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 | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Penn Alzheimer's Disease Center Resource Report Resource Website |
Penn Alzheimer's Disease Center (RRID:SCR_004444) | data or information resource, portal, disease-related portal, topical portal | A national Alzhiemer's disease research center funded by the National Institute on Aging, and the research arm of the Penn Memory Center. | alzheimer's disease, memory, dementia, late adult human, disease related portal |
has parent organization: University of Pennsylvania Center for Neurodegenerative Disease Research is parent organization of: University of Pennslyvania Brain Bank |
Alzheimer's disease, Dementia, Aging | National Institute on Aging | nlx_144494 | http://www.med.upenn.edu/cndr/pennsalzheimers.shtml | SCR_004444 | Penn Alzheimer's Disease Center, Penn ADC, University of Pennsylvania Alzheimer's Disease Center | 2026-08-14 09:24:59 | 0 | ||||||
|
Gene Expression Omnibus (GEO) Resource Report Resource Website 10000+ mentions |
Gene Expression Omnibus (GEO) (RRID:SCR_005012) | GEO | database, data repository, storage service resource, data or information resource, service resource | Functional genomics data repository supporting MIAME-compliant data submissions. Includes microarray-based experiments measuring the abundance of mRNA, genomic DNA, and protein molecules, as well as non-array-based technologies such as serial analysis of gene expression (SAGE) and mass spectrometry proteomic technology. Array- and sequence-based data are accepted. Collection of curated gene expression DataSets, as well as original Series and Platform records. The database can be searched using keywords, organism, DataSet type and authors. DataSet records contain additional resources including cluster tools and differential expression queries. | gold standard, genomics, data, repository, microarray, mRNA, DNA, protein, analysis, SAGE, mass spectrometry, dataset |
is used by: ChIPseeker is recommended by: National Library of Medicine is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is related to: Allen Institute for Brain Science has parent organization: NCBI works with: shinyGEO works with: Drug Gene Budger works with: Signaling Pathways Project works with: GEN3VA |
National Library of Medicine | PMID:23193258 PMID:21097893 PMID:18940857 PMID:17160034 PMID:17099226 PMID:16939800 PMID:16888359 PMID:15608262 PMID:11752295 |
r3d100010283, nif-0000-00142, nlx_96903, OMICS_01030, SCR_007303 | http://www.ncbi.nlm.nih.gov/sites/entrez?db=gds, http://www.ncbi.nlm.nih.gov/geo/, https://doi.org/10.17616/R33P44 | http://www.ncbi.nlm.nih.gov/gds | SCR_005012 | Gene Expression Omnibus (GEO), Entrez GEO DataSets, Gene Expression Data Sets, Gene Expression Omnibus, GEO, NCBI GEO DataSets, GEO DataSets, Gene Expression Omnibus DataSets | 2026-08-14 09:25:02 | 14348 | ||||
|
MEGSIM Resource Report Resource Website |
MEGSIM (RRID:SCR_002420) | MEGSIM | simulation software, data or information resource, software application, data set, software resource | Realistic simulated MEG datasets ranging from basic sensory to oscillatory sets that mimic functional connectivity; as well as basic visual, auditory, and somatosensory empirical sets. The simulated sets were created for the purpose of testing analysis algorithms across the different MEG systems when the truth is known. MEG baseline recordings were obtained from 5 healthy participants, using three MEG systems: VSM/CTF Omega, Elekta Neuromag Vectorview, 4-D Magnes 3600. Simulated signals were embedded within the CTF and Neuromag 306 baseline recordings (4-D to be added). Participant MRIs are available. Averaged simulation files are available as netcdf files. Neuromag 306 averaged simulations are also available in fif format. Also available: single trials of data where the simulated signal is jittered about a mean value, continuous fif files where the simulated signal is marked by a trigger, and simulations with oscillations added to mimic functional connectivity. | eeg, meg, electrocorticography, forward - inverse, mri, meg modeling, model, simulation, os independent, test data, image collection |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Mind Research Network |
NIMH R21MH080141 | PMID:22068921 | Free, Freely available | nlx_155793 | http://www.nitrc.org/projects/megsim | SCR_002420 | 2026-08-14 09:24:32 | 0 | |||||
|
SoyBase Resource Report Resource Website 500+ mentions |
