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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | ||||||||||||||
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LCRC Biospecimen Core Resource Report Resource Website |
LCRC Biospecimen Core (RRID:SCR_009895) | access service resource, core facility, service resource | Core facility that provides the following services: Tissue procurement, Quality assurance/histopathologic review, Biospecimen storage. The Louisiana Cancer Research Consortium (LCRC) Tissue Procurement and Biospecimen Core Facility (TPBCF) is a part of the infrastructure to support the conduct of basic and clinical research for members of the LCRC. The goal of the repository is to support LCRC programmatic research in order to further improve our understanding of those molecular factors that contribute to cancer and that may lead to prevention, early detection, and cure. The mission of the Biospecimen Core is to collect high quality samples of normal and diseased human material (e.g., whole blood, cellular blood components, plasma, urine, body fluids, DNA, and tumor tissue and cells) with appropriate clinical data and to make this material available to qualified researchers at Louisiana Cancer Research Consortium while ensuring the informed consent, safety, donor anonymity, and all regulatory safeguards are in place. | tissue procurement, quality control, material storage |
is listed by: Eagle I has parent organization: Xavier University of Louisiana; Louisiana; USA |
nlx_156369 | SCR_009895 | SciCrunch Registry | 2026-11-07 12:04:41 | 0 | ||||||||||
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1000 Genomes Project and AWS Resource Report Resource Website 5000+ mentions |
1000 Genomes Project and AWS (RRID:SCR_008801) | 1000 Genomes Project and AWS | data or information resource, data set | A dataset containing the full genomic sequence of 1,700 individuals, freely available for research use. The 1000 Genomes Project is an international research effort coordinated by a consortium of 75 companies and organizations to establish the most detailed catalogue of human genetic variation. The project has grown to 200 terabytes of genomic data including DNA sequenced from more than 1,700 individuals that researchers can now access on AWS for use in disease research free of charge. The dataset containing the full genomic sequence of 1,700 individuals is now available to all via Amazon S3. The data can be found at: http://s3.amazonaws.com/1000genomes The 1000 Genomes Project aims to include the genomes of more than 2,662 individuals from 26 populations around the world, and the NIH will continue to add the remaining genome samples to the data collection this year. Public Data Sets on AWS provide a centralized repository of public data hosted on Amazon Simple Storage Service (Amazon S3). The data can be seamlessly accessed from AWS services such Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Elastic MapReduce (Amazon EMR), which provide organizations with the highly scalable compute resources needed to take advantage of these large data collections. AWS is storing the public data sets at no charge to the community. Researchers pay only for the additional AWS resources they need for further processing or analysis of the data. All 200 TB of the latest 1000 Genomes Project data is available in a publicly available Amazon S3 bucket. You can access the data via simple HTTP requests, or take advantage of the AWS SDKs in languages such as Ruby, Java, Python, .NET and PHP. Researchers can use the Amazon EC2 utility computing service to dive into this data without the usual capital investment required to work with data at this scale. AWS also provides a number of orchestration and automation services to help teams make their research available to others to remix and reuse. Making the data available via a bucket in Amazon S3 also means that customers can crunch the information using Hadoop via Amazon Elastic MapReduce, and take advantage of the growing collection of tools for running bioinformatics job flows, such as CloudBurst and Crossbow. | genomic data, genome, cloud computing, cloud, human, gene, genetic variation, research, dna |
is used by: HmtVar is related to: Broad Institute Genomics Platform has parent organization: Amazon Web Services |
nlx_144340 | SCR_008801 | SciCrunch Registry | 1000 Genomes Project and Amazon Web Services, 000 Genomes Project Amazon Web Services, 1000 Genomes Project AWS | 2026-11-07 12:04:19 | 7076 | ||||||||
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National NeuroAIDS Tissue Consortium Resource Report Resource Website 10+ mentions |
National NeuroAIDS Tissue Consortium (RRID:SCR_007323) | NNTC | biomaterial supply resource, brain bank, material resource, tissue bank | Collects, stores, and distributes samples of nervous tissue, cerebrospinal fluid, blood, and other tissue from HIV-infected individuals. The NNTC mission is to bolster research on the effects of HIV infection on human brain by providing high-quality, well-characterized tissue samples from patients who died with HIV, and for whom comprehensive neuromedical and neuropsychiatric data were gathered antemortem. Researchers can request tissues from patients who have been characterized by: * degree of neurobehavioral impairment * neurological and other clinical diagnoses * history of drug use * antiretroviral treatments * blood and CSF viral load * neuropathological diagnosis The NNTC encourages external researchers to submit tissue requests for ancillary studies. The Specimen Query Tool is a web-based utility that allows researchers to quickly sort and identify appropriate NNTC specimens to support their research projects. The results generated by the tool reflect the inventory at a previous time. Actual availability at the local repositories may vary as specimens are added or distributed to other investigators. | human immunodeficiency virus, nervous tissue, cerebral spinal fluid, blood, tissue, brain, neuromedical data, neuropsychiatric data, tissue, plasma, peripheral blood mononuclear cell, serum, urine, spinal cord, nervous tissue, pituitary gland, trigeminal ganglia, dorsal root ganglion, peripheral nerve, lymph node, liver, spleen, adipose tissue, bone marrow, muscle, hair, heart, thymus, kidney, lung, eye, brain, ante-mortem, post-mortem, normal, subsyndromic, minor cognitive motor disorder, hiv - associated dementia, cytomegalovirus encephalitis, neurological impairment, traumatic brain injury, neurocognitive disease, frozen, fixed, aids, one mind tbi, asymptomatic neurocognitive impairment, minor cognitive disorder, gene array, snp |
is listed by: One Mind Biospecimen Bank Listing is related to: Manhattan HIV Brain Bank is related to: CHARTER - CNS HIV Antiretroviral Therapy Effects Research |
Human immunodeficiency virus, Neurocognitive disease, Normal, Subsyndromic, Minor Cognitive Motor Disorder, HIV - Associated Dementia, Cytomegalovirus Encephalitis, Neurological impairment, Infectious disease | NIMH ; NINDS ; NIH Blueprint for Neuroscience Research |
