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 | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
StemBase Resource Report Resource Website 1+ mentions |
StemBase (RRID:SCR_006252) | StemBase | service resource, analysis service resource, data or information resource, database, data analysis service, production service resource | A publicly accessible database containing data on Affymetrix DNA microarray experiments, and Serial Analysis of Gene Expression, mostly on human and mouse stem cell samples and their derivatives to facilitate the discovery of gene functions relevant to stem cell control and differentiation. It has grown in both size and scope into a system with analysis tools that examine either the whole database at once, or slices of data, based on tissue type, cell type or gene of interest. There is currently more than 210 stem cell samples in 60 different experiments, with more being added regularly. The samples were originated by researchers of the Stem Cell Network and processed at the Core Facility of Stemcore Laboratories under the management of Ms. Pearl Campbell in the frame of the Stem Cell Genomics Project. Periodically, new expression data is submitted to the Gene Expression Omnibus (GEO) repository at the National Center for Biotechnological Information, in order to allow researchers to compare the data deposited in StemBase to a large amount of gene expression data sets. StemBase is different from GEO in both focus and scope. StemBase is concerned exclusively with stem cell related data. we are focused in Stem Cell research. We have made a significant effort to ensure the quality and consistency of the data included. This allows us to offer more specialized analysis tools related to Stem Cell data. GEO is intended as a large scale public archive. Deposition in a public repository such as GEO is required by most important scientific journals and it is advantageous for a further diffusion of the data since GEO is more broadly used than StemBase. | stem cell, gene expression, dna microarray, correlation tool, serial analysis of gene expression, correlation |
is used by: BloodExpress has parent organization: University of Ottawa; Ontario; Canada |
Genome Canada ; Canadian Stem Cell Network ; Canadian Institutes of Health Research ; Canada Research Chairs |
PMID:19284540 PMID:18453254 PMID:15763554 |
Publicly accessible. Please cite. | nlx_151919 | SCR_006252 | Stem Cell Genomics database | 2026-08-11 09:41:17 | 4 | |||||
|
Brede Toolbox Resource Report Resource Website 1+ mentions |
Brede Toolbox (RRID:SCR_006204) | Brede Toolbox | software application, image analysis software, image processing software, software resource, data processing software | A package for neuroinformatics and neuroimaging analysis mostly programmed in Matlab with a few additional programs in Python and Perl. It allows coordinate-based meta-analysis and visualization, neuroimaging analysis of voxel or regional data - not the original data but rather the summary images (e.g., statistical parametric images) and location data in stereotactic space. Among the algorithms implemented are kernel density estimation (for coordinate-based meta-analysis), independent component analysis, non-negative matrix factorization, k-means clustering, singular value decomposition, partial correlation analysis with permutation testing and partial canonical correlation analysis. Visualization of coordinate, surfaces and volumes are possible in 2D and 3D. Generation of HTML for results are possible and algorithms can be accessed from the command line or via a flexible graphical interface. With the Brede Toolbox comes the Brede Database with a small coordinate database from published neuroimaging studies, and ontologies for, e.g., brain function and brain regions. | ontology, database application, independent component analysis, principal component analysis, regression, neuroinformatics, neuroimaging, analysis, matlab, python, perl, coordinate, kernel density estimation, brain function, brain region, visualization, voxel, region |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps is related to: Brede Database is related to: Brede Database is related to: Brede Wiki has parent organization: THOR Center for Neuroinformatics |
Free for academic use, Acknowledgement requested | nif-0000-00275 | SCR_006204 | 2026-08-11 09:41:17 | 1 | ||||||||
|
Segmentation of Hippocampus Subfields Resource Report Resource Website 1+ mentions |
