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 | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
3D Ribosomal Modification Maps Database Resource Report Resource Website 1+ mentions |
3D Ribosomal Modification Maps Database (RRID:SCR_003097) | 3D rRNA modification maps | data or information resource, database | Database of maps showing the sites of modified rRNA nucleotides. Access to the rRNA sequences, secondary structures both with modification sites indicated, 3D modification maps and the supporting tables of equivalent nucleotides for rRNA from model organisms including yeast, arabidopsis, e. coli and human is provided. This database complements the Yeast snoRNA Database at UMass-Amherst and relies on linking to some content from that database, as well as to others by colleagues in related fields. Therefore, please be very cognizant as to the source when citing information obtained herein. Locations of modified rRNA nucleotides within the 3D structure of the ribosome. | human, plant, arabidopsis, ribosome, eukaryote, eubacteria, archaea, eukarya |
is related to: Yeast snoRNA Database has parent organization: University of Massachusetts Amherst; Massachusetts; USA |
U.S. Public Health Service ; NIGMS GM19351 |
PMID:17947322 | Free, Freely available | nif-0000-00552 | SCR_003097 | 2026-09-12 01:01:28 | 2 | ||||||
|
MITOMAP - A human mitochondrial genome database Resource Report Resource Website 100+ mentions |
MITOMAP - A human mitochondrial genome database (RRID:SCR_002996) | MITOMAP | data or information resource, database | Database of polymorphisms and mutations of the human mitochondrial DNA. It reports published and unpublished data on human mitochondrial DNA variation. All data is curated by hand. If you would like to submit published articles to be included in mitomap, please send them the citation and a pdf. | gene, genome, diabetes, disease, disease-association, high resolution screening, human, inversion, metabolism, mitochondrial dna, mutation, phenotype, polymorphism, polypeptide assignment, pseudogene, restriction site, rna, sequence, trna, unpublished, variation, mitochondria, dna, insertion, deletion, FASEB list |
is used by: HmtVar is listed by: OMICtools is related to: Hereditary Hearing Loss Homepage has parent organization: Childrens Hospital of Philadelphia - Research Institute; Pennsylvania; USA has parent organization: Emory University School of Medicine; Atlanta; Georgia; USA |
NIH ; Muscular Dystrophy Foundation ; Ellison Foundation ; Diputacion General de Aragon Grupos consolidados B33 ; NIGMS GM46915; NINDS NS21328; NHLBI HL30164; NIA AG10130; NIA AG13154; NINDS NS213L8; NHLBI HL64017; NIH Biomedical Informatics Training Grant T15 LM007443; NSF EIA-0321390; Spanish Fondo de Investigacion Sanitaria PI050647; Ciber Enfermedades raras CB06/07/0043 |
PMID:17178747 PMID:15608272 PMID:9399813 PMID:9016535 PMID:8594574 |
Except where otherwise noted, Creative Commons Attribution License, The community can contribute to this resource | nif-0000-00511, OMICS_01641 | SCR_002996 | 2026-09-12 01:01:27 | 405 | ||||||
|
MiST - Microbial Signal Transduction database Resource Report Resource Website 10+ mentions |
MiST - Microbial Signal Transduction database (RRID:SCR_003166) | MiST | data or information resource, database | Database which contains the signal transduction proteins for complete and draft bacterial and archaeal genomes. The MiST2 database identifies and catalogs the repertoire of signal transduction proteins in microbial genomes. | signal transduction proteins, bacterial genome, archaeal genome, microbial genome, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: University of Tennessee Knoxville; Tennessee; USA |
South Carolina Research Association ; DOE Office of Science ; NIH ; NIGMS GM083177 |
PMID:19900966 | Free, Freely available | biotools:mist, nif-0000-03140 | https://bio.tools/mist | SCR_003166 | MiST 2.2, Microbial Signal Transduction Database, Microbial Signal Transduction database (MiST), MiST2 | 2026-09-12 01:01:28 | 35 | ||||
|
Zebrafinch Brain Architecture Project Resource Report Resource Website 1+ mentions |
