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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. A public resource for sharing general proteomics information including data (Tranche repository), tools, and news. Joining or creating a group/project provides tools and standards for collaboration, project management, data annotation, permissions, permanent storage, and publication.
Proper citation: Proteome Commons (RRID:SCR_006234) Copy
Data and knowledge management infrastructure for the new Center for Clinical and Translational Science (CCTS) at the University of Utah. This clinical cohort search tool is used to search across the University of Utah clinical data warehouse and the Utah Population Database for people who satisfy various criteria of the researchers. It uses the i2b2 front end but has a set of terminology servers, metadata servers and federated query tool as the back end systems. FURTHeR does on-the-fly translation of search terms and data models across the source systems and returns a count of results by unique individuals. They are extending the set of databases that can be queried.
Proper citation: FURTHeR (RRID:SCR_006383) Copy
One of only four NCRR-supported centers with the capability to conduct biomedical research in the chimpanzee, it offers chimpanzee-derived cell lines, antibodies and other biological materials, along with a registry of biologic reagents that are known to work in the chimpanzee. The Resource and Management Core is responsible for providing animal resources, tissues/biological fluids, cell lines, expert advice and research support to NIH extramural and intramural programs, other federal agencies and private sponsors. The Resource-Related Research Core conducts research to improve the health of the animals maintained, with special emphasis on studies that will enhance the usefulness of the chimpanzee as a model for studies of human disease. Resource-related research will focus on characterization of the immune system of the chimpanzee, expansion of our understanding of chimpanzee cardiomyopathy as a potential human disease model and comparisons of the physiologic and immunological consequences of research manipulations on chimpanzees trained to voluntarily cooperate with research procedures. By expanding the resources available, conducting resource-related research and containing costs, the CBRR will continue to provide a critically important, highly specialized research resource to address important human health issues.
Proper citation: Chimpanzee Biomedical Research Resource (RRID:SCR_006289) Copy
The BioCurrents Research Center (BRC) is an integrated technology resource of the NIH:NCRR. The activities of the Center focus on molecular physiology as it relates to the cell function and disease. Our particular interest is how the dynamics of cell responses are reflected in the chemical profiles of microdomains surrounding single living cells. In order to measure complex cellular boundary layers, the BRC has specialized in the development of extremely sensitive signal acquisition and processing methods along with miniaturized electrochemical sensor designs. The technique is non-invasive and termed self-referencing. Since its establishment in 1996, the BRC has directed its technological research and development to the design and application of ultra-microelectrodes (tip diameters of less than 10m) tailored for the detection of specific chemicals. These have been successfully applied to the boundary layer profiles of many different cell types, with thematic strength in diabetes research, reproductive health and development (see collaborative profiles). More recently, it is changing its focus to technical developments, enhancing the integrative approach to cell function. To understand a cell as a dynamic and integrated whole, BRC must be able to examine responses from different domains as near to real time and as synchronously as possible. To this end, it is developing imaging capabilities to work in parallel with electrochemistry and conventional electrophysiological techniques. Imaging includes a spinning disc confocal, as well as a low light/luminescent imager designed and built within the BRC. The technologies developed or under development are in high demand within the biomedical community. Over 40 investigators work with the Center each year in a collaborative or service capacity. Over 80 of our visitor pool is NIH funded, representing approximately 25 NIH divisions and institutes. As part of our training and dissemination program we host occasional workshops at major national and international meetings, train a significant number of new investigators each year and host graduate students undertaking portions of their thesis dissertation using our technologies. In dissemination we advise on, and install, electrochemical systems in off campus research endeavors, both academic and industrial.
Proper citation: BioCurrents Research Center (RRID:SCR_002020) Copy
Biomedical technology research center that develops, tests and applies technology aimed toward completely automating the processes involved in solving macromolecular structures using cryo-electron microscopy. The goal is to establish a resource that will serve both as a center for high-throughput molecular microscopy as well as for transferring this technique to the research community. Current Core Technology Research and Development is focused on 4 areas: improving grid substrates and specimen preparation; further automation and optimization of image acquisition; development of an integrated single particle analysis and processing pipeline; and the development of automated high throughput EM screening. NRAMM welcomes applications of both collaborative and service projects.