Segmentation of Hippocampus Subfields (RRID:SCR_005996) | ASHS | software application, image analysis software, software resource, segmentation software, data processing software | A software package for automatic segmentation of hippocampal subfields in magnetic resonance imges. Given a pair of T1-weighted and T2-weighted images (the latter acquired using a protocol tuned for hippocampus imaging), ASHS will automatically label main subfields of the hippocampus, and some extra-hippocampal structures, using multi-atlas segmentation. The main method is described in the Yushkevich et al. 2011 Neuroimage paper (http://tinyurl.com/cffrp3p). * execution requires: Advanced Normalization Tools, FSL | hippocampus, mri, t1-weighted image, t2-weighted image, ca1, ca2, ca3, statistical modeling, magnetic resonance |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: ANTS - Advanced Normalization ToolS is related to: FSL has parent organization: Harvard Medical School; Massachusetts; USA |
PMID:19405131 PMID:20600984 |
GNU General Public License | nlx_151370 | http://www.nitrc.org/projects/ashs | SCR_005996 | Automatic Segmentation of Hippocampal Subfields, HippocampalSubfieldSegmentation | 2026-08-11 09:41:20 | 8 | |||||
|
Bentham OPEN Resource Report Resource Website 1+ mentions |
Bentham OPEN (RRID:SCR_006202) | Bentham OPEN | service resource, portal, data or information resource, organization portal, journal article | Publish over 230 plus peer-reviewed open access journals. These free-to-view online journals cover all major disciplines of science, technology, medicine and social sciences. Bentham OPEN offers its ''Complimentary Membership'' to International R & D organizations, institutes and universities. This opportunity will entitle authors from different member institutes to a special discount of 30% in the open access publication fee for submission of articles to Bentham OPEN journals. Additionally, input and contributions from associate institutes would also be recognized and a link to their respective Website would be displayed on the Bentham OPEN membership page. The member institution''s logo will also be published on the same page. Bentham Open Membership provides the following advantages: * Possibility to explore 73 distinct disciplines by means of publishing in 239 open access journals. * Free access to all provides prospects of higher citations. * Author(s) own the copyrights to their published articles. * High standard criteria for peer-review. * Unbound right to read, download or print open access articles. * Access to a range of articles in printed form such as short communications, full length research articles, reviews or conference proceedings. * Simple steps from submission to publication, leading to fast turn-around. * Possibility of archiving published articles. The complimentary membership is valid for a span of one year and upon completion of the prescribed period, it is renewed by mutual interest and agreement. If you find the above mentioned details relevant, then kindly contact us via e-mail at membership_at_benthamscience.org or oa_at_benthamscience.org. | publisher, publish, addiction, agriculture sciences, astronomy, biochemistry, biological sciences, biotechnology, cell biology, structural biology, chemistry, computer science, dentistry, earth science, energy, fuel, engineering, environmental science, ethics, food and nutrition, forest science, genomics, imaging, informatics, marine science, materials science, mathematics, medicine and health, microbiology, nanoscience, pharmaceutical sciences, physics, plant science, proteomics, psychiatry and psychology, social sciences, toxicology, transportation, veterinary sciences | Creative Commons Attribution-NonCommercial License | nlx_151746 | SCR_006202 | Bentham Open Access | 2026-08-11 09:41:22 | 1 | ||||||||
|
Artifact Detection Tools Resource Report Resource Website 100+ mentions |
Artifact Detection Tools (RRID:SCR_005994) | ART | software application, software toolkit, image analysis software, image processing software, software resource, data processing software | Toolbox for post-processing fMRI data. Includes software for comprehensive analysis of sources of artifacts in timeseries data including spiking and motion. Most compatible with SPM processing, but adaptable for FSL as well. * Operating System: MacOS, Windows, Linux * Programming Language: MATLAB * Supported Data Format: ANALYZE | artifact removal, quality metrics, registration, motion analysis, neuroimaging, fmri, spike, motion, artifact, timeseries, matlab |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: RapidArt has parent organization: Massachusetts Institute of Technology; Massachusetts; USA; |
Free, Available for download | nlx_151369 | http://www.nitrc.org/projects/artifact_detect | SCR_005994 | 2026-08-11 09:41:14 | 244 | |||||||
|
PDFX Resource Report Resource Website 1+ mentions |
