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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | ||||||||||||||
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Proteomics Identifications (PRIDE) Resource Report Resource Website 500+ mentions |
Proteomics Identifications (PRIDE) (RRID:SCR_003411) | PRIDE | data or information resource, data repository, database, service resource, storage service resource | Centralized, standards compliant, public data repository for proteomics data, including protein and peptide identifications, post-translational modifications and supporting spectral evidence. Originally it was developed to provide a common data exchange format and repository to support proteomics literature publications. This remit has grown with PRIDE, with the hope that PRIDE will provide a reference set of tissue-based identifications for use by the community. The future development of PRIDE has become closely linked to HUPO PSI. PRIDE encourages and welcomes direct user submissions of protein and peptide identification data to be published in peer-reviewed publications. Users may Browse public datasets, use PRIDE BioMart for custom queries, or download the data directly from the FTP site. PRIDE has been developed through a collaboration of the EMBL-EBI, Ghent University in Belgium, and the University of Manchester. | proteomics, protein, peptide, mass spectrometry, annotation, standard, spectra, protein-protein interaction, amino acid, amino acid sequence, post-translational modification, biomart, bio.tools |
is used by: ProteomeXchange is used by: BioSample Database at EBI is recommended by: NIDDK Information Network (dkNET) is listed by: Biositemaps is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: HUPO Proteomics Standards Initiative is related to: ProteomeXchange has parent organization: European Bioinformatics Institute |
Wellcome Trust WT085949MA; European Union FP7 LSHG-CT-2006-036814; European Union FP7 260558; European Union FP7 262067; European Union FP7 202272; BBSRC BB/I024204/1 |
PMID:23203882 PMID:19662629 |
Free, Available for download, Freely available | nif-0000-03336, biotools:pride, r3d100011515 | https://www.ebi.ac.uk/pride/archive/, https://bio.tools/pride, https://doi.org/10.17616/R3F330 | SCR_003411 | SciCrunch Registry | PRoteomics IDEntifications database, PRIDE Archive - proteomics data repository, PRIDE Archive, PRIDE, Proteomics Identifications, Proteomics Identifications (PRIDE), PRoteomics IDEntifications database (PRIDE) | 2026-11-07 11:55:03 | 811 | ||||
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Syracuse University; Institute for Sensory Research Resource Report Resource Website |
Syracuse University; Institute for Sensory Research (RRID:SCR_003377) | ISR | data or information resource, portal, topical portal | The Institute for Sensory Research (ISR) defines itself as a world class research center dedicated to the discovery and application of knowledge of the sensory systems. Integration of engineering, life, and physical sciences, combining rigorous experimental methodology with mathematical analysis is stressed. Our multidisciplinary approach to bioengineering, sensory neuroscience, graduate, and undergraduate education, makes ISR a unique academic research center. At ISR, we study sensory systems, our gateways to the world. Our ears, eyes, skin, and mouth are channels through which we experience sound, light, texture, etc. These are functions that we usually take for granted until problems arise. Engineers, scientists, and students at ISR investigate both the basic sensory principles used by the brain, and also how the sensory systems can be best utilized, modified, and repaired if necessary to better communicate with our surroundings and with one another. In addition to basic research in hearing, touch, vision, and oro-facial biomechanics, recent projects include the design and testing of sensory-aid devices such as cochlear implants, hearing aids, ear protectors, and tactile aids for the visually and hearing impaired. Additional projects involve visual-depth perception, chewing and swallowing, oto-acoustic emissions, and personal care products such as oral rinses and skin lotions. Research * Auditory * Somatosensory * Vision | cochlea model, auditory, somatosensory, vision, eye, ear, skin, mouth, sensory system | Free, Freely available | nif-0000-01969 | https://library.syracuse.edu/digital/guides_sua/html/sua_sensory_research.htm | SCR_003377 | SciCrunch Registry | 2026-11-07 11:55:06 | 0 | ||||||||
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Honig Lab Resource Report Resource Website |