SoyBase (RRID:SCR_005096) | SoyBase | database, production service resource, data repository, storage service resource, data analysis service, controlled vocabulary, data or information resource, ontology, service resource, analysis service resource | Professionally curated repository for genetics, genomics and related data resources for soybean that contains the most current genetic, physical and genomic sequence maps integrated with qualitative and quantitative traits. SoyBase includes annotated Williams 82 genomic sequence and associated data mining tools. The genetic and sequence views of the soybean chromosomes and the extensive data on traits and phenotypes are extensively interlinked. This allows entry to the database using almost any kind of available information, such as genetic map symbols, soybean gene names or phenotypic traits. The repository maintains controlled vocabularies for soybean growth, development, and traits that are linked to more general plant ontologies. Contributions to SoyBase or the Breeder''s Toolbox are welcome. | soybean, gene, genetic map, genome, data set, trait, phenotype, molecular biology, sequence, chromosome, quantitative trait locus, php, genetics, genomics, legume, bio.tools, FASEB list |
is listed by: 3DVC is listed by: re3data.org is listed by: Debian is listed by: bio.tools has parent organization: Iowa State University; Iowa; USA is parent organization of: Soybean Ontologies is parent organization of: Soy Ontology |
USDA Agricultural Research Service | PMID:20008513 | The community can contribute to this resource | nif-0000-03483, r3d100010846, biotools:soybase | https://bio.tools/soybase, https://doi.org/10.17616/R3S032 | SCR_005096 | SoyBase and the Soybean Breeder''s Toolbox, SoyBase and the Soybean Breeder''s Toolbox: Integrating Genetics and Molecular Biology for Soybean Researchers | 2026-08-14 09:25:05 | 830 | ||||
|
SNPeffect Resource Report Resource Website 50+ mentions |
SNPeffect (RRID:SCR_005091) | SNPeffect | database, production service resource, data analysis service, data or information resource, service resource, analysis service resource | A database for phenotyping human single nucleotide polymorphisms (SNPs)that primarily focuses on the molecular characterization and annotation of disease and polymorphism variants in the human proteome. They provide a detailed variant analysis using their tools such as: * TANGO to predict aggregation prone regions * WALTZ to predict amylogenic regions * LIMBO to predict hsp70 chaperone binding sites * FoldX to analyse the effect on structure stability Further, SNPeffect holds per-variant annotations on functional sites, structural features and post-translational modification. The meta-analysis tool enables scientists to carry out a large scale mining of SNPeffect data and visualize the results in a graph. It is now possible to submit custom single protein variants for a detailed phenotypic analysis., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | single nucleotide polymorphism, phenotyping, mutation, protein-coding variant, molecule, structure, phenotype, non-synonymous coding snp, allelic variation, gene, protein stability, functional site, protein phosphorylation, glycosylation, subcellular localization, protein turnover, protein aggregation, amyloidosis, chaperone interaction, protein variant, FASEB list |
is listed by: OMICtools has parent organization: Catholic University of Leuven; Flemish Brabant; Belgium |
PMID:22075996 PMID:18086700 PMID:16809394 PMID:15608254 |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00187, nif-0000-03480 | http://snpeffect.switchlab.org/ | SCR_005091 | SNPeffect 4 Phenotyping Human Mutations | 2026-08-14 09:25:05 | 62 | |||||
|
Nervous Tissue Color Images Resource Report Resource Website 10+ mentions |
Nervous Tissue Color Images (RRID:SCR_002416) | image collection, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 13,2026. An image collection of tissue from the central nervous system and peripheral nervous system. | central nervous system, peripheral nervous system, image collection, nervous tissue, color image | has parent organization: University of Delaware; Delaware; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21281 | SCR_002416 | University of Delaware Nervous Tissue Color Images, UD Nervous Tissue Color Images | 2026-08-14 09:24:32 | 16 | ||||||||
|
hmChIP Resource Report Resource Website 1+ mentions |