PDFX (RRID:SCR_006163) | PDFX | service resource, software application, text extraction software, software resource, production service resource | A fully-automated PDF-to-XML converter service for scientific articles. It takes a full-text PDF article as input and outputs the hierarchy of its distinct logical elements in an XML format. The elements that PDFX can currently extract are: * Front Matter ** title, abstract, author, author footnote * Body Matter ** body text, h1, h2, h3, image, table, figure/table caption, figure/table reference, bibliographic item, bibliographic reference (citation) * Extras ** header, footer, side note, page number, email, URI Note: This system has been designed for processing scientific articles. While virtually any PDF file is acceptable input, quality of the processing output might be degraded e.g. for entire books, slide presentations or spreadsheet/strictly tabular data. There are two ways in which you can use PDFX: * via a web browser * via any other HTTP client, such as the curl command-line tool | semantic mark up, text extraction, pdf, xml, html |
is listed by: FORCE11 has parent organization: Utopia Docs |
Free | nlx_151665 | SCR_006163 | 2026-08-11 09:41:22 | 2 | ||||||||
|
Knime Resource Report Resource Website 500+ mentions |
Knime (RRID:SCR_006164) | KNIME | software application, software toolkit, workflow software, text-mining software, software resource, data processing software | KNIME (Konstanz Information Miner) is a user-friendly and comprehensive Open-Source data integration, processing, analysis, and exploration platform. KNIME (naim) is a user-friendly graphical workbench for the entire analysis process: data access, data transformation, initial investigation, powerful predictive analytics, visualization and reporting. The open integration platform provides over 1000 modules (nodes), including those of the KNIME community and its extensive partner network. KNIME can be downloaded onto the desktop and used free of charge. KNIME products include additional functionalities such as shared repositories, authentication, remote execution, scheduling, SOA integration and a web user interface as well as world-class support. Robust big data extensions are available for distributed frameworks such as Hadoop. KNIME is used by over 3000 organizations in more than 60 countries. The modular data exploration platform, initially developed at the University of Konstanz, Germany, enables the user to visually create data flows, execute selected analysis steps, and later investigate the results through interactive views on data and models. KNIME is a proven integration platform for tools of numerous vendors due to its open and modular API. The KNIME.com product pipeline includes an Enterprise Server, Cluster Execution, Reporting solutions, and professional KNIME support subscriptions. KNIME.com also offer services such as data analysis, hands-on training and the development of customized components for KNIME. | platform, next-generation sequencing, data analysis, visualization, selection, analysis, high-throughput screening, data mining, drug discovery | has parent organization: University of Konstanz; Baden-Wurttemberg; Germany | PMID:23110532 PMID:22644661 PMID:22607449 PMID:21984761 PMID:21873641 |
nlx_151666 | SCR_006164 | Konstanz Information Miner | 2026-08-11 09:41:17 | 770 | |||||||
|
Impress Resource Report Resource Website 50+ mentions |
Impress (RRID:SCR_006160) | IMPReSS | international standard specification, experimental protocol, data or information resource, narrative resource, web service, software resource, standard specification, data access protocol | Contains standardized phenotyping protocols essential for the characterization of mouse phenotypes. IMPReSS holds definitions of the phenotyping Pipelines and mandatory and optional Procedures and Parameters carried out and data collected by international mouse clinics following the protocols defined. This allows data to be comparable and shareable and ontological annotations permit interspecies comparison which may help in the identification of phenotypic mouse-models of human diseases. The IMPC (International Mouse Phenotyping Consortium) core pipeline describes the phenotype pipeline that has been agreed by the research institutions. IMPReSS has a SOAP web service machine interface. The WSDL can be accessed here: http://www.mousephenotype.org/impress/soap/server?wsdl | phenotype, phenotyping, adult, embryonic, ontology, enu-induced gene knockout, gene, knockout mouse, ethylnitrosourea |
is related to: European Mouse Phenotyping Resource of Standardised Screens has parent organization: International Mouse Phenotyping Consortium (IMPC) |
nlx_151661 | SCR_006160 | International Mouse Phenotyping Resource of Standardised Screens, IMPReSS - International Mouse Phenotyping Resource of Standardised Screens | 2026-08-11 09:41:22 | 66 | ||||||||
|
cafe variome Resource Report Resource Website 10+ mentions |