Zebrafinch Brain Architecture Project (RRID:SCR_004277) | Zebrafinch Brain Architecture Project | atlas, data or information resource | Atlas of high resolution Nissl stained digital images of the brain of the zebra finch, the mainstay of songbird research. The cytoarchitectural high resolution photographs and atlas presented here aim at facilitating electrode placement, connectional studies, and cytoarchitectonic analysis. This initial atlas is not in stereotaxic coordinate space. It is intended to complement the stereotaxic atlases of Akutegawa and Konishi, and that of Nixdorf and Bischof. (Akutagawa E. and Konishi M., stereotaxic atalas of the brain of zebra finch, unpublished. and Nixdorf-Bergweiler B. E. and Bischof H. J., A Stereotaxic Atlas of the Brain Of the Zebra Finch, Taeniopygia Guttata, http://www.ncbi.nlm.nih.gov.) The zebra finch has proven to be the most widely used model organism for the study of the neurological and behavioral development of birdsong. A unique strength of this research area is its integrative nature, encompassing field studies and ethologically grounded behavioral biology, as well as neurophysiological and molecular levels of analysis. The availability of dimensionally accurate and detailed atlases and photographs of the brain of male and female animals, as well as of the brain during development, can be expected to play an important role in this research program. Traditionally, atlases for the zebra finch brain have only been available in printed format, with the limitation of low image resolution of the cell stained sections. The advantages of a digital atlas over a traditional paper-based atlas are three-fold. * The digital atlas can be viewed at multiple resolutions. At low magnification, it provides an overview of brain sections and regions, while at higher magnification, it shows exquisite details of the cytoarchitectural structure. * It allows digital re-slicing of the brain. The original photographs of brain were taken in certain selected planes of section. However, the brains are seldom sliced in exactly the same plane in real experiments. Re-slicing provides a useful atlas in user-chosen planes, which are otherwise unavailable in the paper-based version. * It can be made available on the internet. High resolution histological datasets can be independently evaluated in light of new experimental anatomical, physiological and molecular studies. | nissl stain, sagittal, horizontal plane, transverse plane, myelin stain, brain | has parent organization: Brain Architecture Project | W. M. Keck Foundation ; Crick-Clay Professorship ; NINDS NS50436; NIGMS R24 GM092842 |
nlx_143663 | SCR_004277 | 2026-09-12 01:01:31 | 5 | ||||||||
|
bioPIXIE Resource Report Resource Website 1+ mentions |
bioPIXIE (RRID:SCR_004182) | bioPIXIE | analysis service resource, data analysis service, production service resource, service resource | bioPIXIE is a general system for discovery of biological networks through integration of diverse genome-wide functional data. This novel system for biological data integration and visualization, allows you to discover interaction networks and pathways in which your gene(s) (e.g. BNI1, YFL039C) of interest participate. The system is based on a Bayesian algorithm for identification of biological networks based on integrated diverse genomic data. To start using bioPIXIE, enter your genes of interest into the search box. You can use ORF names or aliases. If you enter multiple genes, they can be separated by commas or returns. Press ''submit''. bioPIXIE uses a probabilistic Bayesian algorithm to identify genes that are most likely to be in the same pathway/functional neighborhood as your genes of interest. It then displays biological network for the resulting genes as a graph. The nodes in the graph are genes (clicking on each node will bring up SGD page for that gene) and edges are interactions (clicking on each edge will show evidence used to predict this interaction). Most likely, the first results to load on the results page will be a list of significant Gene Ontology terms. This list is calculated for the genes in the biological network created by the bioPIXIE algorithm. If a gene ontology term appears on this list with a low p-value, it is statistically significantly overrepresented in this biological network. As you move the mouse over genes in the network, interactions involving these genes are highlighted. If you click on any of the highlighted interactions graph, evidence pop-up window will appear. The Evidence pop-up lists all evidence for this interaction, with links to the papers that produced this evidence - clicking these links will bring up the relevant source citation(s) in PubMed. You may need to download the Adobe Scalable Vector Graphic (SVG) plugin to utilize the visualization tool (you will be prompted if you need it). | prediction, bayesian network, probabilistic, interaction, network | has parent organization: Princeton University; New Jersey; USA | NHGRI T32 HG003284; NIGMS R01 GM071966; NHGRI R01 HG003471; NIGMS P50 GM071508; NSF DGE-9972930; NSF IIS-0513552 |