Public: The NNTC encourages external researchers to submit tissue requests for ancillary studies. | nif-0000-00193 | SCR_007323 | SciCrunch Registry | nntc.org, nntc | 2026-11-07 11:56:21 | 13 | |||||
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The Cancer Genome Atlas Resource Report Resource Website 5000+ mentions |
The Cancer Genome Atlas (RRID:SCR_003193) | TCGA | biomaterial supply resource, material resource | Project exploring the spectrum of genomic changes involved in more than 20 types of human cancer that provides a platform for researchers to search, download, and analyze data sets generated. As a pilot project it confirmed that an atlas of changes could be created for specific cancer types. It also showed that a national network of research and technology teams working on distinct but related projects could pool the results of their efforts, create an economy of scale and develop an infrastructure for making the data publicly accessible. Its success committed resources to collect and characterize more than 20 additional tumor types. Components of the TCGA Research Network: * Biospecimen Core Resource (BCR); Tissue samples are carefully cataloged, processed, checked for quality and stored, complete with important medical information about the patient. * Genome Characterization Centers (GCCs); Several technologies will be used to analyze genomic changes involved in cancer. The genomic changes that are identified will be further studied by the Genome Sequencing Centers. * Genome Sequencing Centers (GSCs); High-throughput Genome Sequencing Centers will identify the changes in DNA sequences that are associated with specific types of cancer. * Proteome Characterization Centers (PCCs); The centers, a component of NCI's Clinical Proteomic Tumor Analysis Consortium, will ascertain and analyze the total proteomic content of a subset of TCGA samples. * Data Coordinating Center (DCC); The information that is generated by TCGA will be centrally managed at the DCC and entered into the TCGA Data Portal and Cancer Genomics Hub as it becomes available. Centralization of data facilitates data transfer between the network and the research community, and makes data analysis more efficient. The DCC manages the TCGA Data Portal. * Cancer Genomics Hub (CGHub); Lower level sequence data will be deposited into a secure repository. This database stores cancer genome sequences and alignments. * Genome Data Analysis Centers (GDACs) - Immense amounts of data from array and second-generation sequencing technologies must be integrated across thousands of samples. These centers will provide novel informatics tools to the entire research community to facilitate broader use of TCGA data. TCGA is actively developing a network of collaborators who are able to provide samples that are collected retrospectively (tissues that had already been collected and stored) or prospectively (tissues that will be collected in the future). | genome, genome sequencing, breast, central nervous system, endocrine, gastrointestinal, gynecologic, head, neck, hematologic, skin, soft tissue, thoracic, urologic, clinical, genomic characterization, analysis, tumor genome, demographic, gene expression, copy number alteration, epigenetic, dna sequence, exome, snp, methylation, mrna, mirna, FASEB list |
is used by: Mutation Annotation and Genomic Interpretation is used by: BioXpress is used by: cancerRxTissue is listed by: One Mind Biospecimen Bank Listing is related to: Cancer3D is related to: Cancer Research Data Commons is related to: CancerMIRNome is related to: Broad Institute Genomics Platform has parent organization: National Cancer Institute works with: FireBrowse |
Cancer, Tumor, Normal, Breast cancer, Central Nervous System cancer, Endocrine cancer, Gastrointestinal cancer, Gynecologic cancer, Head cancer, Neck cancer, Hematologic cancer, Skin cancer, Soft tissue cancer, Thoracic cancer, Urologic cancer | NCI 261200800001E-12-0-1 | nlx_156913 | SCR_003193 | SciCrunch Registry | Cancer Genome Atlas | 2026-11-07 12:03:30 | 7443 | ||||||
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GeneSpeed- A Database of Unigene Domain Organization Resource Report Resource Website |
GeneSpeed- A Database of Unigene Domain Organization (RRID:SCR_002779) | analysis service resource, data analysis service, data or information resource, database, production service resource, resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. Database and customized tools to study the PFAM protein domain content of the transcriptome for all expressed genes of Homo sapiens, Mus musculus, Drosophila melanogaster, and Caenorhabditis elegans tethered to both a genomics array repository database and a range of external information resources. GeneSpeed has merged information from several existing data sets including the Gene Ontology Consortium, InterPro, Pfam, Unigene, as well as micro-array datasets. GeneSpeed is a database of PFAM domain homology contained within Unigene. Because Unigene is a non-redundant dbEST database, this provides a wide encompassing overview of the domain content of the expressed transcriptome. We have structured the GeneSpeed Database to include a rich toolset allowing the investigator to study all domain homology, no matter how remote. As a result, homology cutoff score decisions are determined by the scientist, not by a computer algorithm. This quality is one of the novel defining features of the GeneSpeed database giving the user complete control of database content. In addition to a domain content toolset, GeneSpeed provides an assortment of links to external databases, a unique and manually curated Transcription Factor Classification list, as well as links to our newly evolving GeneSpeed BetaCell Database. GeneSpeed BetaCell is a micro-array depository combined with custom array analysis tools created with an emphasis around the meta analysis of developmental time series micro-array datasets and their significance in pancreatic beta cells. | molecular neuroanatomy resource, drosophila melanogaster, genome, caenorhabditis elegans, c. elegans, genomics, homo sapiens, mus musculus, protein domain, transcriptome |
is related to: Gene Ontology is related to: InterPro is related to: Pfam is related to: UniGene has parent organization: University of Colorado Denver; Colorado; USA |
NIDDK P30DK57516; NIDDK DK61248 |
PMID:17132830 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02887 | http://genespeed.uchsc.edu/, http://genespeed.ccf.org | SCR_002779 | SciCrunch Registry | GeneSpeed Database | 2026-11-07 11:54:46 | 0 | |||||
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NRG-CING Resource Report Resource Website 1+ mentions |