Proper citation: National Resource for Automated Molecular Microscopy (RRID:SCR_001448) Copy
Biomedical technology research center that develops methods, both experimental and theoretical, of modern electron spin resonance (ESR) for biomedical applications. Center technologies are applicable to the determination of the structure and complex dynamics of proteins. Principal areas of expertise: * Pulsed Fourier Transform and Two Dimensional ESR * High Frequency-High Field (HFHF) ESR * High Resolution ESR Microscopy * Theory and Computational Methods for Modern ESR Activities include: * making resources available to the biomedical community, * publishing results, * running workshops on the new methodologies, * addressing the need to bring these new technologies to other laboratories.
Proper citation: National Biomedical Center for Advanced ESR Technology (RRID:SCR_001444) Copy
Biomedical technology research center that develops new algorithms, visualizations and conceptual frameworks to study biological networks at multiple levels and scales, from protein-protein and genetic interactions to cell-cell communication and vast social networks. They are developing freely available, open-source suite of software technology that broadly enables network-based visualization, analysis, and biomedical discovery for NIH-funded researchers. This software is enabling researchers to assemble large-scale biological data into models of networks and pathways and to use these networks to better understand how biological systems operate under normal conditions and how they fail in disease. The National Resource for Network Biology is organized around the following key components: Technology Research and Development, Driving Biomedical Projects, Outreach, Training and Dissemination of Tools. The NRNB supports several types of training events, including both virtual and live workshops; tutorials sessions for clinicians, biologists and bioinformaticians; presentations and demonstrations at conferences; online tutorials and webcasts; and annual symposium.
Proper citation: National Resource for Network Biology (RRID:SCR_004259) Copy
http://depts.washington.edu/yeastrc/
Biomedical technology research center that (1) exploits the budding yeast Saccharomyces cerevisiae to develop novel technologies for investigating and characterizing protein function and protein structure (2) facilitates research and extension of new technologies through collaboration, and (3) actively disseminates data and technology to the research community. Through collaboration, the YRC freely provides resources and expertise in six core technology areas: Protein Tandem Mass Spectrometry, Protein Sequence-Function Relationships, Quantitative Phenotyping, Protein Structure Prediction and Design, Fluorescence Microscopy, Computational Biology.
Proper citation: Yeast Resource Center (RRID:SCR_007942) Copy
Biomedical Technology Resource Center that develops image processing and analysis techniques for basic and clinical neurosciences. The NAC research approach emphasizes both specific core technologies and collaborative application projects. The core activity of the center is the development of algorithms and techniques for postprocessing of imaging data. New segmentation techniques aid identification of brain structures and disease. Registration methods are used for relating image data to specific patient anatomy or one set of images to another. Visualization tools allow the display of complex anatomical and quantitative information. High-performance computing hardware and associated software techniques further accelerate algorithms and methods. Digital anatomy atlases are developed for the support of both interactive and algorithmic computational tools. Although the emphasis of the NAC is on the dissemination of concepts and techniques, specific elements of the core software technologies have been made available to outside researchers or the community at large. The NAC's core technologies serve the following major collaborative projects: Alzheimer's disease and the aging brain, morphometric measures in schizophrenia and schizotypal disorder, quantitative analysis of multiple sclerosis, and interactive image-based planning and guidance in neurosurgery. One or more NAC researchers have been designated as responsible for each of the core technologies and the collaborative projects.
Proper citation: Neuroimage Analysis Center (RRID:SCR_008998) Copy
Biomedical technology research center that focuses on the computational bottlenecks that impair the interpretation of data, bringing modern algorithmic approaches to mass spectrometry and building a new generation of reliable, open-access software tools to support both new mass spectrometry instrumentation and emerging applications.
