Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
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.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Center for Magnetic Resonance and Optical Imaging Resource Report Resource Website 1+ mentions |
Center for Magnetic Resonance and Optical Imaging (RRID:SCR_001428) | CMROI | biomedical technology research center, training resource | Biomedical technology research center dedicated to the development and application of innovative, novel magnetic resonance and optical imaging techniques. The facility's core sections provide research and computing resources for numerous user, collaborative, and training projects. The focus of this resource is on developing instrumentation, methodologies, and data analysis techniques for the quantitative assessment of functional, structural, and metabolic parameters in humans with the use of multinuclear magnetic resonance, novel spectral, perfusion, functional, and optical imaging techniques. These technological developments are driven by collaboration with scientists from within and outside University of Pennsylvania, the primary institution. Specifically, the Resource is focused on the development of quantitative, noninvasive MR and optical imaging based biomarkers for studying tissue metabolism and function, with an eye towards clinical translation through early diagnosis. The Center also provides support in the development and evaluation of new therapies in a variety of diseases. | magnetic resonance imaging, optical imaging, multinuclear magnetic resonance | has parent organization: University of Pennsylvania Perelman School of Medicine; Pennsylvania; USA | NIBIB P41 EB015893 | Free, Freely Available | nlx_152652 | http://cmroi.med.upenn.edu/ | SCR_001428 | 2026-08-04 09:40:23 | 1 | ||||||
|
National Center for Image-Guided Therapy Resource Report Resource Website 1+ mentions |
National Center for Image-Guided Therapy (RRID:SCR_001419) | NCIGT | biomedical technology research center, training resource | Biomedical Technology Resource Center that serves as a national resource for all aspects of research into medical procedures that are enhanced by imaging. Its common goal is to provide more effective patient care. The center is focused on the multidisciplinary development of innovative image-guided intervention technologies to enable effective, less invasive clinical treatments that are not only more economical, but also produce better results for patients. The NCIGT is helping to implement this vision by serving as a proving ground for some of the next generation of medical therapies. | clinical, patient care, imaging, medical procedure | has parent organization: Harvard Medical School; Massachusetts; USA | NIBIB P41EB015898 | Free, Freely Available | nlx_152641 | SCR_001419 | National Center for Image Guided Therapy | 2026-08-04 09:40:22 | 2 | ||||||
|
Center for Magnetic Resonance Research Resource Report Resource Website 1+ mentions |
Center for Magnetic Resonance Research (RRID:SCR_003148) | CMRR | access service resource, biomedical technology research center, training resource, service resource | Biomedical technology research center that focuses on development of unique magnetic resonance (MR) imaging and spectroscopy methodologies and instrumentation for the acquisition of structural, functional, and biochemical information non-invasively in humans, and utilizing this capability to investigate organ function in health and disease. The distinctive feature of this resource is the emphasis on ultrahigh magnetic fields (7 Tesla and above), which was pioneered by this BTRC. This emphasis is based on the premise that there exists significant advantages to extracting biomedical information using ultrahigh magnetic fields, provided difficulties encountered by working at high frequencies corresponding to such high field strengths can be overcome by methodological and engineering solutions. This BTRC is home to some of the most advanced MR instrumentation in the world, complemented by human resources that provide unique expertise in imaging physics, engineering, and signal processing. No single group of scientists can successfully carry out all aspects of this type of interdisciplinary biomedical research; by bringing together these multi-disciplinary capabilities in a synergistic fashion, facilitating these interdisciplinary interactions, and providing adequate and centralized support for them under a central umbrella, this BTRC amplifies the contributions of each of these groups of scientists to basic and clinical biomedical research. Collectively, the approaches and instrumentation developed in this BTRC