Honig Lab (RRID:SCR_003410) | Honig Lab | analysis service resource, data analysis service, data or information resource, data set, database, laboratory portal, organization portal, portal, production service resource, service resource, software resource | Laboratory portal, including software, web-based tools, databases and data sets, related to their research that focuses on the development and application of biophysical and bioinformatics methods aimed at understanding the structural and energetic origins of protein-protein, protein-nucleic acid, and protein-membrane interactions. Their work includes fundamental theoretical research, the development of software tools, and applications to problems of biological importance. In this regard they maintain an active collaborative computational and experimental research program on the molecular basis of cell-cell adhesion. Other problems of current interest include protein structure prediction, the organization of protein sequence/structure space, the prediction of protein function based on protein structure, the structural origins of specificity in protein-DNA interactions, RNA function and, more generally, the electrostatic properties of biological macromolecules. | electrostatic, function, adhesion, analysis, biological, biophysical, cell, dna, interaction, macromolecule, membrane, nucleic acid, protein, rna, sequence, specificity, structural, structure, protein structure, protein, protein-protein interaction, protein-nucleic acid interaction, protein-membrane interaction |
is listed by: Biositemaps has parent organization: Columbia University; New York; USA |
nif-0000-33026 | SCR_003410 | SciCrunch Registry | Honig Laboratory | 2026-11-07 11:55:18 | 0 | ||||||||
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Marquette University, Neuroscience Resource Report Resource Website |
Marquette University, Neuroscience (RRID:SCR_003404) | Marquette Neuroscience, Marquette Neuroscience Graduate Program | data or information resource, department portal, organization portal, portal | Neuroscience specialization in Graduate Program in Biological Sciences at Marquette University brings together researchers from Departments of Biological and Biomedical Sciences at Marquette to offer quality graduate education in the field of neuroscience with the goal of training students for careers as neuroscience researchers and educators. The specialization is for students who wish to pursue a Ph.D. degree. The collaborative and multi-disciplinary neuroscience research environment at Marquette is supported by the Integrative Neuroscience Research Center (INRC), a consortium of researchers committed to advancing neuroscience research and education at Marquette. The Neuroscience Graduate Program offers the opportunity to conduct research in a collaborative, intellectually rigorous environment, with access to the most modern research tools. | has parent organization: Marquette University College of Health Sciences; Wisconsin; USA | Free, Freely available | nif-0000-01990 | http://biology.marquette.edu/gradstudneuro/gettingstarted.htm, http://www.marquette.edu/chs/bisc/graduate.shtml | SCR_003404 | SciCrunch Registry | Marquette University Neuroscience Graduate Program, Marquette University College of Health Sciences Neuroscience Graduate Program, Marquette University College of Health Sciences Biomedical Sciences Neuroscience Graduate Program | 2026-11-07 11:54:56 | 0 | |||||||
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caTRIP Resource Report Resource Website 1+ mentions |
caTRIP (RRID:SCR_003409) | caTRIP | data analysis software, data processing software, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE documented June 4, 2013. Allows users to query across a number of caBIG data services, join on common data elements (CDEs), and view results in a user-friendly interface. With an initial focus on enabling outcomes analysis, caTRIP allows clinicians to query across data from existing patients with similar characteristics to find treatments that were administered with success. In doing so, caTRIP can help inform treatment and improve patient care, as well as enable the searching of available tumor tissue, enable locating patients for clinical trials, and enable investigating the association between multiple predictors and their corresponding outcomes such as survival caTRIP relies on the vast array of open source caBIG applications, including: * Tumor Registry, a clinical system that is used to collect endpoint data * cancer Text Information Extraction System (caTIES), a locator of tissue resources that works via the extraction of clinical information from free text surgical pathology reports. while using controlled terminologies to populate caBIG-compliant data structures * caTissue CORE, a tissue bank repository tool for biospecimen inventory, tracking, and basic annotation * Cancer Annotation Engine (CAE), a system for storing and searching pathology annotations * caIntegrator, a tool for storing, querying, and analyzing translational data, including SNP data Requires Java installation and network connectivity. | element, clinical, patient, structure, tissue, trial, tumor, common data element, clinician, data technician, java, outcomes research, ctsa | has parent organization: Cancer Biomedical Informatics Grid | NCI | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-33400 | SCR_003409 | SciCrunch Registry | 2026-11-07 11:54:56 | 2 | |||||||