hmChIP (RRID:SCR_005407) | hmChIP | database, production service resource, data analysis service, data or information resource, service resource, analysis service resource | A database of genome-wide chromatin immunoprecipitation (ChIP) data in human and mouse. Currently, the database contains >2000 samples from >500 ChIP-seq and ChIP-chip experiments, representing a total of >170 proteins and >10,000,000 protein-DNA interactions (March 2014). A web server provides an interface for database query. Protein-DNA binding intensities can be retrieved from individual samples for user-provided genomic regions. The retrieved intensities can be used to cluster samples and genomic regions to facilitate exploration of combinatorial patterns, cell type dependencies, and cross-sample variability of protein-DNA interactions. | chromatin immunoprecipitation, chip-seq, chip-chip, protein, protein-dna interaction, binding intensity |
is listed by: OMICtools has parent organization: Johns Hopkins Bloomberg School of Public Health; Maryland; USA |
PMID:21450710 | The community can contribute to this resource | OMICS_00536 | SCR_005407 | 2026-08-14 09:25:05 | 5 | |||||||
|
Duke University, Pharmacology and Cancer Biology Resource Report Resource Website |
Duke University, Pharmacology and Cancer Biology (RRID:SCR_003342) | organization portal, data or information resource, department portal, portal | Department of Pharmacology and Cancer Biology spans two overlapping and broad disciplines, one exploring how chemical agents impact living cells and one seeking to understand how inappropriate responses to environmental molecules and internal cellular cues can lead to development of Cancer. Occupying Levine Science Research Center, Pharmacology and Cancer Biology department is dedicated to mentoring and training of graduate students and postdoctoral fellows.Innovative undergraduate program also allows students majoring in Biology or Chemistry at Duke to complete area specialization in Pharmacology, as well as offering courses in Pharmacology and Neuropharmacology for undergraduates. Department trains also students working towards Ph.D.s in Molecular Cancer Biology. Moreover, students enter our department through several university-wide multi-disciplinary programs including the Toxicology, Cell and Molecular Biology Program and the University Program in Genetics and Genomics. Our 23 faculty members are remarkably diverse and use all of the tools available to biomedical scientists to address questions critical to fundamental biology and human health. The faculty members share the common goal of exploiting cellular signaling pathways to address a myriad of important scientific questions relevant to cancer, metabolism, nervous system function, drugs of abuse and environmental toxicants. | has parent organization: Duke University; North Carolina; USA | Free, Freely available | nif-0000-01935 | https://pcb.duke.edu/ | SCR_003342 | Duke University Medical Center Pharmacology and Cancer Biology, PCB at Duke, Duke University Medical Center Pharmacology & Cancer Biology | 2026-08-14 09:24:49 | 0 | ||||||||
|
ConnectomeDB Resource Report Resource Website 50+ mentions |
ConnectomeDB (RRID:SCR_004830) | ConnectomeDB | image repository, database, data repository, storage service resource, data or information resource, image collection, service resource | Data management platform that houses all data generated by the Human Connectome Project - image data, clinical evaluations, behavioral data and more. ConnectomeDB stores raw image data, as well as results of analysis and processing pipelines. Using the ConnectomeDB infrastructure, research centers will be also able to manage Connectome-like projects, including data upload and entry, quality control, processing pipelines, and data distribution. ConnectomeDB is designed to be a data-mining tool, that allows users to generate and test hypotheses based on groups of subjects. Using the ConnectomeDB interface, users can easily search, browse and filter large amounts of subject data, and download necessary files for many kinds of analysis. ConnectomeDB is designed to work seamlessly with Connectome Workbench, an interactive, multidimensional visualization platform designed specifically for handling connectivity data. De-identified data within ConnectomeDB is publicly accessible. Access to additional data may be available to qualified research investigators. ConnectomeDB is being hosted on a