constitute some of the most important tools used today to study system level organ function and physiology in humans for basic and translational research, and are increasingly applied world-wide. CMRR Faculty conducts research in a variety of areas including: * High field functional brain mapping in humans; methodological developments, mechanistic studies, and neuroscience applications * Metabolism, bioenergetics, and perfusion studies of human pathological states (tumors, obesity, diabetes, hepatic encephalopathy, cystic fibrosis, and psychiatric disorders) * Cardiac bioenergetics under normal and pathological conditions * Automated magnetic field shimming methods that are critical for spectroscopy and ultrafast imaging at high magnetic fields * Development of high field magnetic resonance imaging and spectroscopy techniques for anatomic, physiologic, metabolic, and functional studies in humans and animal models * Radiofrequency (RF) pulse design based on adiabatic principles * Development of magnetic resonance hardware for high fields (e.g. RF coils, pre-amplifiers, digital receivers, phased arrays, etc.) * Development of software for data analysis and display for functional brain mapping. | mri, imaging, magnetic resonance spectroscopy, clinical, core facility, in vivo, brain mapping | has parent organization: University of Minnesota Twin Cities; Minnesota; USA | NCRR ; NIH Blueprint for Neuroscience Research ; NIBIB ; W. M. Keck Foundation |
Free, Freely available | nif-0000-00563 | SCR_003148 | NMR Imaging and Localized Spectroscopy | 2026-08-04 09:40:49 | 5 | ||||||
|
National Biomedical Electron Paramagnetic Resonance Center Resource Report Resource Website |
National Biomedical Electron Paramagnetic Resonance Center (RRID:SCR_006601) | National Biomedical EPR Center, EPR Center | biomedical technology research center, training resource | Biomedical technology research center focusing on technological innovation and application of new techniques to biological problems. The main areas of research are free radicals, spin labeling, metal complexes, and metallo proteins. Spectrometers are available for S-, X-, L-, Q- , and W-band EPR, many with ENDOR, ELDOR, saturation-transfer, saturation-recovery, and multiquantum capabilities. * Development of multiquantum Q- and W-band spectrometers, including multiquantum ELDOR, development of time-locked sub-sampling (TLSS) for broadband detection of periodically modulated signals * Development of loop-gap resonators using finite element modeling of Maxwell''s equations * Application of multifrequency (1 to 100 GHz) electron paramagnetic resonance (EPR) to characterize paramagnetic centers * Study of relaxation processes using multifrequency pulse saturation recovery * Use of nitroxide radical spin labels to measure translational and rotational diffusion in biological systems, site-directed spin labeling (SDSL), and use of EPR for the detection of nitric oxide and oxy radicals | spectrometer, electron paramagnetic resonance, free radical, spin labeling, metal complex, metallo protein | has parent organization: Medical College of Wisconsin; Wisconsin; USA | NIBIB | nlx_152655 | SCR_006601 | National Biomedical EPR | 2026-08-04 09:41:38 | 0 | |||||||
|
MIALAB - Resting State Data Resource Report Resource Website 10+ mentions |
MIALAB - Resting State Data (RRID:SCR_008914) | data set, data or information resource | An MRI data set that demonstrates the utility of a mega-analytic approach by identifying the effects of age and gender on the resting-state networks (RSNs) of 603 healthy adolescents and adults (mean age: 23.4 years, range: 12-71 years). Data were collected on the same scanner, preprocessed using an automated analysis pipeline based in SPM, and studied using group independent component analysis. RSNs were identified and evaluated in terms of three primary outcome measures: time course spectral power, spatial map intensity, and functional network connectivity. Results revealed robust effects of age on all three outcome measures, largely indicating decreases in network coherence and connectivity with increasing age. Gender effects were of smaller magnitude but suggested stronger intra-network connectivity in females and more inter-network connectivity in males, particularly with regard to sensorimotor networks. These findings, along with the analysis approach and statistical framework described, provide a useful baseline for future investigations of brain networks in health and disease. | fmri, functional connectivity, resting-state, independent component analysis, connectome, adolescent, adult, mri, resting state network, connectivity, dataset | has parent organization: MIALAB - Medical Image Analysis Lab | Aging | NRC Bilatgrunn ; NIBIB 1R01-EB006841; NIBIB 1R01- EB005846; NIBIB 2R01-EB000840; NIBIB 1 P20 RR021938-01; DOE DE-FG02-08ER64581; NIMH 1R01-MH072681-01; John Templeton Foundation grant 12456; NIAAA 1P20 AA017068; NINDSR21NS064464 ; NIDA1 R03 DA022435-01A1 ; NIDA1 R03 DA024212-01A1 ; NIDA KO1-DA021632-02 |