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JobTarget Resource Report Resource Website |
JobTarget (RRID:SCR_003365) | JobTarget | job resource | JobTarget is the foundation upon which careers and companies are built. Our technology and services connect millions of job seekers to hundreds of thousands of companies through thousands of job boards. We facilitate faster, more meaningful connections by powering niche job sites that target specific audiences of talent, and providing technology and advertising solutions for employers to more quickly and cost-effectively locate the most qualified candidates for their openings. Explore our Products & Services to experience the JobTarget difference or check out Who We Serve to narrow in on the best solutions to serve you. | Free, Freely available | nlx_11196 | https://www.jobtarget.com/ | SCR_003365 | SciCrunch Registry | 2026-11-07 11:54:55 | 0 | |||||||||
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ALDEx2 Resource Report Resource Website 500+ mentions |
ALDEx2 (RRID:SCR_003364) | software resource | Software tool to examine compositional high-throughput sequence data with Welch's t-test. A differential relative count abundance analysis for the comparison of two conditions. For example, single-organism and meta-rna-seq high-throughput sequencing assays, or of selected and unselected values from in-vitro sequence selections. Uses a Dirichlet-multinomial model to infer abundance from counts, that has been optimized for three or more experimental replicates. Infers sampling variation and calculates the expected Benjamini-Hochberg false discovery rate given the biological and sampling variation using several parametric and non-parametric tests. Can to glm and Kruskal-Wallace tests on one-way ANOVA style designs. | standalone software, r, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: aldex has parent organization: Western University; Ontario; Canada |
PMID:24910773 | Free, Available for download, Freely available | biotools:aldex2, OMICS_04634 | https://bio.tools/aldex2 | SCR_003364 | SciCrunch Registry | 2026-11-07 11:55:06 | 609 | |||||||
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Georgetown, Neuroscience Resource Report Resource Website |
Georgetown, Neuroscience (RRID:SCR_003363) | Georgetown Neuroscience | data or information resource, department portal, organization portal, portal | Faculty of the Department of Neuroscience participate in the teaching of courses in the Interdisciplinary Program in Neuroscience and the School of Medicine. A Ph.D. in Neuroscience is offered through the Interdisciplinary Program in Neuroscience. Support for graduate training is offered through the Department, the research grants of individual faculty, as well as through three NIH training grants directed by Neuroscience faculty. * Training in Recovery of Function after CNS Injury. Program Director: Barbara S. Bregman, Ph.D. * Training Program in Drug Abuse. Program Director: Barbara S. Bayer, Ph.D. * Training in Neural Injury and Plasticity. Program Director: Jean R. Wrathall, Ph.D. Scientists in the Department of Neuroscience participate in a wide array of research activities with a focus on understanding both the normal and injured nervous system. The theme of neuroplasticity characterizes much of the research in the Department. We study neuroplasticity during normal development and in the adult in response to activity (e.g., learning) or drugs. Our research is also focused on studying the plasticity that ensues after traumatic (such as spinal cord injury) or ischemic damage to the nervous system and over the course of developmental or neurodegenerative diseases (such as Specific Language Impairment, autism, or Parkinson's and Alzheimer's Diseases). The specific research interests of each of the principal investigators falls under four broad subheadings: *CNS disorders ( Faden, Mocchetti, Rebeck, Riesenhuber,Ullman) *Cognitive/Computational (Riesenhuber, Ullman) *Development, Regeneration and recovery of function after injury (Bregman, Faden, Kromer, Ullman, Wrathall) *Neuroimmunology and Drugs of Abuse (Bayer, Faden, Kromer, Mocchetti) Under this common theme, a variety of diverse techniques and models are employed by the faculty. They range from molecular studies of gene function to studies on humans using Event-Related Potentials (ERPs) and functional MRI. Experimental models include cell culture systems, rodent genetic and experimental models of nervous system injury and disorders, as well as the use of computer simulations to understand higher cortical processing. | Free, Freely available | nif-0000-01954 | http://neuro.georgetown.edu/home.html | SCR_003363 | SciCrunch Registry | GUMC Department of Neuroscience, Georgetown University Medical Center; Department of Neuroscience, Georgetown Dept. of Neuroscience, GUMC Dept. of Neuroscience, Georgetown Department of Neuroscience | 2026-11-07 11:55:02 | 0 | ||||||||