cafe variome (RRID:SCR_006162) | Cafe Variome | service resource, data or information resource, storage service resource, data set, data repository | Clearinghouse and exchange portal for gene variant (mutation) data produced by diagnostics laboratories, offering users a portal through which to announce, discover and acquire a comprehensive listing of observed neutral and disease-causing gene variants in patients and unaffected individuals. Cafe Variome is not a ''''database'''' for the hosting/display/release of data, but a shop window for finding data. As such, it holds only core info for each record, and uses this merely to enable holistic searching across resources. Diagnostics laboratories routinely assess DNA samples from patients with various inherited disorders, and so produce a great wealth of data on the genetic basis of disease. Unfortunately, those data are not usually shared with others. To address this gross deficiency, a novel system has been developed that aims to facilitate the automated transfer of diagnostic laboratory data to the wider community, via an internet based Cafe for routinely exchanging genetic variation data. The flow of research data concerning the genetic basis of health and disease is critical to understanding and developing treatments for a range of genetic diseases. Overall, the project aims to lower the barriers and provide incentives for a willing community to share data, and thereby facilitate the broader exploitation of diagnostic laboratory data. Cafe Variome aims to address the above data flow problems by: # Minimizing the effort required to publish variant data # Ensuring attribution for data creators working in diagnostic laboratories Key elements of the project strategy are: * Data publication will be automated by endowing standard analysis tools used by laboratories with an online data submission function. Submissions will be received by a central Internet depot, which will serve as a place where published datasets are advertised, and subsequently discovered by diverse 3rd parties. * Each dataset will be unambiguously linked with the data submitter''''s identity, and systems devised to facilitate citation of published variant datasets so they can be cited in the literature. Data creators will thus be credited for their contributions. Data submitters can use Cafe Variome to simply announce or publicize their data to the world. To enable this, only core, non-identifiable data is submitted to the central repository, enabling users to search and discover records of interest in the source repository. The data are not automatically handed on to the user (unless intended by the submitters). Hence, the concept is used to deal with the challenge of maximally sharing data whilst fully respecting ethico-legal considerations. | phenotype, gene variant, mutation, gene, normal, disease | has parent organization: University of Leicester; Leicester; United Kingdom | Diseased, Healthy | European Union FP7/2007-2013- the GEN2PHEN project | Open access, Restricted access and Linked access | nlx_151664 | SCR_006162 | 2026-08-11 09:41:16 | 11 | ||||||
|
Allen Brain Atlas API Resource Report Resource Website 10+ mentions |
Allen Brain Atlas API (RRID:SCR_005984) | Allen Brain Atlas API | portal, topical portal, software application, data or information resource, source code, software resource | API and demo application for accessing the Allen Brain Atlas Mouse Brain data. Data available via the API includes download high resolution images, expression data from a 3D volume, 3D coordinates of the Allen Reference Atlas, and searching genes with similar gene expression profiles using NeuroBlast. Data made available includes: * High resolution images for gene expression, connectivity, and histology experiments, as well as annotated atlas images * 3-D expression summaries registered to a reference space for the Mouse Brain and Developing Mouse Brain * Primary microarray results for the Human Brain and Non-Human Primate * RNA sequencing results for the Developing Human Brain * MRI and DTI files for Human Brain The API consists of the following resources: * RESTful model access * Image download service * 3-D expression summary download service * Differential expression search services * NeuroBlast correlative searches * Image-to-image synchronization service * Structure graph download service | atlas application, expression data, 3d volume, 3d coordinate, gene, reference atlas, connectivity, histology, microarray, brain, rna sequencing, mri, dti, api, computational neuroscience, mouse brain, neuroanatomy, neuroimaging, neuroinformatics, ish, high resolution image, nissl, annotation, atlas, image, web service, neuroblast, gene expression, gene, computational neuroscience, mouse brain, neuroanatomy, neuroimaging, neuroinformatics |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Allen Mouse Brain Reference Atlas is related to: Allen Developing Mouse Brain Atlas is related to: International Neuroinformatics Coordinating Facility is related to: Brain Explorer Atlas and Teaching Tool is related to: CellTax vignette is related to: Allen Mouse Brain Common Coordinate Framework has parent organization: Allen Institute for Brain Science |
Other/Commercial license License | nlx_151358 | http://www.nitrc.org/projects/incf_allen-brai | SCR_005984 | 2026-08-11 09:41:14 | 13 | |||||||