NRG-CING (RRID:SCR_006079) | NRG-CING | data or information resource, database | NRG-CING presents a complete validation report for all 9,000+ wwPDB NMR entries including remediated experimental data such as chemical shifts from BMRB and restraints from NRG . These CING reports are compiled from internal analyses and those by CCPN, DSSP, PROCHECK-NMR/Aqua, ShiftX, Talos+, Vasco, Wattos, and WHAT_CHECK. The NRG-CING website is a collection of CING reports that has been pre-calculated for all PDB files solved by NMR. (See website for more information on CING.) In case the underlying experimental data is available, these have been cleaned up and made syntactically and semantically correct and homogeneous. For many macromolecular NMR ensembles from the Protein Data Bank (PDB) the experiment-based restraint lists used in the structure calculation are accessible, while other experimental data, mainly chemical shift values, are often available from the BioMagResBank. Assessment of the quality of the structural result is paramount to their usage and a combined, integrated repository of both input data and structural results greatly facilitates such an analysis. In addition, the accuracy and precision of the coordinates in these macromolecular NMR ensembles can be improved by recalculations using the available experimental data and present-day software with improved protocols and force fields. Such efforts, however, generally fail on over half of all deposited structures due to the syntactic and semantic heterogeneity of the data and the wide variety of formats used for their deposition. We have combined the cleaned-up restraints information from the NMR Restraints Grid (NRG) database with available chemical shifts from the BioMagResBank in the weekly updated NRG-CING database. Eleven programs, in addition to CING itself, have been included in the NRG-CING production pipeline to arrive at validation reports that list for each entry the potential inconsistencies between the coordinates and the available restraint and chemical shift data. The longitudinal validation of this data yielded a set of indicators that can be used to judge the quality of every macromolecular structure solved with NMR. The cleaned up NMR experimental datasets and the validation reports are freely available. | macromolecular structure, nmr, macromolecule, restraint, chemical shift, validation report, validation, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: Worldwide Protein Data Bank (wwPDB) is related to: NMR Restraints Grid is related to: Biological Magnetic Resonance Data Bank (BMRB) has parent organization: Radboud University; Nijmegen; The Netherlands |
Netherlands Organization for Scientific Research (NWO) 700.55.443; Netherlands Bioinformatics Centre (NBIC) ; EU FP6 LSHG-CT-2005-018988; EU FP6 LHSG-CT-2004-512092; EU FP7 261572; Brussels Institute for Research and Innovation BB2B 2010-1-12; NLM LM05799 |
PMID:22139937 | Free | nlx_151486, biotools:nrg-cing | https://bio.tools/nrg-cing | SCR_006079 | SciCrunch Registry | 2026-11-07 12:02:11 | 1 | |||||
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Antarctic Marine Geology Research Facility Resource Report Resource Website |
Antarctic Marine Geology Research Facility (RRID:SCR_002213) | AMGRF, ARF | biomaterial supply resource, material resource |
National repository for geological materials collected in polar regions housing over 20,000 meters of deep-sea core sediment and over 5,000 kg of dredge, trawl, and grab samples, the largest such Southern Ocean collection in the world. These materials have been acquired from over 90 USAP research vessel cruises. The Facility also houses and curates nearly 3,000 meters of rotary cored geological material acquired by NSF supported drilling programs in the Antarctic. Replacement cost of this core inventory in terms of ship and ice-based drilling is conservatively estimated to be in the range of $150 to $200M. SESAR or the the System for Earth Sample Registration is a service provided by the IDEA. SESAR operates the registry that distributes the International Geo Sample Number IGSN. SESAR catalogs and preserves sample metadata profiles, and provides access to the sample catalog via the Global Sample Search. Facility services include: * curation of the existing collections at the facility * onsite ship and land based curatorial services * receipt and processing of new cores * core description and publication of core descriptions * distribution of samples from the collection to authorized scientists * hosting of scientific meetings and workshops * tours, lectures, and student education and training in Antarctic geoscience * maintenance of: ** a core and sample database ** an Antarctic geology and marine geology reference library and a searchable End Note computer database of the entire collection ** a satellite IODP/MRC for nannofossils and diatoms |
marine, sediment, deep freeze, polar, international geosample number, geosample, x-ray, antarctic, x-radiograph, map, nannofossil, diatom, data set, metadata |
is listed by: CINERGI has parent organization: Florida State University; Florida; USA |
NSF 838901 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_154735 | SCR_002213 | SciCrunch Registry | Antarctic Research Facility | 2026-11-07 12:03:32 | 0 | ||||||
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Collaborative Studies on Genetics of Alcoholism Resource Report Resource Website |
Collaborative Studies on Genetics of Alcoholism (RRID:SCR_006841) | biomaterial supply resource, material resource | Database and biorepository from a multi-site, multi-disciplinary study characterizing the familial transmission of alcoholism and related phenotypes and identifying susceptibility genes using genetic linkage. Investigators have assembled a collection of over 300 extended families densely affected by alcoholism (more than 3000 individuals), including clinical, neuropsychological, electrophysiological, biochemical, and genetic data, and established a repository of immortalized cell lines from these individuals, to serve as a permanent source of DNA for genetic studies. NIAAA has funded the Collaborative Studies on Genetics of Alcoholism (COGA) since 1989, with the goal of identifying the specific genes underlying this vulnerability. Data and biomaterials are available to qualified investigators in the broader scientific community. Recipients of data and biomaterials will be responsible for defraying the cost of their distribution. Pedigrees densely affected with alcoholism (DSM-III-R) have been ascertained at six sites (SUNY Downstate Health Sciences Center, University of Connecticut, Indiana University, Washington University, University of Iowa, and The University of California at San Diego). Diagnoses of alcohol dependence according to several diagnostic systems (e.g., DSM-III-R, Feighner, ICD-10) are made based on examination of medical records and direct assessment using the Semi-Structured Assessment for Genetics of Alcoholism (SSAGA). Nuclear and extended pedigrees containing at least two alcohol-dependent first-degree relatives in addition to an alcohol dependent proband (with all affected individuals meeting both DSM-IIIR and Feighner criteria) have been ascertained. Clinical data comprises anonymous data on family structure, age, sex, vital status, psychopathology, diagnosis, other clinically relevant information, are stored, maintained, and distributed by Washington University. Research data, consist of data on blood biochemistry and psychological test performance, which are stored, maintained, and distributed by Washington University, and brain electrophysiological data, which are stored, maintained, and distributed by SUNY. Genetic analysis data, consisting of marker genotypes, along with results of previous genetic analyses of COGA data, are stored, maintained, and distributed by Washington University. Biomaterials, consisting of lymphoblastoid cell lines and DNA from participating subjects are stored, maintained, and distributed by Rutgers University. Researchers may gain access to clinical data, research data, genetic analysis data, and biomaterials, subject to NIAAA approval, by completing an application details available from the website. After access certification, the principal investigator will be given access to electronic data files and other documentation. | electrophysiological, gene, genetic assessment, genetic linkage, alcohol dependence, alcoholism, cell line, clinical data, dna, genotype, lymphoblastoid, neuropsychological assessment, pedigree, psychological assessment, biospecimen, clinical |
