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http://brainmap.wisc.edu/monkey.html

NO LONGER AVAILABLE. Documented on September 17, 2019. A set of multi-subject atlas templates to facilitate functional and structural imaging studies of the rhesus macaque. These atlases enable alignment of individual scans to improve localization and statistical power of the results, and allow comparison of results between studies and institutions. This population-average MRI-based atlas collection can be used with common brain mapping packages such as SPM or FSL.

Proper citation: Rhesus Macaque Atlases for Functional and Structural Imaging Studies (RRID:SCR_008650) Copy   

•   Source: SciCrunch Registry

http://web.mit.edu/glycomics/gt/gtdb.shtml

A pathway-based graphical interface for navigating the glycoenzyme database. The goal of the project is to define the paradigms by which carbohydrate binding proteins function in cellular communication. These pages are divided into six categories: -Glycosphingolipid: Sub-categories are Isogloboseries, Globoseries, Neo-lactoseries, Lactoseries and Ganglioseries - N-linked: Sub-categories are High-mannose, Hybrid and Complex -Mucin -Terminal Core 1 -Other O-linked -Terminal All: Includes all potential terminal structures for each glycan category

Proper citation: Glycosylation Pathways Database (RRID:SCR_013486) Copy   

•   Source: SciCrunch Registry

http://web.stanford.edu/group/barres_lab/brain_rnaseq.html

Database containing RNA-Seq transcriptome and splicing data from glia, neurons, and vascular cells of cerebral cortex. Collection of RNA-Seq transcriptome and splicing data from glia, neurons, and vascular cells of mouse cerebral cortex. RNA-Seq of cell types isolated from mouse and human brain.

Proper citation: Brain RNA-Seq (RRID:SCR_013736) Copy   

•   Source: SciCrunch Registry

http://hb.flatironinstitute.org/

Formerly known as GIANT (Genome-scale Integrated Analysis of gene Networks in Tissues), HumanBase applies machine learning algorithms to learn biological associations from massive genomic data collections. These integrative analyses reach beyond existing "biological knowledge" represented in the literature to identify novel, data-driven associations.

Proper citation: HumanBase (RRID:SCR_016145) Copy   

•   Source: SciCrunch Registry

http://www.broadinstitute.org/pubs/MitoCarta/

Collection of genes encoding proteins with strong support of mitochondrial localization. Inventory of genes encoding mitochondrial-localized proteins and their expression across 14 mouse tissues. Database is based on human and mouse RefSeq proteins that are mapped to NCBI Gene loci. MitoCarta 2.0 inventory provides molecular framework for system-level analysis of mammalian mitochondria.

Proper citation: MitoCarta (RRID:SCR_018165) Copy   

•   Source: SciCrunch Registry

http://software.broadinstitute.org/gsea/msigdb/index.jsp

Collection of annotated gene sets for use with Gene Set Enrichment Analysis (GSEA) software.

Proper citation: Molecular Signatures Database (RRID:SCR_016863) Copy   

•   Source: SciCrunch Registry

http://www.montana.edu/massspec/index.html

Provides access to mass spectrometers and mass spectrometry expertise. The facility currently maintains the following equipment Waters Synapt-XS Q-IMS-TOF with Waters I-Class UHPLC; Agilent 6538 Q-TOF with Agilent 1290 UHPLC;Agilent 7800 Inductively Coupled Plasma with Laser Ablation (193 nm);Bruker micrOTOF with Agilent 1290 UHPLC; Agilent 6490 Triple Quadrupole Mass Spectrometer; Bruker MALDI Autoflex; Agilent GC-MS; Waters Synapt G2S-i Q-TOF with Ion Mobility.

Proper citation: Montana State University Mass Spectrometry Core Facility (RRID:SCR_012482) Copy   

•   Source: SciCrunch Registry

https://github.com/rondolab/MR-PRESSO

Software R package for performing Mendelian randomization pleiotropy residual sum and outlier method.Used to identify horizontal pleiotropic outliers in multi instrument summary level MR testing.

Proper citation: MR-PRESSO (RRID:SCR_023697) Copy   

•   Source: SciCrunch Registry

http://anya.igsb.anl.gov/Geneways/GeneWays.html

System for automatically extracting, analzying, visualizing and integrating molecular pathway data from the research literature. System focuses on interactions between molecular substances and actions, providing a graphical consensus view on the collected information. GeneWays is designed as open platform, allowing researchers to query, review and critique integrated information.