|
Viking Viewer for Connectomics Resource Report Resource Website 10+ mentions |
Viking Viewer for Connectomics (RRID:SCR_005986) | software application, data management software, collaboration tool, software resource, data processing software | A web-compliant application that allows connectomics visualization by converting datasets to web-optimized tiles, delivering volume transforms to client devices, and providing groups of users with connectome annotation tools and data simultaneously via conventional internet connections. Viking is an extensible tool for connectomics analysis and is generalizable to histomics applications. | annotation, 2d image, microscopy image, volume, serial section, 3d reconstruction, segmentation, microscopy, visualization, optical imaging, connectomics, synapse, retina, brain |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: 3DVC has parent organization: University of Utah; Utah; USA |
Research to Prevent Blindness ; University of Utah; Utah; USA ; Graduate Research Fellowship ; Utah Science Technology and Research Initiative ; NEI R01 EY02576; NEI R01 EY015128; NEI P01 EY014800; NSF 0941717; NIDCD T32DC008553; NIBIB EB005832 |
PMID:21118201 | Open source | nlx_151360 | http://www.nitrc.org/projects/viking_viewer | SCR_005986 | Viking, Viking Connectome Annotation System, Viking Annotation System | 2026-08-11 09:41:20 | 16 | |||||
|
ABC (Atlas Based Classification) Resource Report Resource Website 1+ mentions |
ABC (Atlas Based Classification) (RRID:SCR_005981) | ABC | software application, image analysis software, workflow software, software resource, data processing software | A comprehensive processing pipeline developed and used at University of North Carolina and University of Utah for brain MRIs. The processing pipeline includes image registration, filtering, segmentation and inhomogeneity correction. The tool is cross-platform and can be run within 3D Slicer or as a stand-alone program. The image segmentation algorithm is based on the EMS software developed by Koen van Leemput. | brain, image, image registration, filter, segmentation, inhomogeneity correction, beta, c++, linux, windows |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: 3D Slicer is related to: INCF Software Center has parent organization: University of North Carolina at Chapel Hill; North Carolina; USA has parent organization: University of Utah; Utah; USA |
3D Slicer License | nlx_151362 | SCR_005981 | 2026-08-11 09:41:20 | 3 | ||||||||
|
ChiCTR - Chinese Clinical Trial Registry Resource Report Resource Website 10+ mentions |
ChiCTR - Chinese Clinical Trial Registry (RRID:SCR_006037) | ChiCTR | service resource, clinical trial, data or information resource, storage service resource, database, registry, data repository | National clinical trial registry by Ministry of Health of China to join World Health Organization International Clinical Trial Registration Platform (WHO ICTRP Primary Registry), and the approved Primary Registry of WHO ICTRP. It registers both Chinese and global clinical trials, receives data from Partner Registers certified by the WHO ICTRP, and submits data to the WHO ICTRP Central Repository for global search. Moreover, based upon the talent and technical platform, consisting of Chinese Evidence-based Medicine Centre of Ministry of Health of China, Virtual Research Centre of Evidence-Based Medicine of Ministry of Education of China, Chinese Cochrane Centre, UK Cochrane Centre and International Clinical Epidemiology Network Resource and Training Centre in West China Hospital, Sichuan University (INCLEN CERTC), ChiCTR is responsible for providing consultations on trial design, central randomization service, guidance on the writing of clinical trial reports and relevant training. WHO takes the lead in establishing the global clinical trial registration system, which is agreed upon by governments from all over the world. There are both ethical and scientific reasons for clinical trial registration. Trial participants expect that their contributions to biomedical knowledge will be used to improve health care for everyone. Open access to information about ongoing and completed trials meets the ethical duty to trial participants, and promotes greater trust and public confidence in clinical research. Furthermore, trial registration ensures that the results of all trials can be tracked down and should help to reduce unnecessary duplication of research through greater awareness of existing trials and results. The mission of ChiCTR is to Unite clinicians, clinical epidemiologists, biostatisticians, epidemiologists and health care managers both at home and abroad, to manage clinical trials in a strict and scientific manner, and to promote their quality in China, so as to provide reliable evidences from clinical trials for health care workers, consumers and medical policy decision makers, and also to use medical resources more effectively to provide better service for Chinese people and all human beings. Any trial performed in human beings is considered as a clinical trial, and should be registered before its implementation. All the registered clinical trials will be granted a unique registration number by WHO ICTRP. | clinical trial, registry, registration, clinical, trial, china |