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Malaria Ontology Resource Report Resource Website |
Malaria Ontology (RRID:SCR_003369) | IDOMAL | controlled vocabulary, data or information resource, ontology | An application ontology to cover all aspects of malaria (clinical, epidemiological, biological, etc) as well as the intervention attempts to control it, extending the infectious disease ontology (IDO). | obo, health, pathological, clinical, epidemiological, biological, intervention |
is listed by: BioPortal is listed by: OBO has parent organization: AnoBase: An Anopheles database |
Malaria | Free, Available for download, Freely available | nlx_157464 | http://purl.obolibrary.org/obo/idomal.obo, http://anobase.vectorbase.org/idomal/IDOMAL.obo | SCR_003369 | SciCrunch Registry | 2026-11-07 11:55:06 | 0 | ||||||
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Alberta Geological Survey Resource Report Resource Website |
Alberta Geological Survey (RRID:SCR_003402) | AGS | data or information resource, data set, portal | Portal of geological information, including geology maps, reports, and GIS datasets, to help with the exploration, development and conservation of Alberta's resources. | geology, alberta, report, map, bibliography, publication, gas, mineral, sand, gravel, groundwater, mineral core, sample, teacher, student | is listed by: re3data.org | Free, Freely available | nlx_157758 | https://ags.aer.ca/ | SCR_003402 | SciCrunch Registry | 2026-11-07 11:55:06 | 0 | |||||||
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Harvard University Neurobiology Resource Report Resource Website |
Harvard University Neurobiology (RRID:SCR_003368) | data or information resource, department portal, organization portal, portal | The mission of the Department of Neurobiology is to promote research and teaching that leads to a better understanding of the normal and diseased brain. The Department faculty are committed to training leaders of the next generation of neuroscientists, including graduate and medical students. Candidates for the Ph.D. in Neurobiology are admitted to the graduate Program in Neuroscience. This interdepartmental training program links the Department of Neurobiology with faculty in the Harvard affiliated hospitals and with faculty in other basic science departments. The Program, established in 1981, now includes about 90 investigators who participate in the training of Ph.D. candidates. Approximately fifteen students are accepted each year so that the steady state enrollment is usually about 80-90. This Program in Neuroscience attracts superb students with a broad range of interests from all areas of the globe. The goals of our training are to produce scientists who have explored one area and one level of analysis in great depth, but who are familiar with the full scope of neuroscience. They should be able to move from one level to another in a critical and creative manner. We also try to develop an appreciation for translational research that bears on human brain disease. The Department of Neurobiology, established in 1966 with Stephen W. Kuffler as Chair, was the first of its kind. The intent was to bring together members of traditional departments- physiologists, biochemists, and anatomists- in order to understand the principles governing communication between cells in the nervous system. This interdisciplinary approach was revolutionary at the time, and the interdisciplinary theme has continued to permeate the evolution of the field of neuroscience ever since. The Program in Neuroscience is one of four programs administered by the Division of Medical Sciences (DMS). DMS, located at the medical school, is a division of the Faculty of Arts and Sciences of Harvard University. | has parent organization: Harvard Medical School; Massachusetts; USA | Free, Freely available | nif-0000-01956 | SCR_003368 | SciCrunch Registry | Harvard Medical School Department of Neurobiology, Harvard Medical School Neurobiology, Harvard Neurobiology | 2026-11-07 11:55:02 | 0 | |||||||||
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RCircos Resource Report Resource Website 100+ mentions |
RCircos (RRID:SCR_003310) | software resource | Software package that provides a simple and flexible way to generate Circos 2D track plot images for genomic data visualization. The types of plots include: heatmap, histogram, lines, scatterplot, tiles and plot items for further decorations include connector, link (lines and ribbons), and text (gene) label. All functions require only R graphics package that comes with R base installation. | standalone software, unix/linux, mac os x, windows, r |
is listed by: OMICtools is related to: shinyCircoss has parent organization: CRAN has parent organization: Bitbucket |