is listed by: One Mind Biospecimen Bank Listing has parent organization: National Institute on Alcohol Abuse and Alcoholism |
Alcoholism, Alcohol dependence | nif-0000-24278 | SCR_006841 | SciCrunch Registry | COGA | 2026-11-07 12:03:15 | 0 | ||||||||
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ProRepeat Resource Report Resource Website 1+ mentions |
ProRepeat (RRID:SCR_006113) | ProRepeat | data or information resource, database | ProRepeat is an integrated curated repository and analysis platform for in-depth research on the biological characteristics of amino acid tandem repeats. ProRepeat collects repeats from all proteins included in the UniProt knowledgebase, together with 85 completely sequenced eukaryotic proteomes contained within the RefSeq collection. It contains non-redundant perfect tandem repeats, approximate tandem repeats and simple, low-complexity sequences, covering the majority of the amino acid tandem repeat patterns found in proteins. The ProRepeat web interface allows querying the repeat database using repeat characteristics like repeat unit and length, number of repetitions of the repeat unit and position of the repeat in the protein. Users can also search for repeats by the characteristics of repeat containing proteins, such as entry ID, protein description, sequence length, gene name and taxon. ProRepeat offers powerful analysis tools for finding biological interesting properties of repeats, such as the strong position bias of leucine repeats in the N-terminus of eukaryotic protein sequences, the differences of repeat abundance among proteomes, the functional classification of repeat containing proteins and GC content constrains of repeats' corresponding codons. | amino acid, tandem, repeat, protein, sequence, nucleotide sequence, repeat fragment, protein repeat, proteome, sequence length, gene, taxon, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: UniProtKB is related to: RefSeq has parent organization: Wageningen University and Research Centre; Gelderland; Netherlands |
PMID:22102581 | nlx_151587, biotools:prorepeat | https://bio.tools/prorepeat | SCR_006113 | SciCrunch Registry | 2026-11-07 12:02:11 | 1 | |||||||
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Biobanking and Biomolecular Resources Research Infrastructure (BBMRI) Resource Report Resource Website 10+ mentions |
Biobanking and Biomolecular Resources Research Infrastructure (BBMRI) (RRID:SCR_004226) | BBMRI | biomaterial supply resource, material resource | BBMRI is a pan-European and internationally broadly accessible research infrastructure and a network of existing and de novo biobanks and biomolecular resources. The infrastructure will include samples from patients and healthy persons, representing different European populations (with links to epidemiological and health care information), molecular genomic resources and biocomputational tools to optimally exploit this resource for global biomedical research. During the past 3 years BBMRI has grown into a 53-member consortium with over 280 associated organizations (largely biobanks) from over 30 countries, making it the largest research infrastructure project in Europe. During the preparatory phase the concept of a functional pan-European biobank was formulated and has now been presented to Member States of the European Union and for associated states for approval and funding. BBMRI will form an interface between specimens and data (from patients and European populations) and top-level biological and medical research. This can only be achieved through a distributed research infrastructure with operational units in all participating Member States. BBMRI will be implemented under the ERIC (European Research Infrastructure Consortium) legal entity. BBMRI-ERIC foresees headquarters (central coordination) in Graz, Austria, responsible for coordination of the activities of National Nodes established in participating countries. BBMRI is in the process of submitting its application to the European Commission for a legal status under the ERIC regulation, with an expected start date at the end of 2011. Major synergism, gain of statistical power and economy of scale will be achieved by interlinking, standardizing and harmonizing - sometimes even just cross-referencing - a large variety of well-qualified, up-to date, existing and de novo national resources. The network should cover (1) major European biobanks with blood, serum, tissue or other biological samples, (2) molecular methods resource centers for human and model organisms of biomedical relevance, (3) and biocomputing centers to ensure that databases of samples in the repositories are dynamically linked to existing databases and to scientific literature as well as to statistical expertise. Catalog of European Biobanks www.bbmriportal.eu Username: guest / Password: catalogue The catalogue is intended to be used as a reference for scientists seeking information about biological samples and data suitable for their research. The BBMRI catalogue of European Biobanks provides a high-level description of Europe''s biobanks characteristics using a portal solution managing metadata and aggregate data of biobanks. The catalogue can be queried by country, by biobank, by ICD-groups, by specimen types, by specific strengths, by funding and more. A search function is available for all data. | blood, serum, tissue, dna, cdna, rna, plasma, cell line, bodily fluid, urine, blood cell isolate, buffy coat, patient, healthy, normal, cryopreserved, paraffin embedded, clinical data |
is listed by: One Mind Biospecimen Bank Listing is related to: BioResource Impact Factor is related to: German Biobank Registry is related to: BioMedBridges is related to: Biological Resource Centre - National Institute for Cancer Research has parent organization: Medical University of Graz; Graz; Austria is parent organization of: BBMRI Wiki |
All, Patient, Healthy, Normal | European Union | Public: The catalogue is intended to be used as a reference for scientists seeking information about biological samples and data suitable for their research. | nlx_24389 | http://www.bbmri.eu/index.php | SCR_004226 | SciCrunch Registry | Biobanking and Biomolecular Resources Research Infrastructure, BBMRI: Biobanking Biomolecular Resources Research Infrastructure, Biobanking Biomolecular Resources Research Infrastructure, BBMRI: Biobanking and Biomolecular Resources Research Infrastructure, Biobanking Biomolecular Resources Research Infrastructure (BBMRI) | 2026-11-07 12:03:31 | 33 | ||||