PMID:16420673 | nlx_20893 | SCR_004182 | biological Process Inference from eXperimental Interaction Evidence | 2026-09-12 01:01:30 | 1 | ||||||
|
LIPID MAPS Structure Database Resource Report Resource Website 10+ mentions |
LIPID MAPS Structure Database (RRID:SCR_003817) | LMSD | data or information resource, database | Collection of structures and annotations of biologically relevant lipids that contains unique lipid structures. Structures of lipids from : LIPID MAPS Consortium's core laboratories and partners; lipids identified by LIPID MAPS experiments; biologically relevant lipids manually curated from LIPID BANK, LIPIDAT, Lipid Library, Cyberlipids, ChEBI and other public sources; novel lipids submitted to peer-reviewed journals; and computationally generated structures for appropriate classes. All the lipid structures adhere to the structure drawing rules proposed by the LIPID MAPS consortium. A number of structure viewing options are offered: gif image (default), Chemdraw (requires Chemdraw ActiveX/Plugin), MarvinView (Java applet) and JMol (Java applet). All lipids have been classified using the LIPID MAPS Lipid Classification System. Each lipid structure has been assigned a LIPID MAPS ID (LM_ID) which reflects its position in the classification hierarchy. In addition to a classification-based retrieval of lipids, users can search using either text-based or structure-based search options. | fatty acyl, glycerolipid, glycerophospholipid, sphingolipid, sterol lipid, prenol lipid, sacccharolipid, polyketide, lipid, structure, image, annotation, metabolomics | has parent organization: LIPID Metabolites And Pathways Strategy | NIGMS | PMID:17098933 | Public, Free, Acknowledgement required, Non-commercial, Copyrighted | nlx_158117 | SCR_003817 | LIPID MAPS Structure Database (LMSD) | 2026-09-12 01:01:29 | 24 | |||||
|
IntegromeDB Resource Report Resource Website 1+ mentions |
IntegromeDB (RRID:SCR_004620) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented May 26, 2016. Search engine that integrates over 100 curated and publicly contributed data sources and provides integrated views on the genomic, proteomic, transcriptomic, genetic and functional information currently available. Information featured in the database includes gene function, orthologies, gene expression, pathways and protein-protein interactions, mutations and SNPs, disease relationships, related drugs and compounds. | catalog, search engine, gene, protein, gene regulation, gene expression, protein-protein interaction, pathway, metagenomics, mutation, disease, transcriptional regulation, genomics, transcriptomics, genetics, function, interaction, ortholog |
is related to: ABS: A Database of Annotated Regulatory Binding Sites From Orthologous Promoters has parent organization: University of California at San Diego; California; USA |
NIH ; NIGMS R01 GM084881 |
PMID:22260095 PMID:20427517 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_63198 | SCR_004620 | Integrome DB | 2026-09-12 01:01:33 | 3 | ||||||
|
ProFunc Resource Report Resource Website 50+ mentions |
ProFunc (RRID:SCR_004450) | ProFunc | analysis service resource, data analysis service, production service resource, service resource | The ProFunc server had been developed to help identify the likely biochemical function of a protein from its three-dimensional structure. It uses both sequence- and structure-based methods including fold matching, residue conservation, surface cleft analysis, and functional 3D templates, to identify both the protein''''s likely active site and possible homologues in the PDB. Often, where one method fails to provide any functional insight another may be more helpful. You can submit your own structure, analyze an existing PDB entry, or retrieve the results of a previously submitted run. The files are usually stored for about 6 months before being deleted. However, they are stored on a partition that is not backed up; so, in principle, they could disappear at any time. | gold standard |