PMID:21442040 | nlx_151552 | SCR_008914 | Medical Image Analysis Laboratory - Resting State Data, MIA Laboratory - Resting State Data, Medical Image Analysis Lab - Resting State Data, Medical Image Analysis (MIA) Laboratory - Resting State Data | 2026-08-04 09:42:15 | 10 | ||||||
|
Neuroimage Analysis Center Resource Report Resource Website 1+ mentions |
Neuroimage Analysis Center (RRID:SCR_008998) | NAC | biomedical technology research center, training resource | 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. | brain, neuroimaging, image processing, image analysis, postprocessing, segmentation, registration, algorithm, technique, brain structure, visualization, neurosurgery | has parent organization: Harvard Medical School; Massachusetts; USA | Alzheimer's disease, Aging, Schizophrenia, Schizotypal disorder, Multiple Sclerosis, Neurosurgery | NIBIB P41 EB015902; NCRR P41 RR13218 |
nlx_152643 | SCR_008998 | Neuroimaging Analysis Center | 2026-08-04 09:42:17 | 8 | ||||||
|
3D Developmental Mouse Brain Common Coordinate Framework Resource Report Resource Website 1+ mentions |
3D Developmental Mouse Brain Common Coordinate Framework (RRID:SCR_025544) | atlas, data or information resource | Open access multimodal 3D atlases of developing mouse brain that can be used to integrate mouse brain imaging data for visualization, education, cell census mapping, and more. Atlas ages include E11.5, E13.5, E15.5, E18.5, P4, P14, and P56. Web platform can be utilized to visualize and explore the atlas in 3D. Downloadable atlas can be used to align multimodal mouse brain data. Morphologically averaged symmetric template brains serve as the basis reference space and coordinate system. Anatomical labels are manually drawn in 3D based on the prosomeric model. For additional references, the P56 template includes templates and annotations from the aligned Allen Mouse Brain Common Coordinate Framework (Allen CCFv3) and aligned Molecular Atlas of the Adult Mouse Brain. | multimodal 3D atlases, developing mouse brain, mouse brain data, |
is related to: Allen Mouse Brain Common Coordinate Framework is organization facet of: BRAIN Initiative |
NIMH RF1MH12460501; NINDS R01NS108407; NIMH R01MH116176; NIBIB R01EB031722 |
PMID:37745386 | Free, Freely available | SCR_025544 | DevCCF | 2026-08-04 09:45:47 | 2 | |||||||
|
ezBIDS Resource Report Resource Website |
ezBIDS (RRID:SCR_025563) | web application, software resource | Web-based BIDS conversion tool to convert neuroimaging data and associated metadata to BIDS standard. Guided standardization of neuroimaging data interoperable with major data archives and platforms. | Guided standardization, neuroimaging data, Brain Imaging Data Structure, BIDS conversion tool, convert neuroimaging data, associated metadata, interoperable, BIDS standard, | NINDS UM1NS132207; BRAIN CONNECTS ; NIBIB R01EB029272; NIBIB R01EB030896; NSF ; Kavli Foundation ; Wellcome Trust ; NIMH R01MH133701; Spanish Government |
PMID:38332144 | Free, Freely available | https://brainlife.io/ezbids/, | SCR_025563 | ez Brain Imaging Data Structure | 2026-08-04 09:45:51 | 0 | |||||||
|
MRQy Resource Report Resource Website 1+ mentions |
MRQy (RRID:SCR_025779) | data processing software, software application, software resource, data analysis software | Software quality assurance and checking tool for quantitative assessment of magnetic resonance imaging and computed tomography data. Used for quality control of MR imaging data. | quantitative assessment, magnetic resonance imaging, computed tomography, imaging data, | NCI U24CA199374; NCI R01CA202752; NCI R01CA208236; NCI R01CA216579; NCI R01CA220581; NCI 1U01CA239055; NCI 1F31CA216935; NCI 1U01CA248226; NHLBI R01HL15127701A1; NIBIB 1R43EB028736; NCRR 1C06RR12463 |
PMID:33176026 | Free, Available for download, Freely available | SCR_025779 | 2026-08-04 09:45:51 | 1 | |||||||||
|
Annotare Resource Report Resource Website |
Annotare (RRID:SCR_000319) | software application, standalone software, software resource | A software tool for annotating biomedical investigations and the resulting data, then producing a MAGE-TAB file. This software is a standalone desktop which features: an editor function, an annotation modifier, incorporation of terms from biomedical ontologies, standard templates for common experiment types, a design aid to help create a new document, and a validator that checks for syntactic and semantic violations. | biomedical research, magetab, editor, annotation, biomedical ontology | is listed by: OMICtools | NIBIB ; NCI ; NHGRI P41 HG003619 |