is related to: WHO International Clinical Trials Registry Platform has parent organization: Sichuan University; Sichuan; China |
nlx_151504 | SCR_006037 | Chinese Clinical Trial Registry | 2026-08-11 09:41:21 | 42 | ||||||||
|
PatientCrossroads Resource Report Resource Website 1+ mentions |
PatientCrossroads (RRID:SCR_006279) | PatientCrossroads | portal, topical portal, data or information resource, patient registry, people resource | A trusted third-party gatekeeper of patient data from participants in a rare disease ecosystem, collecting and managing the information in a scalable, cost-effective manner. Each patient registry provides critical disease knowledge which makes that disease easier to study, increasing the probability a treatment can be developed. PatientCrossroads takes a network approach to patient registry programs. Unlike companies that merely sell registry software, we offer a full range of administration, management, and genetic curation services. What does this consolidated, patient-centric approach to patient registries mean? * Patients can more easily find registries and provide their valuable data (including locations of blood and tissue samples as well as reports of diagnoses, disease symptoms, treatment usage, and lifestyle activities) * Patients can be confident in the privacy of their de-identified data and the knowledge that PatientCrossroads does not sell patient data * Researchers and pharmaceutical companies have a larger, more easily accessible pool of potential patients for research studies and clinical trials targeting specific rare diseases * Pharmaceutical companies can collect post-market surveillance data in a more scalable and cost-effective manner * Rare disease advocacy and research foundations can more easily organize their global patient populations for inclusion in trials and studies | disease, treatment, clinical, patient, registry, drug discovery, clinical trial, research study, genetics, biorepository | is parent organization of: NF Registry | Rare disease | nlx_151889 | SCR_006279 | Patient Crossroads | 2026-08-11 09:41:18 | 3 | |||||||
|
Simulator for Neural Networks and Action Potentials Resource Report Resource Website 1+ mentions |
Simulator for Neural Networks and Action Potentials (RRID:SCR_006031) | software application, data or information resource, narrative resource, training material, software resource, simulation software | SNNAP (Simulator for Neural Networks and Action Potentials) is a tool for rapid development and simulation of realistic models of single neurons and neural networks. It includes mathematical descriptions of ion currents and intracellular second messengers and ions. In addition, you can simulate current flow in multicompartment models of neurons by using the equations describing electric coupling. SNNAP also includes mathematical descriptions of intracellular second messengers and ions, and simulate the modulation of membrane currents and synaptic transmission, , either enhancement or inhibition. Other advantages of SNNAP include: * Written in JAVA and can run on virtually any type of computer system. * Graphical user interface * Ability to simulate common experimental manipulations. * Modular organizations of input files. Agencies: NCRR, FOSR grant F49620-93-1-0272, as well as NIH grants R01-RR11626 and P01-NS38310 | has parent organization: University of Texas System; Texas; USA | nif-0000-00086 | SCR_006031 | SNNAP | 2026-08-11 09:41:15 | 5 | ||||||||||
|
Public Health Genomics Resource Report Resource Website 500+ mentions |
Public Health Genomics (RRID:SCR_006462) | portal, data or information resource, podcast, narrative resource, radio, training resource, organization portal | The Office of Public Health Genomics (OPHG) aims to integrate genomics into public health research, policy, and programs. Doing so could improve interventions designed to prevent and control the country''s leading chronic, infectious, environmental, and occupational diseases. OPHG''s efforts focus on conducting population-based genomic research, assessing the role of family health history in disease risk and prevention, supporting a systematic process for evaluating genetic tests, translating genomics into public health research and programs, and strengthening capacity for public health genomics in disease prevention programs. Goals: To improve public health interventions of diseases of major public health importance, including chronic, infectious, environmental, and occupational diseases, through six major initiatives: * Evaluation of Genomic Applications in Practice and Prevention (EGAPP), * Human Genome Epidemiology Network (HuGENet), * NHANES Collaborative Genomics Project, * Family History Public Health Initiative, * Genomics Translation Research and Programs, and, * Genomic Applications in Practice and Prevention Network (GAPPNet). | environmental, genetics, chronic, disease, genomic, health, infectious, occupational, prevention, research | has parent organization: Centers for Disease Control and Prevention | nif-0000-10186 | SCR_006462 | Genomics | 2026-08-11 09:41:24 | 885 | |||||||||
