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http://jaspar.genereg.net

Open source database of curated, non-redundant set of profiles derived from published collections of experimentally defined transcription factor binding sites for multicellular eukaryotes. Consists of open data access, non-redundancy and quality. JASPAR CORE is smaller set that is non-redundant and curated. Collection of transcription factor DNA-binding preferences, modeled as matrices. These can be converted into Position Weight Matrices (PWMs or PSSMs), used for scanning genomic sequences. Web interface for browsing, searching and subset selection, online sequence analysis utility and suite of programming tools for genome-wide and comparative genomic analysis of regulatory regions. New functions include clustering of matrix models by similarity, generation of random matrices by sampling from selected sets of existing models and a language-independent Web Service applications programming interface for matrix retrieval.

Proper citation: JASPAR (RRID:SCR_003030) Copy   

•   Source: SciCrunch Registry

http://www.brenda-enzymes.org/

Database for functional enzyme and ligand-related information maintained as part of the German ELIXIR Node. Provides advanced query systems, evaluation tools, and various visualization options for the detailed assessment of enzyme properties. Enzyme data in BRENDA are classified according to the Enzyme Commission (EC) nomenclature of IUBMB.

Proper citation: BRENDA (RRID:SCR_002997) Copy   

•   Source: SciCrunch Registry

http://prosite.expasy.org/

Database of protein families and domains that is based on the observation that, while there is a huge number of different proteins, most of them can be grouped, on the basis of similarities in their sequences, into a limited number of families. Proteins or protein domains belonging to a particular family generally share functional attributes and are derived from a common ancestor. It is complemented by ProRule, a collection of rules based on profiles and patterns, which increases the discriminatory power of profiles and patterns by providing additional information about functionally and/or structurally critical amino acids. ScanProsite finds matches of your protein sequences to PROSITE signatures. PROSITE currently contains patterns and profiles specific for more than a thousand protein families or domains. Each of these signatures comes with documentation providing background information on the structure and function of these proteins. The database is available via FTP.

Proper citation: PROSITE (RRID:SCR_003457) Copy   

•   Source: SciCrunch Registry

http://www.geuvadis.org/web/geuvadis/home

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 6,2023. A European Medical Sequencing Consortium committed to gaining insights into the human genome and its role in health and medicine by sharing data, experience and expertise in high-throughput sequencing., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: GEUVADIS (RRID:SCR_000684) Copy   

•   Source: SciCrunch Registry

http://www.knockoutmouse.org/about/eucommtools

Functional Annotation of the Mouse Genome, it will complete the International Knockout Mouse Consortium (IKMC) resource of mutations for all protein coding genes. Furthermore, it will maximize the utility of the conditional IKMC resource by generating up to 250 different, mostly inducible Cre driver mouse lines. In addition, EUCOMMTOOLS will develop novel tools to enhance the versatility of the IKMC resource. EUCOMMTOOLS vectors, mutant ES cells and mutant mice are distributed worldwide: EUCOMMTOOLS mutant ES cells and vectors can be obtained from the European Mouse Mutant Cell Repository (EuMMCR). EUCOMMTOOLS mutant mice are archived and distributed by the European Mouse Mutant Archive (EMMA). Knockout-first Mutant Alleles: EUCOMMTOOLS will create 3500 C57Bl/6 conditional mutant alleles for single-exon (or otherwise previously conditionally untargeted) protein-coding mouse genes. These alleles will be made predominantly by introducing an "artificial intron", containing a standard EUCOMM promoter-driven targeting cassette, into the coding sequence of the single-exon gene. Cre Resources: EUCOMMTOOLS will engineer 500 new Cre C57Bl/6 ES cell lines by Cre knock-ins into genes with useful expression patterns. The resource will be made with inducible forms of Cre recombinase such as CreERT2. Up to 250 lines of Cre driver mice on a pure C57Bl/6N background will be generated and the Cre expression patterns documented and annotated in day P14 and P56. These mice will form a matched Cre driver resource for C57Bl/6N mice produced from conditional IKMC resources. Research, Technology and Complementary Reagents: EUCOMMTOOLS will develop novel technologies to add value, depth and flexibility to existing IKMC ES cell and mouse resources. Key areas include: * Development of novel recombinase based regulatory switches * Exploration of zinc-finger nuclease stimulated homologous recombination strategies in fertilized oocytes * Development and validation of complementary modular vector reagents which enable the construction of new useful knock-in alleles such as fluorescent and other reporters, site specific recombinases, and mutant cDNAs. These novel alleles can be constructed either by re-utilizing existing IKMC modular vector resources or directly modifying existing targeted IKMC ES cell lines by RMCE.