BlueArc storage platform housed at Washington University through the year 2020. This data platform is based on XNAT, an open-source image informatics software toolkit developed by the NRG at Washington University. ConnectomeDB itself is fully open source. | brain, connectivity, human, adult human, evaluation, clinical, behavior, data set, diffusion imaging, resting-state fmri, task-evoked fmri, t1-weighted mri, t2-weighted mri, structural mapping, myelin mapping, magnetoencephalography, electroencephalography, fmri, twin |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: XNAT - The Extensible Neuroimaging Archive Toolkit has parent organization: Washington University in St. Louis; Missouri; USA works with: Connectome Workbench |
Healthy, Twin, Non-twin sibling | NIH Blueprint for Neuroscience Research ; Washington University in St. Louis; Missouri; USA ; McDonnell Center for Systems Neuroscience ; NIMH 1U54MH091657 |
PMID:22366334 | Account required, Open unspecified license, Acknowledgement required, See Data Use Terms, The community can contribute to this resource | nlx_143923 | SCR_004830 | 2026-08-14 09:25:03 | 63 | |||||
|
ChEA Resource Report Resource Website 100+ mentions |
ChEA (RRID:SCR_005403) | ChEA | database, production service resource, data analysis service, data or information resource, software application, software resource, service resource, analysis service resource | Data analysis service for gene-list enrichment analysis against a manual database. It allows users to input lists of mammalian gene symbols for which the program computes over-representation of transcription factor targets from the ChIP-X database. The database integrates interaction data from ChIP-chip, ChIP-seq, ChIP-PET and DamID studies and contains 189,933 interactions, manually extracted from 87 publications, describing the binding of 92 transcription factors to 31,932 target genes. | chip, transcription factor, interaction, mrna expression, gene, target gene, command-line, chip-chip, chip-seq |
is listed by: OMICtools has parent organization: Icahn School of Medicine at Mount Sinai; New York; USA |
PMID:20709693 | OMICS_00526 | SCR_005403 | ChIP Enrichment Analysis | 2026-08-14 09:25:21 | 280 | |||||||
|
Pathosystems Resource Integration Center Resource Report Resource Website 1000+ mentions |
Pathosystems Resource Integration Center (RRID:SCR_004154) | PATRIC | database, bioinformatics resource center, production service resource, data analysis service, data or information resource, service resource, analysis service resource | A Bioinformatics Resource Center bacterial bioinformatics database and analysis resource that provides researchers with an online resource that stores and integrates a variety of data types (e.g. genomics, transcriptomics, protein-protein interactions (PPIs), three-dimensional protein structures and sequence typing data) and associated metadata. Datatypes are summarized for individual genomes and across taxonomic levels. All genomes, currently more than 10 000, are consistently annotated using RAST, the Rapid Annotations using Subsystems Technology. Summaries of different data types are also provided for individual genes, where comparisons of different annotations are available, and also include available transcriptomic data. PATRIC provides a variety of ways for researchers to find data of interest and a private workspace where they can store both genomic and gene associations, and their own private data. Both private and public data can be analyzed together using a suite of tools to perform comparative genomic or transcriptomic analysis. PATRIC also includes integrated information related to disease and PPIs. The PATRIC project includes three primary collaborators: the University of Chicago, the University of Manchester, and New City Media. The University of Chicago is providing genome annotations and a PATRIC end-user genome annotation service using their Rapid Annotation using Subsystem Technology (RAST) system. The National Centre for Text Mining (NaCTeM) at the University of Manchester is providing literature-based text mining capability and service. New City Media is providing assistance in website interface development. An FTP server and download tool are available. | genomics, genome, transcriptomics, protein-protein interaction, sequence typing, proteobacteria, brucella, rickettsia, coxiella, coronavirus, calicivirus, lyssavirus, virus, hepatitis a, hepatitis e, pathway, proteome, metabolic pathway, drug, vaccine, diagnostics, FASEB list |