PMID:20733062 | Free, Available for download, Freely available | OMICS_00741 | SCR_000319 | annotare: a tool for annotating high-throughput biomedical investigations and resulting data | 2026-08-04 09:40:06 | 0 | ||||||
|
TARGETgene Resource Report Resource Website 1+ mentions |
TARGETgene (RRID:SCR_001392) | TARGETgene | software application, software resource | MATLAB tool to effectively identify potential therapeutic targets and drugs in cancer using genetic network-based approaches. It can rapidly extract genetic interactions from a precompiled database stored as a MATLAB MAT-file without the need to interrogate remote SQL databases. Millions of interactions involving thousands of candidate genes can be mapped to the genetic network within minutes. While TARGETgene is currently based on the gene network reported in (Wu et al.,Bioinformatics 26:807-813, 2010), it can be easily extended to allow the optional use of other developed gene networks. The simple graphical user interface also enables rapid, intuitive mapping and analysis of therapeutic targets at the systems level. By mapping predictions to drug-target information, TARGETgene may be used as an initial drug screening tool that identifies compounds for further evaluation. In addition, TARGETgene is expected to be applicable to identify potential therapeutic targets for any type or subtype of cancers, even those rare cancers that are not genetically recognized. Identification of Potential Therapeutic Targets * Prioritize potential therapeutic targets from thousands of candidate genes generated from high-throughput experiments using network-based metrics * Validate predictions (prioritization) using user-defined benchmark genes and curated cancer genes * Explore biologic information of selected targets through external databases (e.g., NCBI Entrez Gene) and gene function enrichment analysis Initial Drug Screening * Identify for further evaluation existing drugs and compounds that may act on the potential therapeutic targets identified by TARGETgene * Explore general information on identified drugs of interest through several external links Operating System: Windows XP / Vista / 7 | disease target, drug discovery, drug, matlab, gene network, genetic interaction, gene, drug screening, mutation driver, therapeutic target, drug candidate, compound, mapping, analysis | has parent organization: Biomedical Simulations Resource | Cancer | NIBIB P41-EB001978 | PMID:22952662 | Free, Under the terms of a Release Agreement., Please cite | nlx_152573 | http://bmsr.usc.edu/Software/TARGET/TARGET.html | SCR_001392 | 2026-08-04 09:40:22 | 7 | ||||
|
SPHARM-MAT Resource Report Resource Website 1+ mentions |
SPHARM-MAT (RRID:SCR_002545) | SPHARM-MAT | software application, software resource, software toolkit | A matlab-based 3D shape modeling and analysis toolkit, and is designed to aid statistical shape analysis for identifying morphometric changes in 3D structures of interest related to different conditions. SPHARM-MAT is implemented based on a powerful 3D Fourier surface representation method called SPHARM, which creates parametric surface models using spherical harmonics. | analyze, c, matlab, microsoft, morphology, magnetic resonance, nifti, posix/unix-like, quantification, quantitative shape analysis, shape analysis, shape decomposition, spherical harmonics, surface analysis, win32 (ms windows), windows, parametric surface model, spherical harmonics, 3d, shape modeling, analysis, morphometry |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Indiana University School of Medicine; Indiana; USA |
NIBIB R03EB008674-01 | Free, Available for download, Freely available | nlx_155952 | http://www.nitrc.org/projects/spharm-mat | SCR_002545 | 2026-08-04 09:40:40 | 2 | ||||||
|
Laser Biomedical Research Center Resource Report Resource Website 1+ mentions |
Laser Biomedical Research Center (RRID:SCR_000106) | LBRC | access service resource, biomedical technology research center, service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Biomedical technology research center that develops basic scientific understanding and new techniques required for advancing clinical applications of lasers and spectroscopy. LBRC merges optical spectroscopy, imaging, scattering, and interferometry techniques to study biophysics and biochemistry of healthy and diseased biological structures from subcellular to entire-organ scale. | spectroscopy, laser, biomedicine, optical spectroscopy, imaging, scattering, interferometry, optical probe, microscopy | has parent organization: Massachusetts Institute of Technology; Massachusetts; USA; | Pre-cancer, Cancer, Atherosclerosis, Healthy, Diseased | NIBIB 4P41EB015871-30 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_152645 | SCR_000106 | MIT Laser Biomedical Research Center, Laser Biomedical Research Center (LBRC) | 2026-08-04 09:40:04 | 4 | |||||