Proper citation: EUCOMMTOOLS (RRID:SCR_000676) Copy   

•   Source: SciCrunch Registry

http://zebrafishucl.org/zebrafishbrain#about-1

Collates and curates neuroanatomical data and information generated both in-house and by community to communicate current state of knowledge about neuroanatomical structures in developing zebrafish. Most of data come from high resolution confocal imaging of intact brains in which neuroanatomical structures are labelled by combinations of transgenes and antibodies. Community repository for image based data related to neuroanatomy of zebrafish.

Proper citation: Zebrafish Brain Atlas (RRID:SCR_000606) Copy   

•   Source: SciCrunch Registry

http://www.bork.embl.de/j/

The main focus of this Computational Biology group is to predict function and to gain insights into evolution by comparative analysis of complex molecular data. The group currently works on three different scales: * genes and proteins, * protein networks and cellular processes, and * phenotypes and environments. They require both tool development and applications. Some selected projects include comparative gene, genome and metagenome analysis, mapping interactions to proteins and pathways as well as the study of temporal and spatial protein network aspects. All are geared towards the bridging of genotype and phenotype through a better understanding of molecular and cellular processes. The services - resources & tools, developed by Bork Group, are mainly designed and maintained for research & academic purposes. Most of services are published and documented in one or more papers. All our tools can be completely customized and integrated into your existing framework. This service is provided by the company biobyte solutions GmbH. Please visit their tools and services pages for full details and more information. Standard commercial licenses for our tools are also available through biobyte solutions GmbH. The group is partially associated with Max Delbr��ck Center for Molecular Medicine (MDC), Berlin.

Proper citation: EMBL - Bork Group (RRID:SCR_000810) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://www.biocatalogue.org/

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://www.ensembl.org/

Collection of genome databases for vertebrates and other eukaryotic species with DNA and protein sequence search capabilities. Used to automatically annotate genome, integrate this annotation with other available biological data and make data publicly available via web. Ensembl tools include BLAST, BLAT, BioMart and the Variant Effect Predictor (VEP) for all supported species.

Proper citation: Ensembl (RRID:SCR_002344) Copy   

•   Source: SciCrunch Registry

http://www.controlled-trials.com

Free-to-view clinical trials register of clinical trials worldwide, it allows users to search, register and share information about randomized controlled trials. Publication services are also available via the range of open access peer-reviewed journals published by BioMed Central. Current Controlled Trials is run by an editorial and technical in-house team. It receives advice from an international Advisory Group, including academics, doctors and health care specialists of international renown. The Advisory Group provides valuable guidance on the current activities and possible new directions of Current Controlled Trials' two databases, the metaRegister of Controlled Trials (mRCT) and the International Standard Randomised Controlled Trial Number (ISRCTN) scheme.

Proper citation: Current Controlled Trials (RRID:SCR_002325) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/pyxnat/

Software Python library that relies on the REST API provided by the XNAT platform since its 1.4 version. XNAT is an extensible database for neuroimaging data. The main objective is to ease communications with an XNAT server to plug-in external tools or python scripts to process the data.