is related to: PDBsum has parent organization: European Bioinformatics Institute |
DOE contract W-31-109-Eng-38; NIGMS GM62414; European Union FP6 contract LHSG-CT-2003-503265 |
PMID:15980588 PMID:16019027 |
nlx_44430 | SCR_004450 | ProFunc - prediction of protein function from 3D structure, ProFunc: Analysis of a protein''''s 3D structure to help identify its likely biochemical function | 2026-09-12 01:01:32 | 72 | ||||||
|
Phenologs Resource Report Resource Website 1+ mentions |
Phenologs (RRID:SCR_005529) | Phenologs | data or information resource, database | Database for identifying orthologous phenotypes (phenologs). Mapping between genotype and phenotype is often non-obvious, complicating prediction of genes underlying specific phenotypes. This problem can be addressed through comparative analyses of phenotypes. We define phenologs based upon overlapping sets of orthologous genes associated with each phenotype. Comparisons of >189,000 human, mouse, yeast, and worm gene-phenotype associations reveal many significant phenologs, including novel non-obvious human disease models. For example, phenologs suggest a yeast model for mammalian angiogenesis defects and an invertebrate model for vertebrate neural tube birth defects. Phenologs thus create a rich framework for comparing mutational phenotypes, identify adaptive reuse of gene systems, and suggest new disease genes. To search for phenologs, go to the basic search page and enter a list of genes in the box provided, using Entrez gene identifiers for mouse/human genes, locus ids for yeast (e.g., YHR200W), or sequence names for worm (e.g., B0205.3). It is expected that this list of genes will all be associated with a particular system, trait, mutational phenotype, or disease. The search will return all identified model organism/human mutational phenotypes that show any overlap with the input set of the genes, ranked according to their hypergeometric probability scores. Clicking on a particular phenolog will result in a list of genes associated with the phenotype, from which potential new candidate genes can identified. Currently known phenotypes in the database are available from the link labeled ''Find phenotypes'', where the associated gene can be submitted as queries, or alternately, can be searched directly from the link provided. | gene, phenotype, ortholog, genotype, human, mouse, yeast, worm | has parent organization: University of Texas at Austin; Texas; USA | Texas Advanced Research Program ; Welch Foundation ; Packard Fellowship ; March of Dimes ; Texas Institute for Drug and Diagnostic Development ; NSF ; NIH ; NIGMS |
PMID:20308572 | nlx_144624 | SCR_005529 | phenologs.org, Phenologs - Systematic discovery of non-obvious disease models and candidate genes | 2026-09-12 01:01:38 | 4 | ||||||
|
SpiecEasi Resource Report Resource Website 10+ mentions |
SpiecEasi (RRID:SCR_022712) | SpiecEasi | data analysis software, data processing software, software application, software resource | Software R package for microbiome network analysis. Used for inference of microbial ecological networks from amplicon sequencing datasets. Combines data transformations developed for compositional data analysis with graphical model inference framework that assumes underlying ecological association network is sparse. | microbiome network analysis, amplicon sequencing datasets, microbial ecological networks inference | NIAID AI007180; NIDDK DK103358; NIGMS GM63270; Simons Foundation |
PMID:25950956 | Free, Available for download, Freely available | SCR_022712 | SParse InversE Covariance Estimation for Ecological Association Inference | 2026-09-12 01:00:28 | 20 | |||||||
|
Megadepth Resource Report Resource Website 1+ mentions |
Megadepth (RRID:SCR_022779) | data analysis software, data processing software, software application, software resource | Software tool for quantifying alignments and coverage for BigWig and BAM/CRAM input files.Quantifies number of RNA-seq reads assigned to gene in BAM file, successor of bamcounts. | quantifying alignments, BigWig and BAM/CRAM input files, RNA-seq reads assigned to gene in BAM file quantification, | NIGMS R01GM118568; NIGMS R01GM121459; UK Medical Research Council |