|
Medical Information Mart for Intensive Care-III Resource Report Resource Website 100+ mentions |
Medical Information Mart for Intensive Care-III (RRID:SCR_017384) | MIMIC-III, MIMIC 3 | database, data or information resource | Collection of comprising deidentified health related data associated with patients who stayed in critical care units of Beth Israel Deaconess Medical Center between 2001 and 2012. Database includes information such as demographics, vital sign measurements made at bedside (~1 data point per hour), laboratory test results, procedures, medications, caregiver notes, imaging reports, and mortality (both in and out of hospital). | deidentified, health-related data, Beth Israel Deaconess Medical Center, , FASEB list | NIBIB | Freely Available, Free, Available for Download | https://physionet.org/users/help/data-sharing/ | SCR_017384 | , MIMIC-III, MIMIC 3, 3, MIMIC, Medical Information Mart for Intensive Care, Medical Information Mart for Intensive Care-III | 2026-08-04 09:44:08 | 174 | |||||||
|
HCP Pipelines Resource Report Resource Website 10+ mentions |
HCP Pipelines (RRID:SCR_026575) | data processing software, software resource, software application, image processing software, software toolkit | Software package as set of tools, primarily shell scripts, for processing multi-modal, high-quality MRI images for the Human Connectome Project. Minimal preprocessing pipelines for structural, functional, and diffusion MRI that were developed by the HCP to accomplish many low level tasks, including spatial artifact/distortion removal, surface generation, cross-modal registration, and alignment to standard space. | Minimal preprocessing pipelines, Human Connectome Project, MRI images processing, MRI images, | NIMH MH091657; NIH Blueprint for Neuroscience Research ; NIMH F30 MH097312; NIMH ROI MH60974; NCRR U24 RR021382; NIBIB R01EB006758; NIA R01AG008122; NINDS R01 NS052585; NINDS R21NS072652; NINDS R01NS070963 |
PMID:23668970 | Free, Available for download, Freely available | https://www.humanconnectome.org/software/hcp-mr-pipelines | SCR_026575 | Human Connectome Project Pipelines | 2026-08-04 09:46:00 | 20 | |||||||
|
Spectroscopic Imaging, VIsualization, and Computing (SIVIC) Resource Report Resource Website |
Spectroscopic Imaging, VIsualization, and Computing (SIVIC) (RRID:SCR_027875) | SIVIC | software application, software resource | Software framework and application suite for processing and visualization of DICOM MR Spectroscopy data. Through the use of DICOM, SIVIC aims to facilitate the application of MRS in medical imaging studies. | DICOM MR Spectroscopy Workflows, data processing, data visualization, DICOM MR spectroscopy data, | NCI RO1 CA127612; NCI P01 CA11816; NIBIB P41EB013598 |
PMID:23970895 | Free, Available for download, Freely available | SCR_027875 | 2026-08-04 09:46:18 | 0 | ||||||||
|
Interagency Modeling and Analysis Group and Multi-scale Modeling Consortium Wiki Resource Report Resource Website 10+ mentions |
Interagency Modeling and Analysis Group and Multi-scale Modeling Consortium Wiki (RRID:SCR_008046) | IMAG | group | Special interest group that brings together program officers who have a shared interest in applying modeling and analysis methods to biomedical systems. The meetings are formatted to facilitate an open discussion of what is currently being supported, and for planning future directions in these areas. At each meeting, time is allotted to hear focused presentations from one or two participants to discuss issues relating to modeling and analysis across the government agencies. Discussions also occur online, and participants are informed of talks, conferences and other activities of interest to the group. IMAG recognized that the modeling community is on the forefront of thinking across the biological continuum, rather than just focusing at one scale or level of resolution. In addition IMAG identified a strong desire among modelers to form multi-disciplinary partnerships across varied research communities. Overall Intent of IMAG through the MSM Consortium is: * To develop new methodologies that span across biological scales * To develop multiscale methodologies applicable to biomedical, biological and behavioral research * To develop methodologies within the local multidisciplinary team and within the larger Framework environment * To further promote multiscale modeling through model sharing This wiki contains information relevant to the IMAG (Interagency Modeling and Analysis Group) and the MSM (Multi-scale Modeling Consortium). | environment, analysis, behavioral, biological, biomedical, continuum, modeling, research, scale, system |
