, DIP, and Integr8.
Proper citation: InteroPorc (RRID:SCR_002067) Copy
Software tool for description of connectivity in small and large scale neuronal network models. It provides operators to form more complex sets of connections from simpler ones and also provides parameterization of such sets. Can be used as component of neuronal network simulators or other tools.
Proper citation: Connection-set algebra (RRID:SCR_017397) Copy
http://cordis.europa.eu/project/rcn/98370_en.html
The Colon Therapy Research (COLTHERES) consortium brings together clinical centers and translational researchers funded in the European Union to define and perform biomarker driven clinical trials to improve cancer therapy outcomes. This 4-year consortium will use comprehensively molecularly-annotated colon cancers as a "test-bed" to define specific biomarkers of response or resistance to signaling pathway agents.
Proper citation: Colon Therapy Research Consortium (COLTHERES) (RRID:SCR_013690) Copy
A software application which assists in managing and sharing scientific literature. Users can collect and share publications, collaborate with other researchers, and find new resources and publications for research.
Proper citation: BibSonomy (RRID:SCR_013756) Copy
https://github.com/ledancs/hFigures
A Javascript library that aims to deliver a starting point for interactive health data visualization. Examples and demos are available on the site. hFigures was built with d3.js and a copy of the library is included in this repository. All rights and license terms apply to the d3.js library accordingly.
Proper citation: hFigures (RRID:SCR_014201) Copy
https://lsbr.niams.nih.gov/bsoft/
Software package and a platform for the processing of electron micrographs in structural biology. Supports different image file formats used in electron microscopy (including MRC, SPIDER, IMAGIC, SUPRIM, and PIF)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: Bsoft (RRID:SCR_016503) Copy
Software framework for image processing to obtain 3D models of macromolecular complexes using Electron Microscopy. Open-source project for integration, reproducibility and validation in 3D electron microscopy. It integrates several software packages to execute workflows combining different software tools, while taking care of formats and conversions. Electron Microscopy (3DEM). waiting for pdf from Joe
Proper citation: SCIPION (RRID:SCR_016738) Copy
Manually annotated reaction database where all reaction participants (reactants and products) are linked to the ChEBI database (Chemical Entities of Biological Interest) which provides detailed information about structure, formula and charge. Rhea provides built-in validations that ensure both elemental and charge balance of the reactions. The database has been populated with the reactions found in the Enzyme Commission (EC) list (and in the IntEnz and ENZYME databases), extending it with additional known reactions of biological interest. While the main focus of Rhea is enzyme-catalyzed reactions, other biochemical reactions are also included. Rhea is a manually annotated resource and it provides: stable reaction identifiers for each of its reactions; directionality information if the physiological direction of the reaction is known; the possibility to link several reactions together to form overall reactions; extensive cross-references to other resources including enzyme-catalyzed and other metabolic reactions, such as the EC list (in IntEnz), KEGG, MetaCyc and UniPathway; and chemical substructure and similarity searches on compounds in Rhea.
Proper citation: RHEA (RRID:SCR_004713) Copy
http://www.dcc.ac.uk/resources/standards/diffuse
DCC DIFFUSE Standards Frameworks is a browsable database with information on both standards and the organizations which sponsor them. Entries can currently be browsed either by category, alphabetically by title or by sponsoring body. Although no further work on DIFFUSE is planned, frameworks that were created remain an accessible and relevant resource. These include frameworks developed from existing publications or specifications as well as those developed specifically for the DIFFUSE project. The DCC DIFFUSE Standards Frameworks were developed in partnership with a number of organizations with the aim of presenting searchable frameworks of standards relevant to digital curation and preservation. DCC DIFFUSE Standards Frameworks provides information about sets of standards, used by specific domains, which enable curation and preservation of, and access to, data across all stages of the DCC Curation Lifecycle Model. The project maintains information about current and emerging standards and specifications which are used. Entries for individual standards and specifications include: * Links to database entries concerning sponsoring bodies * Links to the official documentation * Links to additional documentation such as user guides, tutorials, implementation profiles and registers, XML DTD or Schema * A description of the scope of the standard or specification * A description of the development of the standard or specification * Practical examples of the standard or specification in use Entries for sponsoring bodies include: * Contact details * Organizational objectives * Areas of activity * Membership details DCC DIFFUSE includes published standards which are included in frameworks used for curation and preservation of access to digital material, for example: * Standards ratified by national or international standards organizations or bodies * Standards developed by, or ratified by, professional organizations * Publicly available specifications developed by, or ratified by, a consortia or fora
Proper citation: DCC DIFFUSE Standards Frameworks (RRID:SCR_005086) Copy
Software tool for identification and annotation of genetically mobile domains and analysis of domain architectures.
Proper citation: SMART (RRID:SCR_005026) Copy
https://datashare.ed.ac.uk/handle/10283/3844
Genome transcriptome atlas by RNA in situ hybridization on sagittal sections of developing mouse at embryonic day 14.5. Consists of searchable database of annotated images that can be interactively viewed. Anatomy based expression profiles for coding genes and microRNAs, tissue specific genes. Expression data generated by using human and murine tissue arrays.
Proper citation: Eurexpress (RRID:SCR_005093) Copy
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