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Europe PubMed Central Resource Report Resource Website 500+ mentions |
Europe PubMed Central (RRID:SCR_005901) | Europe PMC, UKPMC | bibliography, data access protocol, data or information resource, database, software resource, web service | Free access to biomedical literature resources including all of PubMed and PubMed Central, agricultural abstracts (from AGRICOLA), over 4 million international life science patents abstracts, National Health Service (NHS) clinical guidelines, and is supplemented with Chinese Biological Abstracts and the Citeseer database. As well as powerful search of abstracts and full text articles, it also includes: * article citations and sort order based on citation count * data citations mined from full text articles * links to and from related databases and institutional repositories * a tool to create bibliographies linked to your ORCID * named entity recognition of keywords and text-mining-based applications showcased in Europe PMC Labs * Tools for recipients of grants from one of the Europe PMC funders to deposit full-text manuscripts and link them to those specific grants. * Web services for programmatic access to all the above bibliographic information and 50,000 grants. * Search by publication date, relevance, or the number of times an article has been cited. * Links to public databases such as UniProt, Protein Data Bank (PDBe), and the European Nucleotide Archive (ENA) are provided. * Through textmining technologies, you can highlight and browse keywords such as gene names, organisms and diseases. * Search 40,000 biomedical research grants awarded to the 18,000 PIs supported by the Europe PMC funders. * Roadtest new tools based on Europe PMC content in Europe PMC labs. * In Europe PMC plus, PIs supported by the Europe PMC funders can link grants to publication information, view article citation and download statistics, and submit manuscripts. | biomedical, literature, publication, health, life science, patent, clinical guideline, grant, text mining, author identification, archiving, open access, gold standard, bio.tools, bio.tools, FASEB list |
uses: EvidenceFinder uses: BioLexicon is listed by: FORCE11 is listed by: Debian is listed by: bio.tools is related to: PubMed is related to: PubMed Central is related to: AGRICOLA is related to: ORCID - Open Researcher and Contributor ID is related to: EvidenceFinder has parent organization: European Bioinformatics Institute has parent organization: Mimas has parent organization: National Centre for Text Mining is parent organization of: EvidenceFinder |
Wellcome Trust WT098231 | PMID:21062818 | Free, The community can contribute to this resource | nlx_149472, biotools:europe_pmc, biotools:ukpmc | https://bio.tools/ukpmc, https://bio.tools/europe_pmc | http://ukpmc.ac.uk/ | SCR_005901 | SciCrunch Registry | UK PubMed Central | 2026-11-07 11:55:42 | 517 | |||
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Antibodypedia Resource Report Resource Website 10+ mentions |
Antibodypedia (RRID:SCR_012782) | data or information resource, database | Open-access database of antibodies against human proteins developed through collaboration between Antibodypedia AB and the Nature Publishing Group. It aims to provide the scientific community and antibody distributors alike with information on the effectiveness of specific antibodies in specific applications--to help scientists select the right antibody for the right application. Antibodypedia's mission is to promote the functional understanding of the human proteome and expedite analysis of potential biomarkers discovered through clinical efforts. To this end, they have developed an open-access, curated, searchable database containing annotated and scored affinity reagents to aid users in selecting antibodies tailored to specific biological and biomedical assays. They envisage Antibodypedia as a virtual repository of validated antibodies against all human, and ultimately most model-organism, proteins. Such a tool will be exploitable to identify affinity reagents to document protein expression patterns in normal and pathological states and to purify proteins alone and in complex for structural and functional analyses. They hope to promote characterization of the roles and interplay of proteins and complexes in human health and disease. They encourage commercial providers to submit information regarding their inventory of antibodies with links to quality control data. Independent users can submit their own application-specific experimental data using standard validation criteria (supportive or non-supportive) developed with the assistance of an international advisory board recruited from academic research institutions. Users can also comment on specific antibodies without submitting validation data. | cell biology, antibody, protein, human, reagent, model organism, non-human primate, FASEB list |
is listed by: 3DVC is listed by: OMICtools is related to: Nature Publishing Group |
Antibodypedia AB ; Nature Publishing Group ; European Union 6th framework - ProteomeBinders ; Human Antibody Initiative ; HUPO - Human Proteome Organisation |
PMID:18667413 PMID:18767878 |
The community can contribute to this resource | nif-0000-22918, OMICS_01770 | SCR_012782 | SciCrunch Registry | Antibodypedia / Nature | 2026-11-07 12:03:14 | 45 | ||||||
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Protocol Exchange Resource Report Resource Website 1+ mentions |
Protocol Exchange (RRID:SCR_006393) | Protocol Exchange | data or information resource, experimental protocol, narrative resource | Open Repository for the deposition and sharing of protocols for scientific research. These protocols are posted directly on the Protocol Exchange by their authors and hence have not been further styled, peer reviewed or copy edited. Rather they are made freely available to the scientific community for use and comment. The Protocol Exchange strives to facilitate rapid and unencumbered distribution of protocols for scientific research. They welcome Protocols from any branch of science however we focus particularly on Protocols being used to answer outstanding biological and biomedical science research questions, which includes methods grounded in physics and chemistry with a practical application to the study of biological problems. The content of Protocol Exchange is currently classified under the following broad subject categories: Biochemistry; Cell biology; Cell culture; Chemical modification; Computational biology; Developmental biology; Epigenomics; Genetic analysis; Genetic modification, Genomics; Imaging; Immunological techniques; Isolation, Purification and Separation; Lipidomics; Metabolomics; Microbiology; Model organisms; Nanotechnology; Neuroscience; Nucleic acid based molecular biology; Pharmacology; Plant biology; Protein analysis; Proteomics; Spectroscopy; Structural biology; Synthetic chemistry; Tissue culture; Toxicology; and Virology. If your protocol does not fall into any of these categories please contact us at protocol.exchange (at) nature.com before uploading. | protocol, sharing, biology, biomedicine, biomedical, biochemistry, cell biology, cell culture, chemical modification, computational biology, developmental biology, epigenomics, genetic analysis, genetic modification, genomics, imaging, immunological techniques, isolation, purification and separation, lipidomics, metabolomics, microbiology, model organisms, nanotechnology, neuroscience, nucleic acid based molecular biology, pharmacology, plant biology, protein analysis, proteomics, spectroscopy, structural biology, synthetic chemistry, tissue culture, toxicology, virology, physics, chemistry, data repository | has parent organization: Nature Publishing Group | Creative Commons Attribution-NonCommercial License, The community can contribute to this resource | nlx_152206 | SCR_006393 | SciCrunch Registry | 2026-11-07 11:56:13 | 8 | ||||||||