PMID:23937229 | Free, Available for download, Freely available | OMICS_04661 | https://bitbucket.org/henryhzhang/rcircos/ | SCR_003310 | SciCrunch Registry | RCircos: Circos 2D Track Plot | 2026-11-07 11:55:15 | 285 | ||||||
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ddCt Resource Report Resource Website 100+ mentions |
ddCt (RRID:SCR_003396) | ddCt | software resource | Software package providing an approximation method to determine relative gene expression with quantitative real-time PCR (qRT-PCR) experiments. It requires no standard curve for each primer-target pair, therefore reducing the working load and yet returning accurate enough results as long as the assumptions of the amplification efficiency hold. The package implements a pipeline to collect, analyze and visualize qRT-PCR results, for example those from TaqMan SDM software, mainly using the ddCt method. The pipeline can be either invoked by a script in command-line or through the API consisting of S4-Classes, methods and functions. | differential expression, gene expression, microtitre plate assay, q-pcr |
is listed by: OMICtools has parent organization: Bioconductor |
Free, Available for download, Freely available | OMICS_02312 | SCR_003396 | SciCrunch Registry | Delta-Delta-Ct | 2026-11-07 11:55:02 | 328 | |||||||
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MedScan Resource Report Resource Website 10+ mentions |
MedScan (RRID:SCR_003314) | data acquisition software, data processing software, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 5, 2023. MedScan is a fast and flexible biomedical information extraction technology. It uses dictionaries to identify individual biomedical terms (proteins, cellular processes, small molecules, diseases, etc) referred to in literature articles, and applies advanced natural language processing techniques to detect the relationships within the article and extract these terms and the relationships; the overall process of detection, identification, extraction and assembling, is termed Information Harvesting. Information extracted by MedScan represents the multiple aspects of protein function, including protein modification, cellular localization, protein-protein interactions, gene expression regulation, molecular transport and synthesis, as well as association with diseases, and regulation of various cellular processes. This scope can be broadened by modifying information extraction rules and the dictionaries. Dictionaries can be assembled on any topic or area that is represented in the literature you wish to harvest. High-throughput data generation methodologies like microarray gene expression require new approaches for gathering information for data analysis. For the best results, computational approaches used for high-throughput data analysis require that biological information from the literature be a coherent and integrated part of the analysis software itself. Pathway Studio meets this challenge through its MedScan Technology and underlying ResNet database. All editions of Pathway Studio contain MedScan Technology to harvest information from the literature and to save this information in the Pathway Studio ResNet database ready for data analysis. MedScan is more than a web search engine. Indeed, the output of a Google search can be channeled into MedScan for example. Web searches, like Google, are excellent at finding items as a result of a query. A quick look at the output list usually locates the item for which you are looking. This approach however, is not well suited for information and knowledge gathering. Also, once information is gathered, where do you put it for later computational use? MedScan meets this challenge for the area of biomedical literature and biomedical online information. PubMed meets the needs for a central repository of biomedical literature. Researchers can go to PubMed and search for any topic and articles of interest, much like a web type of search. However, just like a web type of search, PubMed also provides a list of all the hits with a link to the articles. If a single article, or even just a few, are sought, this search approach is useful. Alternatively, MedScan will list all the articles of interest but additionally scans the text for relationships, highlights these relationships in the articles and then lists these relationships and the biological molecules and processes involved in the relationships in separate tables. The tables of relationships can be viewed graphically in Pathway Studio and can be saved into the ResNet database for use in experimental data analysis. | expression, function, article, biological, biomedical, cellular, dictionary, disease, information, literature, localization, medline interfaces, modification, molecule, process, protein, regulation, synthesis, technology, term, transport, FASEB list | PMID:15033866 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21259 | http://www.ariadnegenomics.com/products/medscan/reader/ | SCR_003314 | SciCrunch Registry | MedScan | 2026-11-07 11:55:15 | 37 | |||||||