is listed by: 3DVC has parent organization: National Institute of Biomedical Imaging and Bioengineering |
NIBIB ; NIH Blueprint for Neuroscience Research |
nif-0000-10261 | SCR_008046 | IMAG wiki, MSM wiki | 2026-08-01 12:03:44 | 15 | |||||||
|
nanoPOTS Resource Report Resource Website 1+ mentions |
nanoPOTS (RRID:SCR_017129) | instrument resource | Nanodroplet processing platform for deep and quantitative proteome profiling of 10 to 100 mammalian cells. It enhances efficiency and recovery of sample processing by downscaling processing volumes. | nanodroplet, processing, platform, quantitative, proteome, profiling, analysis, mammalian, cell, small, volume | has parent organization: Pacific Northwest National Laboratory | NIBIB R21 EB020976; NCI R33 CA225248; NIGMS P41 GM103493; NIDDK UC4 DK104167; NIDDK DP3 DK110844; NIH Office Of The Director S10 OD016350; JDRF |
PMID:29491378 | SCR_017129 | 2026-08-01 12:05:46 | 1 | |||||||||
|
SPM Anatomy Toolbox Resource Report Resource Website 100+ mentions |
SPM Anatomy Toolbox (RRID:SCR_013273) | SPM Anatomy Toolbox | software resource | A MATLAB toolbox which uses three dimensional probabilistic cytoarchitechtonic maps to correlate microscopic, anatomic and functional data of the cerebral cortex. Correlating the activation foci identified in functional imaging studies of the human brain with structural (e.g., cytoarchitectonic) information on the activated areas is a major methodological challenge for neuroscience research. We here present a new approach to make use of three-dimensional probabilistic cytoarchitectonic maps, as obtained from the analysis of human post-mortem brains, for correlating microscopical, anatomical and functional imaging data of the cerebral cortex. We introduce a new, MATLAB based toolbox for the SPM2 software package which enables the integration of probabilistic cytoarchitectonic maps and results of functional imaging studies. The toolbox includes the functionality for the construction of summary maps combining probability of several cortical areas by finding the most probable assignment of each voxel to one of these areas. Its main feature is to provide several measures defining the degree of correspondence between architectonic areas and functional foci. The software, together with the presently available probability maps, is available as open source software to the neuroimaging community. This new toolbox provides an easy-to-use tool for the integrated analysis of functional and anatomical data in a common reference space. | human, brain, imaging, functional magnetic resonance imaging, structure, mapping, atlas, pet, neuroimaging | is related to: SPM | NIMH ; NINDS ; NIBIB ; DFG KFO-112; DFG Schn 362/13-2 |
PMID:15850749 | nif-0000-10477 | SCR_013273 | 2026-08-01 12:04:46 | 107 | |||||||
|
flowBin Resource Report Resource Website |
flowBin (RRID:SCR_000051) | software resource | A software package to combine flow cytometry data that has been multiplexed into multiple tubes with common markers between them. It establishes common bins across tubes in terms of the common markers, then determines expression within each tube for each bin in terms of the tube-specific markers. | software package, flow cytometry data, r, cell based assay, expression |
is related to: CRAN has parent organization: Bioconductor has parent organization: BC Cancer Agency |
NIBIB R01EB008400; Canadian Cancer Society ; Michael Smith Foundation for Health Research ; International Society for the Advancement of Cytometry |
PMID:25600947 | Free, Available for download, Freely available | OMICS_05593 | SCR_000051 | flowBin - Combining multitube flow cytometry data by binning | 2026-08-01 12:01:08 | 0 |
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the RRID Resources search. From here you can search through a compilation of resources used by RRID and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that RRID has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on RRID then you can log in from here to get additional features in RRID such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
If you are logged into RRID you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