|
Bloomington Drosophila Stock Center Resource Report Resource Website 1000+ mentions |
Bloomington Drosophila Stock Center (RRID:SCR_006457) | BDSC | biomaterial supply resource, organism supplier, material resource | Collects, maintains and distributes Drosophila melanogaster strains for research. Emphasis is placed on genetic tools that are useful to a broad range of investigations. These include basic stocks of flies used in genetic analysis such as marker, balancer, mapping, and transposon-tagging strains; mutant alleles of identified genes, including a large set of transposable element insertion alleles; defined sets of deficiencies and a variety of other chromosomal aberrations; engineered lines for somatic and germline clonal analysis; GAL4 and UAS lines for targeted gene expression; enhancer trap and lacZ-reporter strains with defined expression patterns for marking tissues; and a collection of transposon-induced lethal mutations. | RIN, Resource Information Network, disease model, deficiency, deletion, transposon insertion, sequenced strain, duplication, protein trap, human disease model, transposon, fly, gene, genetic, genetic analysis, database, deficiency, germline, insertion, invertebrate, scientist, somatic, stock, transposon, mutation, genetic construct, FASEB list, RRID Community Authority |
is used by: Integrated Animals is listed by: One Mind Biospecimen Bank Listing is listed by: Resource Information Network is related to: One Mind Biospecimen Bank Listing is related to: NIF Data Federation has parent organization: Indiana University; Indiana; USA |
Human disease model | NIH Office of the Director P40 OD018537 | nif-0000-00241 | https://orip.nih.gov/comparative-medicine/programs/invertebrate-models | http://flystocks.bio.indiana.edu/bloomhome.htm | SCR_006457 | Bloomington Drosophila Stock Center at Indiana University | 2026-08-11 09:41:20 | 3419 | ||||
|
Society for Developmental Biology Resource Report Resource Website 1+ mentions |
Society for Developmental Biology (RRID:SCR_006299) | SDB | portal, meeting resource, data or information resource, training resource, journal article, community building portal | Non-profit professional society dedicated to advancement of the field of developmental biology. Excellence in research and education in developmental biology is fostered; advice and resources on careers in developmental biology is provided; and information for the public on relevant topics in developmental biology is provided. Perhaps most importantly, a communication hub for all developmental biologists is provided. The SDB is associated with the journal Developmental Biology; the SDB organizes scientific meetings that focus on developmental biology; the SDB has established programs to interface with the international community of developmental biologists; and the SDB maintains this society web site that covers all aspects of developmental biology. Membership includes developmental biologists at all stages of their careers from around the world. | developmental biology, development | nlx_151970 | http://www.sdbonline.org/index.php?option=com_content&task=section&id=5&Itemid=64 | SCR_006299 | 2026-08-11 09:41:23 | 1 | |||||||||
|
BioGrid Australia Resource Report Resource Website 100+ mentions |
BioGrid Australia (RRID:SCR_006334) | BioGrid Australia | service resource, analysis service resource, data or information resource, database, data analysis service, production service resource | A federated data sharing platform and infrastructure that provides access to real-time clinical, imaging and biospecimen data across jurisdictions, institutions and diseases. The web-based platform provides a secure infrastructure that advances health research by linking privacy-protected and ethically approved data among a wide network of health collaborators. Access to de-identified health records data is granted to authorized researchers after an application process so patient privacy and intellectual property are protected. BioGrid Australia''s approved researchers are provided access to multiple institutional databases, via the BioGrid interface, preventing gaps in patient records and research analysis. This legal and ethical arrangement with participating collaborators allows BioGrid to connect data through a common platform where data governance and access is managed by a highly skilled team. Data