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ggbio Resource Report Resource Website 10+ mentions |
ggbio (RRID:SCR_003313) | software resource | An R package for extending the grammar of graphics for genomic data. The graphics are designed to answer common scientific questions, in particular those often asked of high throughput genomics data. All core Bioconductor data structures are supported, where appropriate. The package supports detailed views of particular genomic regions, as well as genome-wide overviews. Supported overviews include ideograms and grand linear views. High-level plots include sequence fragment length, edge-linked interval to data view, mismatch pileup, and several splicing summaries. | standalone software, unix/linux, mac os x, windows, r, infrastructure, visualization, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Bioconductor |
PMID:22937822 | Free, Available for download, Freely available | biotools:ggbio, OMICS_04660 | http://www.tengfei.name/ggbio/, https://bio.tools/ggbio | SCR_003313 | SciCrunch Registry | ggbio - Visualization tools for genomic data | 2026-11-07 11:54:54 | 16 | ||||||
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deFuse Resource Report Resource Website 50+ mentions |
deFuse (RRID:SCR_003279) | data analysis software, data processing software, sequence analysis software, software application, software resource, software toolkit | Software package for gene fusion discovery using RNA-Seq data. It uses clusters of discordant paired end alignments to inform a split read alignment analysis for finding fusion boundaries. | rna sequencing, gene fusion, paired end alignment, split read, fusion boundary, bio.tools |
uses: SAMTOOLS uses: Bowtie uses: BLAT uses: GMAP uses: R Project for Statistical Computing is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: SourceForge |
British Columbia Cancer Foundation ; Vancouver General Hospital Foundation ; Genome Canada ; Michael Smith Foundation for Health Research ; Canadian Breast Cancer Foundation ; Canadian Institutes of Health Research's Bioinformatics Training Program |
PMID:21625565 | Free, Available for download, Freely available | biotools:defuse, OMICS_01345 | https://sourceforge.net/projects/defuse/, http://compbio.bccrc.ca/software/defuse/, https://bio.tools/defuse | http://sourceforge.net/apps/mediawiki/defuse/index.php?title=Main_Page | SCR_003279 | SciCrunch Registry | 2026-11-07 11:54:54 | 95 | |||||
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Volume image object AnNOtation System Resource Report Resource Website 1+ mentions |
Volume image object AnNOtation System (RRID:SCR_003393) | VANO | d visualization software, data processing software, image processing software, software application, software resource, source code | VANO is a Volume image object AnNOtation System for 3D multicolor image stacks, developed by Hanchuan Peng, Fuhui Long, and Gene Myers. VANO provides a well-coordinated way to annotate hundreds or thousands of 3D image objects. It combines 3D views of images and spread sheet neatly, and is just easy to manage 3D segmented image objects. It also lets you incorporate your segmentation priors, and lets you edit your segmentation results! This system has been used in building the first digital nuclei atlases of C. elegans at the post-embryonic stage (joint work with Stuart Kim lab, Stanford Univ), the single-neuron level fruit fly neuronal atlas of late embryos (with Chris Doe lab, Univ of Oregon, HHMI), and the compartment-level of digital map(s) of adult fruit fly brains (several labs at Janelia Farm, HHMI). VANO is cross-platform software. Currently the downloadable versions are for Windows (XP and Vista) and Mac (Intel-chip based, Leopard or Tiger OS). If you need VANO for different systems (such as 64bit or 32bit, Redhat Linux, Ubuntu, etc), you can either compile the software, or send an email to pengh (at) janelia.hhmi.org. VANO is Open-Source. You can download both the source code files and pre-complied versions at the Software Downloads page. | embryo, fruit fly, 3d, annotation, atlas, brain, neuron, neuronal, object, segmentation, software, image, nucleus, cell | has parent organization: Janelia Research | PMID:19189978 | Open unspecified license - please cite; needs a special license for any commercial purpose. | nif-0000-32984 | SCR_003393 | SciCrunch Registry | Volume-object annotation system (VANO), VANO - Volume image object AnNOtation System | 2026-11-07 11:54:56 | 8 | ||||||
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Mouse Biomedical Informatics Research Network Resource Report Resource Website |
