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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.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://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.erasmusmc.nl/pathologie/clinicalpathology/tissuebank/161255/?lang=en

The Erasmus MC Virtual Tissue Bank is embedded in the department of Pathology. The collection is meant for medical research purposes only. This concerns a typical clinical based pathology biobank. Tissue samples left over from surgical resection specimen are stored under liquid nitrogen and can be requested by Erasmus MC scientists for medical scientific experiments. An application has been developed to enable scientists to search the collection on-line and request tissue samples over the Erasmus MC Intranet. Every request shall be judged according to procedures determined by the Erasmus MC Tissue Bank. A growing need is anticipated for large collections of well-diagnosed fresh frozen tumor tissue and, if available, corresponding pre-malignant and normal tissue samples. Scientific research on patient residual material has to comply with strict rules and regulations. Equipment The Erasmus MC Tissue bank manages the PALM microdissection laser for the center for Biomics, which is available through the center for Biomics ONLY after having followed an introduction course. Additionally, a complete TMA (Tissue Micro Array) platform, fully funded by the Josephine Nefkens Stichting, consisting of a Beecher Automated Tissue Arrayer ATA 27 and a Virtual Microscope or Nanozoomer from Hamamatsu and Medical Solutions with TMA analyses software strongly supports translational research on tissue samples. Complete histologic Images from the Virtual Microscope are available within the Erasmus MC Intranet or available on the Internet either by overview or a direct example.

Proper citation: Erasmus MC Tissue Bank (RRID:SCR_004945) Copy   

•   Source: SciCrunch Registry

http://abacas.sourceforge.net

Software that contiguates (align, order, orientate), visualizes and designs primers to close gaps on shotgun assembled contigs based on a reference sequence. ABACAS finds alignment positions and identifies syntenies of assembled contigs against the reference, then generates a pseudomolecule taking overlapping contigs and gaps into account.

Proper citation: ABACAS (RRID:SCR_015852) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://www.bibsonomy.org

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://scipion.i2pc.es/

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   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/intact

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://locus.jouy.inra.fr/cgi-bin/bovmap/intro.pl

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. Database containing information on the cattle genome comprising loci list, phenes list, homology query, cattle maps, gene list, and chromosome homology. The objective of BovMap is to develop a set of anchored loci for the cattle genome map. In total, 58 clones were hybridized with chromosomes and identified loci on 22 of the 31 different bovine chromosomes. Three clones contained satellite DNA. Two or more markers were placed on 12 chromosomes. Sequencing of the microsatellites and flanking regions was performed directly from 43 cosmids, as previously reported. Primers were developed for 39 markers and used to describe the polymorphism associated with the corresponding loci. Users are also allowed to summit their own data for Bovmap. An integrated cytogenetic and meiotic map of the bovine genome has also been developed around the Bovmap database. One objective that Bovmap uses as the mapping strategy for the bovine genome uses large insert clones as a tool for physical mapping and as a source of highly polymorphic microsatellites for genetic typing.

Proper citation: BovMap Database (RRID:SCR_008145) Copy   

•   Source: SciCrunch Registry

http://www.itera-ls.org/

A forum for scientists specialized in stem cells, tissue engineering and regenerative medicine. The international board of the ITERA Life-Sciences Forum is composed of researchers and physicians from universities, university hospitals, stem cell and research institutes and biotechnological companies. The annual international ITERA Life-Sciences Forum workshop is dedicated to the latest developments in stem cell research. Cryo-Save, Europe''''s leading provider of stem cell banks, is a founding member of ITERA and sponsors the yearly workshops with an unrestricted educational grant. Members of ITERA Life-Sciences are participating members in three EU-Framework projects: e.a. CRYSTAL and HEPADIP and were recently awarded the HYPERLAB project. The IWT (Agency for Innovation by Science and Technology) recently confirmed that ITERA members will be involved in the HEPSTEM project with participating groups from the Flemish Universities and one research group (KUL, UGENT, VUB and IMEC). ITERA Life Sciences Forum has created this networking to share the knowledge of the academic world with the knowledge of small and middle sized enterprises (SME''''s), with the aim to participate in the Framework programs of the European Union. At the third Workshop in Maastricht (25-26 October 2007) we asked some opinion leaders who participated to explain their actual vision about stem cells of the cord, cord blood and placenta. The videos on what they had to say are available.

Proper citation: ITERA Life - Sciences (RRID:SCR_008758) Copy   

•   Source: SciCrunch Registry

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   

•   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.ebi.ac.uk/compneur-srv/LGICdb/

Database providing access to information about transmembrane proteins that exist under different conformations, with three primary subfamilies: the cys-loop superfamily, the ATP gated channels superfamily, and the glutamate activated cationic channels superfamily. Due to the lack of evolutionary relationship, these three superfamilies are treated separately. It currently contains 554 entries of ligand-activated ion channel subunits. In this database one may find: the nucleic and proteic sequences of the subunits. Multiple sequence alignments can be generated, and some phylogenetic studies of the superfamilies are provided. Additionally, the atomic coordinates of subunits, or portion of subunits, are provided when available. Redundancy is kept to a minimum, i.e. one entry per gene. Each entry in the database has been manually constructed and checked by a researcher of the field in order to reduce the inaccuracies to a minimum. NOTE: This database is not actively maintained anymore. People should not consider it as an up-to-date trustable resource. For any new work, they should consider using alternative sources, such as UniProt, Ensembl, Protein Databank etc.

Proper citation: Ligand-Gated Ion Channel Database (RRID:SCR_002418) Copy   

•   Source: SciCrunch Registry