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CellML Resource Report Resource Website 100+ mentions |
CellML (RRID:SCR_008061) | CellML | data or information resource, interchange format, markup language, narrative resource, standard specification | The CellML language is an open standard based on the XML markup language. The purpose of CellML is to store and exchange computer-based mathematical models. CellML allows scientists to share models even if they are using different model-building software. It also enables them to reuse components from one model in another, thus accelerating model building. Although CellML was originally intended for the description of biological models; CellML includes information about model structure (how the parts of a model are organizationally related to one another), mathematics (equations describing the underlying processes) and metadata (additional information about the model that allows scientists to search for specific models or model components in a database or other repository). The CellML team is committed to providing freely available tools for creating, editing, and using CellML models. We provide information regarding tools we are developing internally and links to external projects developing tools which utilize the CellML format. Please let us know if you have an open source CellML tool looking for a home on the internet, as we are able to offer limited hosting services on cellml.org. | biological model, cell, mathematical model, mathematics, metadata, model structure, model, xml, annotation, mark up language, FASEB list |
is listed by: 3DVC is related to: PathGuide: the pathway resource list is related to: Physiome Model Repository has parent organization: University of Auckland; Auckland; New Zealand is parent organization of: CellML Model Repository |
VPH NoE ; Maurice Wilkins Centre for Molecular Biodiscovery ; International Union of Physiological Sciences: Physiome Project ; aneurIST ; NZIMA ; Foundation for Research Science and Technology ; Wellcome Trust |
PMID:15142756 PMID:18658182 PMID:19564239 PMID:19380315 PMID:18579471 PMID:17947072 PMID:17271569 |
The CellML project is built by an open, Democratic community on an Open unspecified license / free ethic. | nif-0000-10448 | SCR_008061 | SciCrunch Registry | CellML project, The CellML Project | 2026-11-07 11:56:29 | 153 | |||||
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Yeast Search for Transcriptional Regulators And Consensus Tracking Resource Report Resource Website 100+ mentions |
Yeast Search for Transcriptional Regulators And Consensus Tracking (RRID:SCR_006076) | YEASTRACT | data or information resource, database | A curated repository of more than 206000 regulatory associations between transcription factors (TF) and target genes in Saccharomyces cerevisiae, based on more than 1300 bibliographic references. It also includes the description of 326 specific DNA binding sites shared among 113 characterized TFs. Further information about each Yeast gene has been extracted from the Saccharomyces Genome Database (SGD). For each gene the associated Gene Ontology (GO) terms and their hierarchy in GO was obtained from the GO consortium. Currently, YEASTRACT maintains a total of 7130 terms from GO. The nucleotide sequences of the promoter and coding regions for Yeast genes were obtained from Regulatory Sequence Analysis Tools (RSAT). All the information in YEASTRACT is updated regularly to match the latest data from SGD, GO consortium, RSA Tools and recent literature on yeast regulatory networks. YEASTRACT includes DISCOVERER, a set of tools that can be used to identify complex motifs found to be over-represented in the promoter regions of co-regulated genes. DISCOVERER is based on the MUSA algorithm. These algorithms take as input a list of genes and identify over-represented motifs, which can then be compared with transcription factor binding sites described in the YEASTRACT database. | yeast, gene, regulatory association, transcription factor, target gene, genomic, transcription regulation, transcription, web service, bio.tools, FASEB list |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: SGD is related to: Gene Ontology is related to: Regulatory Sequence Analysis Tools |
Fundacao para a Ciencia e a Tecnologia contract Pest-OE/EQB/LA0023/2011_research line: Systems and Synthetic Biology; Fundacao para a Ciencia e a Tecnologia ERA-IB/0002/2010; Fundacao para a Ciencia e a Tecnologia PTDC/EIA-EIA/111239/2009; Fundacao para a Ciencia e a Tecnologia PTDC/EIA-CCO/118522/2010 |
PMID:24170807 PMID:20972212 PMID:18032429 PMID:16381908 |
Free | nif-0000-03652, OMICS_00547, biotools:yeastract | https://bio.tools/yeastract | SCR_006076 | SciCrunch Registry | 2026-11-07 12:02:48 | 130 | |||||
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Xpro Resource Report Resource Website 1+ mentions |
Xpro (RRID:SCR_007976) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. A relational database that contains all the eukaryotic protein-encoding DNA sequences in GenBank. It provides detailed and comprehensive features about both the intron containing and the intron-less genes. In addition to the information found in the GenBank records, which includes properties such as sequence, position, length and description about introns, exons and protein coding regions, Xpro provides annotations on the splice sites motifs and intron phases. Furthermore, Xpro validates intron positions using alignment information between the records sequence and EST sequences found in dbEST. The entries in the XPro are also cross-referenced to SWISS-PROT/TrEMBL and Pfam databases. Unprecedented growth data in GenBank, the primary repository of nucleotide sequences due to the ever increasing number of genome and EST sequencing projects and the poor annotation of exon/intron details required for molecular evolution studies in the primary nucleotide database have made development of Xpro database. It is a specialized database that contains details about genomic features specific to eukaryotic genes and provides various web tools for analyzing/visualizing these features., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | has parent organization: National University of Singapore; Singapore; Singapore | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03647 | SCR_007976 | SciCrunch Registry | Xpro | 2026-11-07 12:02:27 | 6 | |||||||||