Proper citation: GeneWays (RRID:SCR_000572) Copy   

•   Source: SciCrunch Registry

http://ncmi.bcm.edu/ncmi/

Biomedical technology research center establishing the infrastructure for fast, routine, atomic structure determination of subcellular complexes by electron cryo-microscopy, computer reconstruction and modeling. Their emphasis is on specimens that cannot currently be studied by conventional structural techniques such as x-ray crystallography or NMR. The ultimate outcome of their research is a three-dimensional image of the complex that can be used for design of drugs and vaccines for a variety of diseases. The center is focused on extending the resolution, speed and flexibility of cryo-electron microscopy for the three-dimensional structure determination of biological macromolecular assemblies. Cryo-electron microscopy can visualize molecules under near-native conditions at resolutions ranging from 0.3 to 5 nm and can yield images of individual molecules in a range of different conformations as they exist in solution. Other cryo-electron mycroscopy techniques, such as cryo-electron tomography, are being developed to capture molecular structures in situ. The equipment, techniques and expertise developed are available to the research community through collaborative projects. The NCMI also provides training through workshops and other forms of dissemination via both traditional and modern Internet-based methods.

Proper citation: National Center for Macromolecular Imaging (RRID:SCR_001445) Copy   

•   Source: SciCrunch Registry

http://www.nbcr.net/

Biomedical technology research center that conducts, catalyzes and enables multiscale biomedical research, focusing on four key activities: 1) integrating computational, data and visualization resources in a transparent, advanced grid environment to enable better access to distributed data, computational resources, instruments and people; 2) developing and deploying advanced computational tools for modeling and simulation, data analysis, query and integration, three-dimensional image processing and interactive visualization; 3) delivering and supporting advanced grid/cyberinfrastructure for biomedical researchers; and 4) training a cadre of new researchers to have an interdisciplinary, working knowledge of computational technology relevant to biomedical scientists. NBCR enables biomedical scientists to address the challenge of integrating detailed structural measurements from diverse scales of biological organization that range from molecules to organ systems in order to gain quantitative understanding of biological function and phenotypes. Predictive multi-scale models and their driving biological research problems together address issues in modeling of sub-cellular biophysics, building molecular modeling tools to accelerate discovery, and defining tools for patient-specific multi-scale modeling. NBCR furthers these driving problems by developing tools and models based on rapid advances in mathematics and information technology, incorporating them into NBCR pipelines or problem solving environments, and addressing the inevitable changes in the underlying cyber-infrastructure technologies and continually adapting codes over time. Their technology focus integrates both the biological applications and the underlying support software into reproducible science workflows that can function across a number of physical infrastructures.

Proper citation: National Biomedical Computation Resource (RRID:SCR_002656) Copy   

•   Source: SciCrunch Registry

http://ncmir.ucsd.edu/

Biomedical technology research center that develops computer-aided, advanced microscopy for the acquisition of structural and functional data in the dimensional range of 1 nm to 100 um, a range encompassing macromolecules, subcellular structures and cells. Novel specimen-staining methods, imaging instrumentsincluding intermediate high-voltage transmission electron microscopes (IVEMs) and high-speed, large-format laser-scanning light microscopesand computational capabilities are available for addressing mesoscale biological microscopy of proteins and macromolecular complexes in their cellular and tissue environments. These technologies are developed to bridge understanding of biological systems between the gross anatomical and molecular scales and to make these technologies broadly available to biomedical researchers. NCMIR provides expertise, infrastructure, technological development, and an environment in which new information about the 3D ultrastructure of tissues, cells, and macromolecular complexes may be accurately and easily obtained and analyzed. NCMIR fulfills its mission through technology development, collaboration, service, training, and dissemination. It aims to develop preparative methods and analytical approaches to 3D microscopy applicable to neurobiology and cell biology, incorporating equipment and implementing software that expand the analysis of 3D structure. The core research activities in the areas of specimen development, instrument development, and software infrastructures maximize the advantages of higher voltage electron microscopy and correlated light microscopies to make ambitious imaging studies across scales routine, and to facilitate the use of resources by biomedical researchers. NCMIR actively recruits outside users who will not only make use of these resources, but who also will drive technology development and receive training.

Proper citation: National Center for Microscopy and Imaging Research (RRID:SCR_002655) Copy   

•   Source: SciCrunch Registry

http://panomics.pnnl.gov/

Biomedical technology research center that develops and integrates new proteomic technologies for collaborative and service studies, disseminating the new technologies and training scientists in their use.