PMID:33693500 | Free, Available for download, Freely available | https://bioconductor.org/packages/megadepth | SCR_022779 | 2026-09-12 01:00:29 | 2 | ||||||||
|
ZDOCK Server Resource Report Resource Website 100+ mentions |
ZDOCK Server (RRID:SCR_022518) | data access protocol, software resource, web service | Web tool as protein docking server, based on rigid body docking programs ZDOCK and M-ZDOCK, to predict structures of protein-protein complexes and symmetric multimers. | Protein docking server, ZDOCK, M-ZDOCK, predict structures, protein-protein complexes, symmetric multimers | NIGMS GM084884 | PMID:24532726 | Free, Freely available | SCR_022518 | 2026-09-12 01:00:26 | 137 | |||||||||
|
sei Resource Report Resource Website 10+ mentions |
sei (RRID:SCR_022571) | data access protocol, software resource, web service | Web server for systematically predicting sequence regulatory activities and applying sequence information to human genetics data. Provides global map from any sequence to regulatory activities, as represented by sequence classes, and each sequence class integrates predictions for chromatin profiles like transcription factor, histone marks, and chromatin accessibility profiles across wide range of cell types. | systematically predicting sequence regulatory activities, applying sequence information, human genetics data, sequence class predictions | National Science Foundation Graduate Research Fellowship Program ; NHGRI R01HG005998; NHLBI U54HL117798; NIGMS R01GM071966 |
PMID:35817977 | Free, Available for download, Freely available | https://hb.flatironinstitute.org/sei | SCR_022571 | 2026-09-12 01:00:27 | 10 | ||||||||
|
VirtualPlant Resource Report Resource Website 1+ mentions |
VirtualPlant (RRID:SCR_022576) | data access protocol, software resource, web service | Software platform to support systems biology research. Integrates genomic data and provides visualization and analysis tools for exploration of genomic data. Provides tools to generate biological hypotheses. | genomic data integration, support systems biology, genomic data visualization and analysis | FONDECYT ; Grape Genomics ; Millennium Nucleus for Plant Functional Genomics ; NIGMS 5F32GM75600; NIGMS R01 GM 032877; NSF DBI 0445666; NSF IOB 0519985; NSF MCB–0209754 |
PMID:20007449 | Free, Available for download, Freely available | SCR_022576 | VirtualPlant 1.3 | 2026-09-12 01:00:27 | 3 | ||||||||
|
ECO Resource Report Resource Website 10+ mentions |
ECO (RRID:SCR_002477) | ECO | controlled vocabulary, data or information resource, ontology | A controlled vocabulary that describes types of scientific evidence within the realm of biological research that can arise from laboratory experiments, computational methods, manual literature curation, and other means. Researchers can use these types of evidence to support assertions about research subjects that result from scientific research, such as scientific conclusions, gene annotations, or other statements of fact. ECO comprises two high-level classes, evidence and assertion method, where evidence is defined as a type of information that is used to support an assertion, and assertion method is defined as a means by which a statement is made about an entity. Together evidence and assertion method can be combined to describe both the support for an assertion and whether that assertion was made by a human being or a computer. However, ECO can not be used to make the assertion itself; for that, one would use another ontology, free text description, or other means. ECO was originally created around the year 2000 to support gene product annotation by the Gene Ontology. Today ECO is used by many groups concerned with provenance in scientific research. ECO is used in AmiGO 2 | evidence, assertion, assertion method, gene product, obo, evidence code, experiment, similarity, provenance |
is listed by: BioPortal is related to: AmiGO is related to: Gene Ontology has parent organization: University of Maryland School of Medicine; Maryland; USA has parent organization: Google Code |