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HALT-C Trial Resource Report Resource Website |
HALT-C Trial (RRID:SCR_001534) | HALT-C Trial, HALT-C | bibliography, clinical trial, data or information resource, resource | Multi-center, randomized controlled study designed to determine if continuing interferon long term over several years will suppress the Hepatitis C virus, prevent progression to cirrhosis, prevent liver cancer and reduce the need for liver transplantation. Patient enrollment began in 2000 and was completed in 2003 at 10 clinical centers, which were supported by a data coordinating center, virological testing center, and central sample repository. Patients with chronic hepatitis C and advanced fibrosis or cirrhosis on liver biopsy who failed to respond to a previous course of interferon alfa were enrolled in this study. Patients were initially treated with a 24-week course of peginterferon alfa-2a and ribavirin. Patients who remained hepatitis C virus RNA positive were then randomized to receive maintenance, low-dose peginterferon or to be followed on no treatment. Liver biopsies were done before enrollment and after 2 and 4 years of treatment or follow-up. The endpoints were development of cirrhosis, hepatic decompensation, hepatocellular carcinoma, death, or liver transplantation. 1050 patients were randomized and followed through the 4 year randomized phase of the trial and as long as 4 years off treatment. Serum samples collected at multiple time points, DNA and liver tissue are available for scientific investigation. | interferon, progression, cirrhosis, prevention, liver cancer, liver transplantation, liver, pegylated interferon, clinical, outcome, adult human, dna, liver tissue, serum, blood, b lymphoblastoid cell-line, epstein-barr virus infection in peripheral blood mononuclear cell, peripheral blood mononuclear cell, biomaterial supply resource, formalin fixed, histology, frozen, stained liver slide, unstained liver slide, advanced fibrosis, liver biopsy, peginterferon alfa-2a, ribavirin |
is listed by: One Mind Biospecimen Bank Listing is listed by: ClinicalTrials.gov is listed by: NIDDK Central Repository is listed by: NIDDK Research Resources is listed by: NIDDK Information Network (dkNET) |
Hepatitis C virus, Chronic hepatitis C | NIDDK | Free, Freely available | nlx_152835 | http://archives.niddk.nih.gov/haltctrial/displaypage.aspx?pagename=haltctrial/index.htm | http://www.haltctrial.org/ | SCR_001534 | SciCrunch Registry | Hepatitis C Antiviral Long-term Treatment against Cirrhosis, Hepatitis C Antiviral Long-term Treatment against Cirrhosis (HALT-C) Trial, Hepatitis C Antiviral Long-term Treatment against Cirrhosis Trial | 2026-11-07 11:54:26 | 0 | |||
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Chronic Renal Insufficiency Cohort Study Resource Report Resource Website 1+ mentions |
Chronic Renal Insufficiency Cohort Study (RRID:SCR_009016) | CRIC Study, CRIC | biomaterial supply resource, material resource | A prospective observational national cohort study poised to make fundamental insights into the epidemiology, management, and outcomes of chronic kidney disease (CKD) in adults with intended long-term follow up. The major goals of the CRIC Study are to answer two important questions: * Why does kidney disease get worse in some people, but not in others? * Why do persons with kidney disease commonly experience heart disease and stroke? The CRIC Scientific and Data Coordinating Center at Penn receives data and provides ongoing support for a number of Ancillary Studies approved by the CRIC Cohort utilizing both data collected about CRIC study participants as well as their biological samples. The CRIC Study has enrolled over 3900 men and women with CKD from 13 recruitment sites throughout the country. Following this group of individuals over the past 10 years has contributed to the knowledge of kidney disease, its treatment, and preventing its complications. The NIDDKwill be extending the study for an additional 5 years, through 2018. An extensive set of study data is collected from CRIC Study participants. With varying frequency, data are collected in the domains of medical history, physical measures, psychometrics and behaviors, biomarkers, genomics/metabolomics, as well as renal, cardiovascular and other outcomes. Measurements include creatinine clearance and iothalamate measured glomerular filtration rate. Cardiovascular measures include blood pressure, ECG, ABI, ECHO, and EBCT. Clinical CV outcomes include MI, ischemic heart disease-related death, acute coronary syndromes, congestive heart failure, cerebrovascular disease, peripheral vascular disease, and composite outcomes. The CRIC Study has delivered in excess of 150,000 bio-samples and a dataset characterizing all 3939 CRIC participants at the time of study entry to the NIDDKnational repository. The CRIC Study will also be delivering a dataset to NCBI''''s Database for Genotypes and Phenotypes. | clinical, epidemiology, management, outcome, adult human, medical history, physical measure, psychometrics, behavior, renal, biomarker, genomics, gwas, kidney, data sharing, bibliography, observational cohort study, male, female, cardiovascular, heart, kidney, risk factor, metabolomics |
is listed by: One Mind Biospecimen Bank Listing is listed by: NIDDK Information Network (dkNET) is listed by: NIDDK Research Resources is listed by: Diabetes Research Centers is related to: NCBI database of Genotypes and Phenotypes (dbGap) is related to: NIDDK Central Repository is related to: AASK Clinical Trial and Cohort Study has parent organization: University of Pennsylvania Perelman School of Medicine; Pennsylvania; USA |
Chronic kidney disease, Cardiovascular disease | NIDDK | Proposals to carry out ancillary studies are welcome | nlx_152758 | SCR_009016 | SciCrunch Registry | Chronic Renal Insufficiency Cohort (CRIC) Study | 2026-11-07 12:03:40 | 2 | |||||
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C. elegans Gene Knockout Consortium Resource Report Resource Website 10+ mentions |
C. elegans Gene Knockout Consortium (RRID:SCR_003000) | C. elegans Gene Knockout Consortium | biomaterial supply resource, material resource, organism supplier | THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. The mission of the C. elegans Gene Knockout Consortium is to facilitate genetic research of this important model system through the production of deletion alleles at specified gene targets. We choose targets based on investigator requests. Strains produced by the consortium are freely available with no restrictions to any investigator. At one time, our capacity dictated that we restrict requests to five per lab. This restriction no longer holds. Investigators are encouraged especially to register requests for functionally related groups of genes. Consortium strains are distributed by the C. elegans Genetic Center (CGC). In most cases, when you use the Consortium web site to request an existing allele, your request is forwarded automatically to the CGC. However, if you indicate that an existing allele is not satisfactory for your research, (for whatever reason), you may request that we generate another allele for the same target. Any information generated by the Consortium is entered into the official C. elegans data repository, WormBase. | gene, locus, knockout, genetic, research, model, allele, target, strain, deletion allele, gene target |