governance, security and ethics are at the core of BioGrid''s federated data sharing platform that securely links patient level clinical, biospecimen, genetic and imaging data sets across multiple sites and diseases for the purpose of medical research. BioGrid''s infrastructure and data management strategies address the increasing need by authorized researchers to dynamically extract and analyze data from multiple sources whilst protecting patient privacy. BioGrid has the capability to link data with other datasets, produce tailored reports for auditing and reporting and provide statistical analysis tools to conduct more advanced research analysis. In the health sector, BioGrid is a trusted independent virtual real-time data repository. Government investment in BioGrid has facilitated a combination of technology, collaboration and ethics approval processes for data sharing that exist nowhere else in the world. | endocrinology, neuroscience, imaging, medicine, oncology, population, cancer, cystic fibrosis, diabetes, pet, mri, clinical, respiratory, health, epilepsy, neuropsychiatry, data sharing, FASEB list | Cancer, Diabetes, Epilepsy, Cystic fibrosis, Respiratory disease, Multiple Sclerosis, Stroke, Bone density | Closed; Authorized researchers only. | nlx_152036, r3d100012476 | https://doi.org/10.17616/R3921N | http://www.biogrid.org.au/wps/portal | SCR_006334 | BioGrid Australia Limited | 2026-08-11 09:41:23 | 297 | |||||
|
Multi-Dimensional Human Embryo Resource Report Resource Website 1+ mentions |
Multi-Dimensional Human Embryo (RRID:SCR_006296) | Multidimensional Human Embryo | mri d image, image collection, video resource, atlas, reference atlas, data or information resource, data set | Complete three-dimensional data set of reference magnetic resonance microscopy (MRM) images of the human embryo representing 10 stages of development for each of 18 human embryos representing Carnegie stages 10 through 23, a critical embryonic time period for organogenesis. The users of the collection are able to manipulate the data on their own personal computers to view any slice from any plane of sectioning. Dynamic rotational views of whole embryos and time-lapse views of the growing embryo are accessible. Each embryo was imaged with three magnetic resonance pulse sequences to obtain fully-registered T1-weighted, T2-weighted, and diffusion-weighted image datasets. A complete set of coronal, sagittal, and axial images were produced from each image data set. Several major organs were isolated from each T1-weighted embryo data set using image segmentation methods and separate image data sets were created to represent each of these organs. Additionally, each embryo was optically photographed under a low-power microscope. The formalin-fixed specimens came from the highly respected Carnegie Collection of Human Embryos. This is the first distributable work to document in three dimensions the anatomy of the human embryonic time period. Pseudo- time-lapse movies were created using morphing software to represent the fourth dimension (time). Carnegie stages are a system used by embryologists to describe the apparent maturity of embryos. An embryo is assigned a Carnegie stage (numbered from 1 to 23) based on its external features. This staging system is not dependent on the chronological age nor the size of the embryo. The stages, are in a sense, arbitrary levels of maturity based on multiple physical features. Embryos that might have different ages or sizes can be assigned the same Carnegie stage based on their external appearance because of the natural variation which occurs between individuals. Postovulatory age is frequently used by clinicians to describe the maturity of an embryo. It refers to the length of time since the last ovulation before pregnancy. Postovulatory age is a good indication of embryonic age because the time of ovulation can be determined and fertilization must occur close to the time of ovulation. The terms gestation, pregnancy, and conception are usually avoided in describing embryonic age because fertilization is not universally accepted as the commencement of development (some consider implantation as the beginning of development). MRM was performed at the Center for In-vivo Microscopy at Duke University. Image processing and data managment was performed at the School of Art and Design, University of Michigan. | embryonic human, magnetic resonance imaging, development, carnegie stage, photo, animation, magnetic resonance microscopy |
is related to: Magnetic Resonance Microscopy of Mouse Embryo Specimens is related to: Brad Smith Magnetic Resonance Imaging of Embryos has parent organization: University of Michigan; Ann Arbor; USA |
NICHD | Available to any interested researcher, Student, Or clinician. | nlx_151965 | SCR_006296 | Multidimensional Human Embryo Project | 2026-08-11 09:41:19 | 2 |
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.