is listed by: OMICtools has parent organization: Virginia Polytechnic Institute and State University; Virginia; USA |
NIAID | PMID:24225323 PMID:17142235 |
Free, Public, Acknowledgement requested | r3d100010142, OMICS_01658, nlx_17476 | http://patricbrc.vbi.vt.edu/portal/portal/patric/Home, https://doi.org/10.17616/R3WS3X | http://patric.vbi.vt.edu/ | SCR_004154 | PathoSystems Resource Integration Center, PATRIC, Pathosystems Resource Integration Center | 2026-08-14 09:24:57 | 1114 | |||
|
Brain-Art Competition Resource Report Resource Website |
Brain-Art Competition (RRID:SCR_005360) | Brain-Art Competition | image, data or information resource, portal, topical portal | An annual Brain-Art Competition to recognize the beauty and creativity of artistic renderings emerging from the neuroimaging community. Submission deadline: June 1st, 2012. Awards will be announced on June 11th during the OHBM conference in Beijing. (You need not be present to win) Countless hours are devoted to creation of informative visualizations for communicating neuroscientific findings. This competition once again aims to recognize the artistic creativity of our community that often goes underappreciated in the publication process. We are inviting researchers to submit their favorite unpublished works for entry. Both team and single-person entries are welcomed. The competition will have five award categories: # Best Representation of the Human Connectome # Best Abstract Brain Illustration # Best Educational Brain Illustration # Best Humorous Brain Illustration # Best Video Illustration of the Brain Submissions will be evaluated based on their aesthetic merit | neuroimaging, competition, data set, illustration, brain, art | has parent organization: Neuro Bureau | nlx_144427 | SCR_005360 | Neuro Bureau Brain-Art Competition | 2026-08-14 09:25:07 | 0 | ||||||||
|
Inter-Group Registration Toolbox Resource Report Resource Website |
Inter-Group Registration Toolbox (RRID:SCR_002404) | InterGroupReg | image analysis software, data processing software, registration software, software application, software resource | Software package that provides solutions for registering two groups of images, which are the necessary steps for many brain-related applications. | magnetic resonance |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of North Carolina at Chapel Hill School of Medicine; North Carolina; USA |
Free, Available for download, Freely available | nlx_155777 | http://www.nitrc.org/projects/intergroupreg | SCR_002404 | 2026-08-14 09:24:30 | 0 | |||||||
|
Arrowsmith Resource Report Resource Website 1+ mentions |
Arrowsmith (RRID:SCR_002523) | project portal, portal, data or information resource, software application, software resource, text-mining software | Portal for documenting the Arrowsmith project and developing text mining tools for scientific, and specifically neuroscience, literature. It also contains a search functions that identifies similar concepts between two articles. | data mining software, neuroscience literature, text mining, project portal | has parent organization: University of Illinois at Chicago; Illinois; USA | National Library of Medicine ; National Institute of Mental Health |
PMID:19185946 | Free, Freely available | nif-0000-00126 | SCR_002523 | Arrowsmith Project | 2026-08-14 09:24:32 | 3 | ||||||
|
Predictions for Entire Proteomes Resource Report Resource Website 500+ mentions |
Predictions for Entire Proteomes (RRID:SCR_002803) | data processing software, web application, software application, data analysis software, software resource, sequence analysis software | Web application for sequence analysis and the prediction of protein structure and function. The user interface intakes protein sequences or alignments and returned multiple sequence alignments, motifs, and nuclear localization signals., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 15,2026. | sequence analysis database, protein structure prediction, protein structure, protein function, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools has parent organization: Columbia University; New York; USA |
BMBF | PMID:24799431 DOI:10.1093/nar/gkh377 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00136, OMICS_07135, biotools:predictprotein | https://bio.tools/predictprotein, https://sources.debian.org/src/predictprotein/ | http://cubic.bioc.columbia.edu/pep/ | SCR_002803 | PredictProtein | 2026-08-14 09:24:38 | 643 | ||||