is related to: Caenorhabditis Genetics Center is related to: WormBase has parent organization: Oklahoma Medical Research Foundation |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30230 | SCR_003000 | SciCrunch Registry | C. elegans Gene Knockout Consortium | 2026-11-07 11:54:49 | 30 | |||||||
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Biositemaps Resource Report Resource Website 1+ mentions |
Biositemaps (RRID:SCR_001976) | Biositemaps | service resource, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 27,2023. Biositemaps represent a mechanism for computational biologists and bio-informaticians to openly broadcast and retrieve meta-data about biomedical data, tools and services (i.e., biomedical resources) over the Internet. All Institutions with an interest in biomedical research can publish a biositemap.rdf file on their Internet site. The technology, developed by the Biositemaps Working Group of the NIH Roadmap National Centers of Biomedical Computing (NCBC), addresses (i) locating, (ii) querying, (iii) composing or combining, and (iv) mining biomedical resources. Each site which intends to contribute to the inventory instantiates a file on its Internet site biositemap.rdf which conforms to a defined RDF schema and uses concepts from the Biomedical Resource Ontology to describe the resources. Each biositemap.rdf file is simply a list of controlled metadata about resources (software tools, databases, material resources) that your organization uses or believes are important to biomedical research. The key enabling technologies are the Information Model (IM) which is the list of metadata fields about each resource (resource_name, description, contact_person, resource_type,...) and the Biomedical Resource Ontology (BRO) which is a controlled terminology for the resource_typeand which is used to improve the sensitivity and specificity of web searches. Biositemaps blend the features of Sitemaps (enabling efficient web-content exploration) and RSS Feeds (a mechanism for wide and effective news dissemination). As a hybrid between Sitemaps and RSS feeds, the Biositemap infrastructure facilitates a decentralized, portable, extensible and computationally tractable generation and consumption of meta-data about existent, revised and new resources for biomedical computation. Web browsers, crawlers and robots can discover, accumulate, process, integrate and deliver Biositemaps content to (human or machine) users in a variety of graphical, tabular, computational formats. Biositemaps content allows such web browsers to pool resource-associated metadata from disparate and diverse sites and present it to the user in an integrated fashion. The Biositemaps protocol provides clues, information and directives for all Biositemap web harvesters that point to the existence and content of such biomedical resources at different sites. | broadcast, data federation, defined rdf schema, infrastructure, meta-data, rdf, retrieve, biomedical, biositemap, sitemap |
lists: Adaptively Sampled Particle Fluids lists: DicomWorks lists: MEDx lists: Medical Image Processing and Visualization lists: Surface-Based Atlases lists: RESNET lists: SurfRelax lists: FEATURE lists: Cardiovascular Model Repository lists: Simtk.org lists: ConTrack lists: Allopathfinder lists: Molecular Simulation Trajectories Archive of a Villin Variant lists: BioPortal lists: SumsDB lists: NeuronDB lists: BrainInfo lists: Protege lists: i2b2 Cross-Institutional Clinical Translational Research project lists: GeneChip Operating Software lists: Honig Lab lists: Proteomics Identifications (PRIDE) lists: ASAP: the Alternative Splicing Annotation Project lists: MiMI Plugin for Cytoscape lists: Substructure Index-based Approximate Graph Alignment lists: Proteome Commons Tranche repository lists: caTIES - Cancer Text Information Extraction System lists: REDCap lists: miniTUBA lists: Einstein-Montefiore ICTR Research Informatics Core lists: T-profiler lists: Stanford Translational Research Integrated Database Environment and Clinical Data Warehouse lists: GCG/SeqWeb lists: Solstice lists: California National Primate Research Center lists: BioGPS: The Gene Portal Hub lists: Blox lists: Subcellular Location Image Finder lists: PeptideAtlas lists: Clair library lists: Lyngby lists: SimTKCore lists: Velos lists: Ingenuity Pathway Analysis lists: Philips lists: Talktech lists: SUN Interface Engine lists: Quadramed - Medicus, Quantim lists: Wisconsin National Primate Research Center lists: i2b2 Research Data Warehouse lists: Merge Healthcare Incorporated lists: Clinical Trial Management Application lists: Cerner Millenium lists: Open Clinical Report Repository lists: Quovadx, Inc. lists: VectorValuedHistogramNormalizer lists: Morphometry BIRN lists: Talairach Daemon lists: LONI Visualization Tool lists: LONI Debabeler lists: LONI Pipeline Processing Environment lists: Brede Wiki lists: medInria lists: FreeSurfer lists: ITK-SNAP lists: VoxBo lists: Ensembl lists: MRIcron lists: Synchronized Histological Image Viewing Architecture lists: LONI ShapeViewer lists: LONI ShapeTools lists: FFT Library lists: NUTMEG lists: bioDBcore lists: Mutant Mouse Resource and Research Center lists: Brainscape lists: MindSeer lists: University of Southern California LONI Software lists: Statistics Online Computational Resource lists: NIH MRI Study of Normal Brain Development lists: Ontology Development and Information Extraction lists: Mindtouch DekiWiki lists: National Mesothelioma Virtual Bank lists: MGH-USC Human Connectome Project lists: Fusion ICA Toolbox lists: Biomedical Resource Ontology lists: Biomedical Informatics Research Network lists: 3D Slicer lists: Analysis of Functional NeuroImages lists: Automated Image Registration lists: TOADS-CRUISE Brain Segmentation Tools lists: BrainImage Software lists: Brede Toolbox lists: Whole Brain Catalog lists: Low Resolution Electromagnetic Tomography lists: Cambridge Brain Activation lists: ModelDB lists: fMRI Data Center lists: EEGLAB lists: 3DViewnix lists: MIPAV: Medical Image Processing and Visualization lists: NeuroLens lists: WFU PickAtlas lists: Protein Subcellular Location Image Database lists: STRIDE Virtual Biospecimen Bank lists: BrainVoyager is related to: Biomedical Resource Ontology is related to: Software Distribution Sets is related to: REX is related to: Rat Genome Database (RGD) has parent organization: National Centers for Biomedical Computing has parent organization: National Institutes of Health is parent organization of: Resource Discovery System |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10583 | SCR_001976 | SciCrunch Registry | 2026-11-07 12:03:31 | 1 |
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