NIGMS GM089636 | Free, Available for download, Freely available | nlx_155860 | http://code.google.com/p/evidenceontology/, http://bioportal.bioontology.org/ontologies/ECO | SCR_002477 | Evidence Codes Ontology, Evidence Ontology, evidenceontology, The Evidence Ontology | 2026-09-12 01:00:33 | 19 | |||||
|
Omics Discovery Index Resource Report Resource Website 10+ mentions |
Omics Discovery Index (RRID:SCR_010494) | OmicsDI, DDI, DDICC | data or information resource, database, portal | Portal for dataset discovery across a heterogeneous, distributed group of transcriptomics, genomics, proteomics and metabolomics data resources. These resources span eight repositories in three continents and six organisations, including both open and controlled access data resources. | dataset search, knowledge framework, knowledge discovery |
is affiliated with: MetabolomeXchange is affiliated with: ProteomeXchange has parent organization: University of California at San Diego; California; USA is parent organization of: Integrated Datasets |
NIA 1U24AI117966-01; NIGMS 1U54GM114833-01 |
Free, Public | nlx_158507, SCR_014747 | SCR_010494 | Omics Discovery Index (OmicsDI) | 2026-09-12 01:01:00 | 33 | ||||||
|
Motif Mutation Analysis for Regulatory Genomic Elements Resource Report Resource Website 500+ mentions |
Motif Mutation Analysis for Regulatory Genomic Elements (RRID:SCR_021902) | MMARGE | data analysis software, data processing software, software application, software resource, software toolkit | Software package that integrates genome wide genetic variation with epigenetic data to identify collaborative transcription factor pairs. Optimized to work with chromatin accessibility assays such as ATAC-seq or DNase I hypersensitivity, as well as transcription factor binding data collected by ChIP-seq. Used to identify combinations of cell type specific transcription factors while simultaneously interpreting functional effects of non-coding genetic variation. | genome wide genetic variation, epigenetic data, identify collaborative transcription factor pairs, interpreting functional effects, non-coding genetic variation | NCI CA173903; NHLBI R00 123485; NIDDK DK091183; NIGMS GM085764 |
PMID:29893919 | Free, Available for download, Freely available | SCR_021902 | 2026-09-12 01:00:03 | 608 | ||||||||
|
3DRefine Resource Report Resource Website 10+ mentions |
3DRefine (RRID:SCR_021883) | data access protocol, software resource, web service | Interactive web server for efficient protein structure refinement with capability to perform web based statistical and visual analysis. | efficient protein structure refinement, statistical and visual analysis | NIGMS R01 GM093123 | DOI:10.1093/nar/gkw336 | Free, Freely available | SCR_021883 | 2026-09-12 01:00:03 | 32 | |||||||||
|
OpenSim Resource Report Resource Website 500+ mentions |
OpenSim (RRID:SCR_002683) | simulation software, software application, 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 | 2026-09-12 01:00:08 | 612 | |||||||
|
RegulonDB Resource Report Resource Website 100+ mentions |
RegulonDB (RRID:SCR_003499) | RegulonDB | data or information resource, database | Database on transcriptional regulation in Escherichia coli K-12 containing knowledge manually curated from original scientific publications, complemented with high throughput datasets and comprehensive computational predictions. Graphic and text-integrated environment with friendly navigation where regulatory information is always at hand. They provide integrated views to understand as well as organized knowledge in computable form. Users may submit data to make it publicly available. | transcription, gene regulation, operon, bacteria, evolutionary conservation, regulatory phrase, transcriptional regulation, transcriptional regulatory network, bio.tools, FASEB list |
is listed by: OMICtools is listed by: 3DVC is listed by: bio.tools is listed by: Debian has parent organization: National Autonomous University of Mexico; Mexico City; Mexico |
NIGMS GM071962; NIGMS GM077678; Consejo Nacional de Ciencia y Tecnologia 103686; Consejo Nacional de Ciencia y Tecnologia 179997; Programa de Apoyo a Proyectos de Investigacion e Innovacion Tecnologica IN210810; Programa de Apoyo a Proyectos de Investigacion e Innovacion Tecnologica IN209312 |
PMID:23203884 | OMICS_01868, nif-0000-03399, biotools:regulondb | https://bio.tools/regulondb | SCR_003499 | 2026-09-12 01:00:09 | 153 |
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.