|
OpenSim Resource Report Resource Website 500+ mentions |
OpenSim (RRID:SCR_002683) | software application, simulation software, software resource | OpenSim is an open-source software system that lets users develop models of musculoskeletal structures and create dynamic simulations of movement. The software provides a platform on which the biomechanics community can build a library of simulations that can be exchanged, tested, analyzed, and improved through multi-institutional collaboration. The underlying software is written in ANSI C++, and the graphical user interface (GUI) is written in Java. OpenSim technology makes it possible to develop customized controllers, analyses, contact models, and muscle models among other things. These plugins can be shared without the need to alter or compile source code. Users can analyze existing models and simulations and develop new models and simulations from within the GUI. | muscle-driven simulation, musculoskeletal biomechanics, neuromuscular simulation, modeling software, simulation software |
is related to: Simtk.org is related to: Neuromuscular Models Library has parent organization: Stanford University; Stanford; California |
Simbios ; NIGMS U54 GM072970; DARPA |
Public, Free, Acknowledgement requested | nif-0000-23308 | https://simtk.org/home/opensim, http://opensim.stanford.edu/support/index.html | SCR_002683 | 2026-08-14 09:24:42 | 612 | |||||||
|
SOURCE Resource Report Resource Website 50+ mentions |
SOURCE (RRID:SCR_005799) | SOURCE | database, production service resource, data analysis service, data or information resource, service resource, analysis service resource | SOURCE compiles information from several publicly accessible databases, including UniGene, dbEST, UniProt Knowledgebase, GeneMap99, RHdb, GeneCards and LocusLink. GO terms associated with LocusLink entries appear in SOURCE. The mission of SOURCE is to provide a unique scientific resource that pools publicly available data commonly sought after for any clone, GenBank accession number, or gene. SOURCE is specifically designed to facilitate the analysis of large sets of data that biologists can now produce using genome-scale experimental approaches Platform: Online tool | genomic, functional annotation, ontology, gene expression, gene, genome, statistical analysis, bio.tools, FASEB list |
is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: SMD |
NIGMS ; NCI CA85129-04; NIGMS GM07365 |
PMID:12519986 | Restricted | biotools:source, nlx_149287 | https://login.stanford.edu/idp/profile/SAML2/Redirect/SSO?execution=e1s1, https://bio.tools/source | SCR_005799 | 2026-08-14 09:25:11 | 69 | |||||
|
Gene Class Expression Resource Report Resource Website 1+ mentions |
Gene Class Expression (RRID:SCR_005679) | Gene Class | database, production service resource, data analysis service, data or information resource, service resource, analysis service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 29, 2012. Gene Class Expression allows functional annotation of SAGE data using the Gene Ontology database. This tool performs searches in the GO database for each SAGE tag, making associations in the selected GO category for a level selected in the hierarchy. This system provides user-friendly data navigation and visualization for mapping SAGE data onto the gene ontology structure. This tool also provides graphical visualization of the percentage of SAGE tags in each GO category, along with confidence intervals and hypothesis testing. Platform: Online tool | serial analysis of gene expression, functional annotation, annotation, gene expression, tag classification, gene ontology, gene, ontology, browser, ontology or annotation browser |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Sao Paulo; Sao Paulo; Brazil |
Center for Cell-Based Therapy/FAPESP ; CNPq |
PMID:16755502 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149119 | http://gdm.fmrp.usp.br/cgi-bin/gc/upload/upload.pl | SCR_005679 | GC Browser, Gene Classification Browser Tool, Gene Class expression: analysis tool of Gene Ontology terms with gene expression data | 2026-08-14 09:25:22 | 1 | ||||
|
Science Careers Resource Report Resource Website |