Proper citation: pyxnat (RRID:SCR_002574) Copy   

•   Source: SciCrunch Registry

http://search.driver.research-infrastructures.eu/

Data infrastructure project that merged with OpenAIRE. Cohesive, robust and flexible, pan-European infrastructure for digital repositories, offering sophisticated services and functionalities for researchers, administrators and the general public. Access the network of freely accessible digital repositories with content across academic disciplines with over 3,500,000 scientific publications, found in journal articles, dissertations, books, lectures, reports, etc., harvested regularly from more than 295 repositories, from 38 countries. DRIVER has established a network of relevant experts and Open Access repositories. DRIVER-II will consolidate these efforts and transform the initial testbed into a fully functional, state-of-the art service, extending the network to a larger confederation of repositories. It aims to optimize the way the e-Infrastructure is used to store knowledge, add value to primary research data and information making secondary research more effective, provide a valuable asset for industry, and help bridging research and education. The objectives of DRIVER-II, the second phase of the project, include efforts to expand, enrich, and strengthen the results of DRIVER, in the following areas: * strategic geographic and community expansion by means of the DRIVER confederation * establish a robust, scalable repository infrastructure accompanied by an open source software package D-Net * broader coverage of content through the use of enhanced publications * advanced end-user functionality to support scientific exploration of complex digital objects * larger outreach and advocacy programs * continued repository support * guidelines for interoperability in the larger European digital library community

Proper citation: Digital Repository Infrastructure Vision for European Research (RRID:SCR_002752) Copy   

•   Source: SciCrunch Registry

http://www.eurobiobank.org/

The EuroBioBank network is the first operating network of biobanks in Europe providing human DNA, cell and tissue samples as a service to the scientific community conducting research on rare diseases. It is the only network dedicated to rare disease research in Europe. By creating a critical mass of collections and facilitating the exchange of biological material, the EuroBioBank network helps accelerate research on these diseases. * Over 440,000 samples are available across the network and can be requested via the online catalogue. Approximately 13,000 samples are collected each year and 7,000 samples distributed in Europe and beyond. The biological samples are obtained from patients affected by rare diseases, including rare neuromuscular disorders. * The EuroBioBank Network is currently composed of 18 members, of which 16 biobanks from 8 European countries (France, Germany, Hungary, Italy, Malta, Slovenia, Spain and the United-Kingdom) as well as Israel and Canada. Goals * Identify and localize biological material of interest to researchers * Build a critical mass of rare disease sample collections * Distribute high quality material and associated data to users * Promote best-practice guidelines for biobanking activities * Disseminate knowledge and know-how to the scientific community through training courses * Enhance collaboration with the medical and scientific community in the field of rare diseases EuroBioBank acts as a clearing house or virtual bank, with all samples listed in the central online catalogue remaining in the possession of the member biobanks, where they are located and can be requested. The network was established by patients and researchers to facilitate research on rare diseases by guaranteeing quick and easy access to samples via an online catalogue. The catalogue lists the samples available throughout the EuroBioBank network by type of biomaterial. A search engine enables a search by disease or by bank contact. Once a sample has been located in the catalogue, it can be requested by email. Therefore, the biological material is exchanged faster. If a sample does not appear in the EuroBioBank catalogue, help can be provided to further search it at: eurobiobank (at) telethon.it Funding and Collaboration Originally funded by the EC between 2003-2006, the EuroBioBank received further EC support between 2007-2011 within the European Network of Excellence TREAT-NMD (FP6), which covered the cost sustained by Eurordis for the network coordination and website hosting. Each biobank of the network is financed by its own Institution or charitable organization. As of January 2012, the Fondazione Telethon provides the administrative support for coordinating the EuroBioBank network and hosting the website.