Proper citation: Proteomics Research Center for Integrative Biology (RRID:SCR_001098) Copy   

•   Source: SciCrunch Registry

http://www.cgl.ucsf.edu/

Biomedical technology resource center that develops software and web-based resources for the visualization and analysis of molecular structure, and related data, at scales ranging from the atomic to the supramolecular. They create tools for handling and integrating diverse types of biomolecular data, including atomic-resolution coordinates, density maps, sequences, annotations, and networks. Their primary efforts are in the visualization and analysis of structures of molecules and molecular assemblies, enzyme sequence-structure-function relationships, and network representations of protein similarity, binding interactions, and biological pathways. They provide technologies to enable identifying the molecular bases of disease and phenotypic variation, annotating proteins of unknown function, identifying targets for drug development, designing drugs, and engineering proteins with new functions. RBVI distributes software tools, including the popular UCSF Chimera visualization and analysis package, develops and hosts the Structure-Function Linkage Database, and provides access to state-of-the-art computational resources in support of research projects in these areas.

Proper citation: Resource for Biocomputing Visualization and Informatics (RRID:SCR_001374) Copy   

•   Source: SciCrunch Registry

https://ncxt.org/

Biomedical technology research center that develops novel cellular imaging technologies, specifically soft X-ray tomography, for visualizing and quantifying the internal structure of whole, hydrated cells, and high-numerical aperture fluorescence microscopy for locating the position of specific cellular molecules. Data from these two imaging modalities can be combined to form a single, correlated imaging view of a cell.

Proper citation: National Center for X-ray Tomography (RRID:SCR_001433) Copy   

•   Source: SciCrunch Registry

http://rlbl.chem.upenn.edu

Biomedical technology research center and training resource that develops time-resolved laser technologies and instrumentation, with a focus on 2-D IR spectroscopy. The technologies enable atomic-level measurements of the fastest steps in biological processes to elucidate structure and dynamics in biological macromolecules, assemblies and cells. The Center makes most of its instrumentation available for service research projects to outside users nation-wide.

Proper citation: Ultrafast Optical Processes Laboratory (RRID:SCR_006582) Copy   

•   Source: SciCrunch Registry

http://necat.chem.cornell.edu/

Biomedical technology research center for macromolecular crystallography at Sector 24 of the Advanced Photon Source at Argonne National Laboratory. The macromolecules studied by resource users often involve large unit cells, small crystals, weakly diffracting crystals and crystals with weak anomalous scattering. Technological research includes use of silicon monochromators, focusing optics, methods of phase determination, radiation damage, X-ray detectors, automated sample mounting, microdiffraction and crystallographic software.

Proper citation: Northeastern Collaborative Access Team (RRID:SCR_008999) Copy   

•   Source: SciCrunch Registry

http://www.mc.vanderbilt.edu/root/vumc.php?site=ims

Biomedical technology research center that advances the technology of Imaging Mass Spectrometry, facilitates the application of this novel imaging modality to problems of biological and clinical significance, and promotes the adoption of these technologies by a larger community of scientists and clinicians. Technical innovations include next-generation hardware, software and methods. Technology development is conducted by an interdisciplinary team of scientists and engineers, both within the Resource and through collaborative relationships with other universities, research institutes, and private industry. Development milestones are guided by Driving Biological Projects that require specific advancements in Imaging Mass Spectrometry in order to address biological problems. By working together, they anticipate new insights into these biological systems and a better understanding of health and disease at the molecular level that translates to improved patient care. The training mission of the Resource is accomplished through a variety of educational programs where Resource scientists and collaborators share their knowledge and experience with those interested in learning more about the technology.

Proper citation: VU National Research Resource for Imaging Mass Spectrometry (RRID:SCR_006904) Copy   

•   Source: SciCrunch Registry

http://www.nrcam.uchc.edu/

Biomedical technology research center that develops new technologies for modeling cell biological processes. The technologies are integrated through Virtual Cell, a problem-solving environment built on a central database and disseminated as a Web application for the analysis, modeling and simulation of cell biological processes. NRCAM resides at the Center for Cell Analysis and Modeling, CCAM, and provides a vast array of laboratory equipment that can be used for obtaining experimental data needed to create and enhance Virtual Cell models. Microscopy instrumentation includes three confocal laser scanning microscopes including UV excitation, nonlinear optical microscopy utilizing a titanium sapphire pulsed laser, confocal-based fluorescence correlation spectroscopy, wide-field imaging workstation with cooled CCD and rapid excitation filter wheel, and dual-wavelength spectrofluorometer. Access to the facilities and technical staff is open to all researchers., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: NRCAM (RRID:SCR_006134) Copy   

•   Source: SciCrunch Registry

http://lab.rockefeller.edu/chait/

Biomedical technology research center that develops cutting-edge mass spectrometric tools for analyzing peptides and proteins. It makes its software tools developed for data analysis freely available.

Proper citation: National Resource for the Mass Spectrometric Analysis of Biological Macromolecules (RRID:SCR_009007) Copy   

•   Source: SciCrunch Registry