Science Careers (RRID:SCR_005156) | Science Careers | data or information resource, narrative resource, job resource | The journal Science is one of the most prestigious and widely cited scientific journals in the world. Founded by Thomas Edison in 1880, Science has been publishing breaking news and seminal research for more than 125 years. Science Careers is the careers component of Science that scientists rely on for career information and job postings. Science Careers offers a wide variety of content designed to assist scientists of all disciplines, backgrounds and experience levels navigate their career path. This includes over 3,000 job listings that are updated daily, thousands of career advice articles written by the Science Careers editorial staff, graduate program information, meetings and event information, funding opportunities on GrantsNet, and a Career Forum where scientists can join a community of experts and peers engaging in real time discussions around career issues. For employers, Science Careers provides multiple platforms for recruiting scientists and extending their employment brand including job postings, banner advertisements, email and newsletters and sponsorships. | job seeker, employer, career, employment, job posting, resume, database, community building portal, data storage repository, postdoctoral program resource |
is used by: NIF Data Federation is related to: Integrated Jobs |
The materials on this Website are protected by United States copyright law except that no copyright is claimed in any work of the US government. For personal, Noncommercial use only. Except where otherwise permitted, Any further reproduction, Distribution, Transmission, Display, Publication, Or broadcast requires the prior written permission of The American Association for the Advancement of Science. | nlx_144181 | SCR_005156 | 2026-08-14 09:25:19 | 0 | ||||||||
|
JCVI CMR Resource Report Resource Website 10+ mentions |
JCVI CMR (RRID:SCR_005398) | JCVI_CMR, JCVI CMR, TIGR_CMR, TIGR CMR | database, production service resource, data analysis service, data or information resource, service resource, analysis service resource | Database of all of the publicly available, complete prokaryotic genomes. In addition to having all of the organisms on a single website, common data types across all genomes in the CMR make searches more meaningful, and cross genome analysis highlight differences and similarities between the genomes. CMR offers a wide variety of tools and resources, all of which are available off of our menu bar at the top of each page. Below is an explanation and link for each of these menu options. * Genome Tools: Find organism lists as well as summary information and analyses for selected genomes. * Searches: Search CMR for genes, genomes, sequence regions, and evidence. * Comparative Tools: Compare multiple genomes based on a variety of criteria, including sequence homology and gene attributes. SNP data is also found under this menu. * Lists: Select and download gene, evidence, and genomic element lists. * Downloads: Download gene sequences or attributes for CMR organisms, or go to our FTP site. * Carts: Select genome preferences from our Genome Cart or download your Gene Cart genes. The Omniome is the relational database underlying the CMR and it holds all of the annotation for each of the CMR genomes, including DNA sequences, proteins, RNA genes and many other types of features. Associated with each of these DNA features in the Omniome are the feature coordinates, nucleotide and protein sequences (where appropriate), and the DNA molecule and organism with which the feature is associated. Also available are evidence types associated with annotation such as HMMs, BLAST, InterPro, COG, and Prosite, as well as individual gene attributes. In addition, the database stores identifiers from other centers such as GenBank and SwissProt, as well as manually curated information on each genome or each DNA molecule including website links. Also stored in the Omniome are precomputed homology data, called All vs All searches, used throughout the CMR for comparative analysis. | microbial, prokaryotic, genome, annotation, dna sequence, protein, rna gene, blast, FASEB list |
is used by: NIF Data Federation is related to: AmiGO has parent organization: J. Craig Venter Institute is parent organization of: JCVI GenProp |
NSF ; NIAID ; DOE |
Free | nif-0000-03555 | SCR_005398 | JCVI Comprehensive Microbial Resource, J. Craig Venter Institute Comprehensive Microbial Resource, CMR, Comprehensive Microbial Resource | 2026-08-14 09:25:07 | 37 |
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.