Proper citation: Center for Computational Mass Spectrometry (RRID:SCR_008161) Copy
Biomedical technology research center that develops mass spectrometry-based tools for the study of proteins, lipids and metaboilites. These include biomarker identification, stable isotope mass spectrometry and the analysis of intact proteins. Our goals are: * to conduct basic research in the science of mass spectrometry * to establish collaborative research projects with scientists at WU and at other institutions * to provide a service in mass spectrometry * to educate and train students in mass spectrometry * to disseminate results of our research and descriptions of the subject of mass spectrometry
Proper citation: NIH / NCRR Mass Spectrometry Resource Washington University in St. Louis (RRID:SCR_009009) Copy
http://glycotech.ccrc.uga.edu/
Biomedical technology research center that develops technologies to increase understanding of the molecular basis of the involvement of carbohydrates in protein-carbohydrate interactions in disease and to develop more powerful technologies necessary to achieve this goal. Complex carbohydrates play an important role in many biomedically important processes, including inflammatory response, hormone action, malignancy, viral and bacterial infections and cell differentiation. The resource combines complimentary technologies: synthetic chemistry, nuclear magnetic resonance, mass spectrometry, computational biology, protein expression and cell-based assays. As new technologies are developed, application to these processes will be pursued through collaborative and service projects.
Proper citation: Resource for Integrated Glycotechnology (RRID:SCR_009008) Copy
http://cell.ccrc.uga.edu/world/glycomics/glycomics.php
Biomedical technology research center that develops and implements new technologies to investigate the glycome of cells, including glycoproteomics and glycoconjugate analysis, transcript analysis and bioinformatics. It develops the tools and technology to analyze in detail the glycoprotein and glycolipid expression of mouse embryonic stem cells and the cells into which they differentiate. The technology developed in the Center will allow an understanding of how glycosylation is controlled during differentiation and will allow the development of tools to promote the use of stem cells to treat human disease. In addition, the technology developed will be applicable to the study of other cell types, including cancer cells that are progressing to a more invasive phenotype. The technology developed will also allow others in the scientific community to participate in glycomics research through dissemination of the new methods developed and through the analytical services provided by the resource to other scientists requesting assistance in glycomic analyses.
Proper citation: Integrated Technology Resource for Biomedical Glycomics (RRID:SCR_009003) Copy
http://www-ssrl.slac.stanford.edu/content/science/ssrl-smb-program
Biomedical technology research center that operates as a integrated center with three primary areas (or cores) of technological research and development and scientific focus: macromolecular crystallography (MC), X-ray absorption spectroscopy (XAS) and small-angle X-ray scattering/diffraction (SAXS) . Central to the core technological developments in all three areas is the development and utilization of improved detectors and instrumentation, especially to be able to take maximum advantage of the high brightness of SSRL?s third-generation synchrotron X-ray storage ring (SPEAR3). A primary focus is the use of enhanced computing and data management tools to provide more user-friendly, real-time and on-line instrumentation control, including full remote access for crystallography, data reduction and analysis.
Proper citation: SSRL Structural Molecular Biology (RRID:SCR_009000) Copy
http://ncmir.ucsd.edu/downloads/montage_rts2000.shtm
Software program for creating montages from multiphoton microscopy.
Proper citation: Montage RTS2000 (RRID:SCR_013439) Copy
https://cab.spbu.ru/software/spades/
Software package for assembling single cell genomes and mini metagenomes. Uses short read sets as input. Used for genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. Works with Illumina or IonTorrent reads and can provide hybrid assemblies using PacBio, Oxford Nanopore and Sanger reads. Intended for small genomes like bacterial or fungal., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: SPAdes (RRID:SCR_000131) Copy
Consortium represents all publicly available gene trap cell lines, which are available on non-collaborative basis for nominal handling fees. Researchers can search and browse IGTC database for cell lines of interest using accession numbers or IDs, keywords, sequence data, tissue expression profiles and biological pathways, can find trapped genes of interest on IGTC website, and order cell lines for generation of mutant mice through blastocyst injection. Consortium members include: BayGenomics (USA), Centre for Modelling Human Disease (Toronto, Canada), Embryonic Stem Cell Database (University of Manitoba, Canada), Exchangeable Gene Trap Clones (Kumamoto University, Japan), German Gene Trap Consortium provider (Germany), Sanger Institute Gene Trap Resource (Cambridge, UK), Soriano Lab Gene Trap Resource (Mount Sinai School of Medicine, New York, USA), Texas Institute for Genomic Medicine - TIGM (USA), TIGEM-IRBM Gene Trap (Naples, Italy).