Proper citation: EuroBioBank (RRID:SCR_003599) Copy   

•   Source: SciCrunch Registry

http://hendrix.imm.dtu.dk/services/jerne/brede/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 4th, 2023. A database of human data from functional neuroimaging scientific articles containing Talairach coordinates that provides data for novel information retrieval techniques and automated meta-analyses. Each article in this database is identified by a unique number: A WOBIB. Some of the structure of the Brede database is similar to the structure of the BrainMap database (Research Imaging Center, San Antonio). The database is inspired by the hierarchical structure of BrainMap with scientific articles (bib structures) on the highest level containing one or more experiments (exp structure, corresponding to a contrast in general linear model analyses), these in turn comprising one or more locations (loc structures). The information on the bib level (author, title, ...) is setup automatically from PubMed while the rest of the information is entered manually in a Matlab graphical user interface. On the loc level this includes the 3D stereotactic coordinates in either Talairach or MNI space, the brain area (functional, anatomical or cytoarchitectonic area) and magnitude values such as Z-score and P-value. On the exp level information such as modality, scanner and behavioral domain are recorded with external components (such as face recognition or kinetic boundaries) organized in a directed graph and marked up with Medical Subject Headings (MeSH) where possible. The database is distributed as part of the Brede neuroinformatics toolbox (hendrix.imm.dtu.dk/software/brede/) which also provides the functions to manipulate and analyze the data. The Brede Toolbox is a program package primarily written in Matlab. As of 2006/11, 186 papers with 586 experiments.

Proper citation: Brede Database (RRID:SCR_003327) Copy   

•   Source: SciCrunch Registry

http://www.tubafrost.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 9, 2023. In this web site you will find the central European database of OECI-TuBaFrost collecting the information of biobanks or in the project support environment on human material; i.e., frozen tumor tissue specimens, pathology blocks, blood samples in different forms, cell lines, Tissue Micro Arrays, etc. Our goal is by centralizing the tumor tissues information to facilitate the search of doctors / researchers for tumor materials, which they need for their cancer research there with facilitating cancer research. OECI members only can participate in the OECI-TuBaFrost exchange platform, or those introduced by an OECI member. We are a group of pathology and research departments as well as bio-bankers in clinical based biobanking based in comprehensive cancer centers or hospitals with a competence in comprehensive cancer care across Europe. Each participating institute is involved in cancer research resulting in innovative procedures, new drugs, improved diagnosis and new insights in disease development. The overall result is better care and treatment for cancer patients. To maximize the scientific value of the human tissue samples, information about the clinical status of the patient in combination with the quality and type of samples is very important. A TuBaFrost electronic database will securely store all this information. Within the closed project supporting environments, the data collected will include: * Diagnosis - identification of the type of cancer * Type of tissue collected - the origin, i.e. breast, skin, colorectal * Quality of tissue collected - collection and storage details The tissue is stored in the hospital where the donor was diagnosed/treated. It stays there until it is used or sent to another hospital or research center within the TuBaFrost group. The electronic database will track samples throughout the network. The tissue is not sold. The exchange of tissue to other hospitals is regulated by a contract, which uses the national regulations of the country supplying the tissue. Tissue samples within the TuBaFrost collection will only be used for research, which has been approved by ethics committees. This ensures that the tissue is only used for the best quality research and only for the specific reasons given to the ethics committee.

Proper citation: OECI - Tubafrost: The European Human Frozen Tissue Bank (RRID:SCR_004280) Copy   

•   Source: SciCrunch Registry

http://www.ihop-net.org/UniPub/iHOP/

Information system that provides a network of concurring genes and proteins extends through the scientific literature touching on phenotypes, pathologies and gene function. It provides this network as a natural way of accessing millions of PubMed abstracts. By using genes and proteins as hyperlinks between sentences and abstracts, the information in PubMed can be converted into one navigable resource, bringing all advantages of the internet to scientific literature research. Moreover, this literature network can be superimposed on experimental interaction data (e.g., yeast-two hybrid data from Drosophila melanogaster and Caenorhabditis elegans) to make possible a simultaneous analysis of new and existing knowledge. The network contains half a million sentences and 30,000 different genes from humans, mice, D. melanogaster, C. elegans, zebrafish, Arabidopsis thaliana, yeast and Escherichia coli.

Proper citation: Information Hyperlinked Over Proteins (RRID:SCR_004829) Copy   

•   Source: SciCrunch Registry