Mouse Biomedical Informatics Research Network (RRID:SCR_003392) | MouseBIRN, mBIRN | atlas, data or information resource, data set, reference atlas | Animal model data primarily focused on mice including high resolution MRI, light and electron microscopic data from normal and genetically modified mice. It also has atlases, and the Mouse BIRN Atlasing Toolkit (MBAT) which provides a 3D visual interface to spatially registered distributed brain data acquired across scales. The goal of the Mouse BIRN is to help scientists utilize model organism databases for analyzing experimental data. Mouse BIRN has ended. The next phase of this project is the Mouse Connectome Project (https://www.nitrc.org/projects/mcp/). The Mouse BIRN testbeds initially focused on mouse models of neurodegenerative diseases. Mouse BIRN testbed partners provide multi-modal, multi-scale reference image data of the mouse brain as well as genetic and genomic information linking genotype and brain phenotype. Researchers across six groups are pooling and analyzing multi-scale structural and functional data and integrating it with genomic and gene expression data acquired from the mouse brain. These correlated multi-scale analyses of data are providing a comprehensive basis upon which to interpret signals from the whole brain relative to the tissue and cellular alterations characteristic of the modeled disorder. BIRN's infrastructure is providing the collaborative tools to enable researchers with unique expertise and knowledge of the mouse an opportunity to work together on research relevant to pre-clinical mouse models of neurological disease. The Mouse BIRN also maintains a collaborative Web Wiki, which contains announcements, an FAQ, and much more. | electron microscopy, expression, functional, gene, 3-dimentional, brain, cellular, disorder, genomic, genotype, mouse, neurodegenerative disease, phenotype, molecular neuroanatomy resource, mri, light microscopy, model organism, gene expression, atlas data, imaging genomics, magnetic resonance |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Mouse BIRN Atlasing Toolkit is related to: Mouse Connectome Project has parent organization: Biomedical Informatics Research Network |
Normal, Neurodegenerative disease, Multiple Sclerosis, Alzheimer's disease, Parkinson's disease | NIH ; Collaborative Tools Support Network Award ; NCRR 1U24-RR025736; NCRR U24-RR021992; NCRR U24-RR021760; NCRR 1U24-RR026057-01 |
Free, Available for download, Freely available | nif-0000-00200 | https://loni.usc.edu/research/software?name=MBATWA | http://www.loni.ucla.edu/BIRN/Projects/Mouse/index.shtml | SCR_003392 | SciCrunch Registry | Mouse BIRN | 2026-11-07 11:55:06 | 0 | |||
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Wellcome Trust Centre for Human Genetics Resource Report Resource Website 10+ mentions |
Wellcome Trust Centre for Human Genetics (RRID:SCR_003307) | WTCHG | data or information resource, portal, topical portal | An international leader in genetics, genomics and structural biology, and research institute of the Nuffield Department of Medicine at the University of Oxford, whose objective is to extend our understanding on how genetic inheritance makes us who we are in order to gain a clearer insight into mechanisms of health and disease. Looking across all three billion letters of the human genetic code, they aim to pinpoint variant spellings and discover how they increase or decrease an individual's risk of falling ill. They collaborate with research teams across the world on a number of large-scale studies in these areas. | genetics, genomics, structural biology |
has parent organization: University of Oxford; Oxford; United Kingdom is parent organization of: Happy is parent organization of: Wellcome-CTC Mouse Strain SNP Genotype Set is parent organization of: CHAoS is parent organization of: Platypus is parent organization of: Stampy is parent organization of: GWAMA is parent organization of: cortex var |
University of Oxford; Oxford; United Kingdom ; Wellcome Trust ; other sponsors |
Free, Freely available | nif-0000-31897 | SCR_003307 | SciCrunch Registry | 2026-11-07 11:55:05 | 49 | |||||||
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Dictyostelium Discoideum Anatomy Ontology Resource Report Resource Website |
Dictyostelium Discoideum Anatomy Ontology (RRID:SCR_003309) | DDANAT | controlled vocabulary, data or information resource | A structured controlled vocabulary of the anatomy of the slime-mould Dictyostelium discoideum. | obo, anatomy, organismal, cellular |
is listed by: BioPortal is listed by: OBO has parent organization: Dictyostelium discoideum genome database |
Free, Available for download, Freely available | nlx_157387 | http://obo.cvs.sourceforge.net/*checkout*/obo/obo/ontology/anatomy/gross_anatomy/microbial_gross_anatomy/dictyostelium/dictyostelium_anatomy.obo | SCR_003309 | SciCrunch Registry | Dictyostelium discoideum anatomy | 2026-11-07 11:54:54 | 0 |
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Data set from Kravitz, Owen and Kretizer's 2012 paper "Optogenetic identification of striatal projection neuron subtypes during in vivo recordings."