Proper citation: International Gene Trap Consortium (RRID:SCR_002305) Copy
http://www.cnprc.ucdavis.edu/research/arc.aspx
The Analytical and Resource Core provides services and resources to the scientific research community in areas including hematology, clinical chemistry, genetics, immunology, endocrinology, flow cytometry, and pathogen detection. Available resources include biological specimens, viral stocks, DNA, and species-specific reagents. Scientists and staff associated with each of the seven Core Laboratories provide consultation in experimental design, sample collection, and data analysis, and offer assays that utilize species-specific reagents wherever possible. Core Laboratory scientists can also work with users to develop new assays to meet research needs. Training is available for all assays, and Core Laboratories equipment can be made available, typically on a recharge basis. Nonhuman primate resources developed at CNPRC are available to qualified individuals via the Resource Services component of the Core. * Clinical Laboratory * Endocrine Core Laboratory * Flow Cytometry Core Laboratory * Genetics Core Laboratory * Infectious Diseases Immunology Core Laboratory * Pathogen Detection Core Laboratory * Respiratory Disease Immunology Core Laboratory * Affiliated Laboratory: Clinical Proteomics Core Laboratory * Affiliated Laboratory: Microarray Core Facility * Resource Services: The following research resources of CNPRC are available to scientists on a recharge basis. ** Allergen: Characterized protein extracts of house dust mite (Dermatophagoides pteronyssinus and Dermatophagoides farinae) are available for allergen sensitization projects. ** Biological Specimens: Tissues collected at necropsy are available from rhesus monkeys (Macaca mulatta), cynomolgus monkeys (Macaca fascicularis), and titi monkeys (Callicebus cupreus). Contact: Biospecimens (at) primate.ucdavis.edu Blood samples are available through our blood donor program. ** Data: Data for colony animals are available from our computerized database. Data include birth records, weights, reproductive history, relocation history, etc. ** DNA: DNA extracted from peripheral blood mononuclear cells is available on animals of all age-sex classes from known pedigrees. ** Reagents and Samples: Reagents, controls, and known/unknown samples are available from the Pathogen Detection Core Laboratory. Samples include pedigreed sera/plasma, fixed tissues and DNA from macaques and various other species. Validated reagents for many pathogens are available, including SIV, SRV1-5, SFV, STLV, RRV, RhCMV, Herpes B, SV40, and LCV. More information is available at: http://pdl.primate.ucdavis.edu/PDLreagents.html. ** Shipping: Shipping services are available by trained staff who can properly document, package and ship critical experimental materials, including nonhuman primate samples. Assistance is also provided for obtaining CITES permits, required for international shipment of any nonhuman primate samples. ** Transformed B-Cell Lines: Cryopreserved Herpes papio - transformed B cell lines from over 300 rhesus monkeys in the CNPRC colony are available. Transformation of macaque B cells to establish a new cell line is available on request. ** Virus Stock: Rhesus Cytomegalovirus: A unique primary isolate, developed at CNPRC, is available. ** Virus Stock: Simian Immunodeficiency Virus: Aliquots of SIVmac251 and SIVmac239 virus stocks were prepared by propagation in peripheral blood mononuclear cells from rhesus macaques and contain approximately 100,000 50% tissue culture infectious doses per ml. As measured by the commercial SIV branched chain assay, SIVmac251 contains 2 x 109 copies of SIV RNA per ml and SIVmac239 contains 109 copies of SIV RNA per ml. These virus stocks are infectious for rhesus macaques by intravenous, intravaginal and oral routes of inoculation.
Proper citation: California National Primate Research Center Analytical and Resource Core (RRID:SCR_000696) Copy
http://www.nitrc.org/projects/nusdast
A repository of schizophrenia neuroimaging data collected from over 450 individuals with schizophrenia, healthy controls and their respective siblings, most with 2-year longitudinal follow-up. The data include neuroimaging data, cognitive data, clinical data, and genetic data.
Proper citation: Northwestern University Schizophrenia Data and Software Tool (NUSDAST) (RRID:SCR_014153) Copy
https://github.com/kstreet13/slingshot
Software R package for identifying and characterizing continuous developmental trajectories in single cell data. Cell lineage and pseudotime inference for single-cell transcriptomics.
Proper citation: Slingshot (RRID:SCR_017012) Copy
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