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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Reactome Knowledgebase Resource Report Resource Website 100+ mentions |
Reactome Knowledgebase (RRID:SCR_023504) | web service, data or information resource, data access protocol, software resource, database | Open source relational database of signaling and metabolic molecules and their relations organized into biological pathways and processes. Core unit of Reactome data model is the reaction. Entities (nucleic acids, proteins, complexes, vaccines, anti-cancer therapeutics and small molecules) participating in reactions form network of biological interactions and are grouped into pathways including classical intermediary metabolism, signaling, transcriptional regulation, apoptosis and disease. External domain expert provides expertise, curator formalizes it into database structure, and external domain expert reviews representation. System of evidence tracking ensures that all assertions are backed up by primary literature. Website is designed to give the user graphical map of known biological processes and pathways that is also an interface. Database and website enable to find, organize, and utilize biological information to support data visualization, integration and analysis. | signaling and metabolic molecules relations, biological pathways and processes, intermediary metabolism, signaling, transcriptional regulation, apoptosis, disease | NHGRI U24 HG012198 | Free, Freely available | SCR_023504 | Reactome | 2026-02-14 02:05:06 | 445 | |||||||||
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Michigan Imputation Server Resource Report Resource Website 1+ mentions |
Michigan Imputation Server (RRID:SCR_023554) | data access protocol, software resource, web service | Web based service for imputation that facilitates access to new reference panels and improves user experience and productivity. Server implements whole genotype imputation workflow using MapReduce programming model for efficient parallelization of computationally intensive tasks. Genotype imputation service using Minimac4. | Genotype imputation, whole genotype imputation workflow, parallelization of computationally intensive tasks, | is related to: MINIMAC | NHGRI HG007022; NHLBI HL117626; NHGRI HG000376; NIDA R01DA037904; Austrian Science Fund ; European Community Seventh Framework Programme ; NIA |
PMID:27571263 | Free, Freely available | https://github.com/genepi/imputationserver | SCR_023554 | 2026-02-14 02:04:57 | 8 | |||||||
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miQC Resource Report Resource Website 1+ mentions |
miQC (RRID:SCR_022697) | data analysis software, software resource, data processing software, software application | Software tool as flexible, probablistic metrics for quality control of scRNA-seq data. Adaptive probabilistic framework for quality control of single-cell RNA-sequencing data. Data driven QC metric that jointly models proportion of reads mapping to mtDNA and number of detected genes with mixture models in probabilistic framework to predict which cells are low quality in given dataset. | scRNA-seq data quality control, QC metric, low quality data prediction, single cell RNA-sequencing data | NCI CA237170; NHGRI HG009007; European Union Horizon 2020 research and innovation program ; Academy of Finland ; Cancer Foundation Finland |
PMID:34428202 | Free, Available for download, Freely available | SCR_022697 | 2026-02-14 02:04:40 | 2 | |||||||||
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Resource Discovery System Resource Report Resource Website |
Resource Discovery System (RRID:SCR_005554) | RDS | data or information resource, database | Resource Discovery System is a web-accessible and searchable inventory of biomedical research resources. Powered by the Resource Discovery System (RDS) that includes a standards-based informatics infrastructure * Biositemaps Information Model * Biomedical Resource Ontology Extensions * Web Services distributed web-accessible inventory framework * Biositemap Resource Editor * Resource Discovery System Source code and project documentation to be made available on an open-source basis. Contributing institutions: University of Pittsburgh, University of Michigan, Stanford University, Oregon Health & Science University, University of Texas Houston. Duke University, Emory University, University of California Davis, University of California San Diego, National Institutes of Health, Inventory Resources Working Group Members | registry, web service, source code, biomedical, software resource, material resource, funding resource, service resource, training resource, people resource | has parent organization: Biositemaps | Clinical and Translational Science Awards Consortium ; National Centers for Biomedical Computing ; NCRR 3UL1RR024153-03S1; NCRR 5UL1RR024128-03S1; NCRR 1UL1RR025008-01; NCRR 1UL1RR024146-01; NCRR 1UL1RR024986-01; NCRR 1UL1RR024153-01; NIDA 3U54DA021519-04S1; NHGRI 3U54HG004028-04S |
nlx_144645 | SCR_005554 | 2026-02-14 02:06:28 | 0 | ||||||||
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MethylomeDB Resource Report Resource Website 1+ mentions |
MethylomeDB (RRID:SCR_005583) | MethylomeDB | data or information resource, database | A database containing genome-wide brain DNA methylation profiles for human and mouse brains. The DNA methylation profiles were generated by Methylation Mapping Analysis by Paired-end Sequencing (Methyl-MAPS) method and analyzed by Methyl-Analyzer software package. The methylation profiles cover over 80% CpG dinucleotides in human and mouse brains in single-CpG resolution. The integrated genome browser (modified from UCSC Genome Browser allows users to browse DNA methylation profiles in specific genomic loci, to search specific methylation patterns, and to compare methylation patterns between individual samples. Two species were included in the Brain Methylome Database: human and mouse. Human postmortem brain samples were obtained from three distinct cortical regions, i.e., dorsal lateral prefrontal cortex (dlPFC), ventral prefrontal cortex (vPFC), and auditory cortex (AC). Human samples were selected from our postmortem brain collection with extensive neuropathological and psychopathological data, as well as brain toxicology reports. The Department of Psychiatry of Columbia University and the New York State Psychiatric Institute have assembled this brain collection, where a validated psychological autopsy method is used to generate Axis I and II DSM IV diagnoses and data are obtained on developmental history, history of psychiatric illness and treatment, and family history for each subject. The mouse sample (strain 129S6/SvEv) DNA was collected from the entire left cerebral hemisphere. The three human brain regions were selected because they have been implicated in the neuropathology of depression and schizophrenia. Within each cortical region, both disease and non-psychiatric samples have been profiled (matching subjects by age and sex in each group). Such careful matching of subjects allows one to perform a wide range of queries with the ability to characterize methylation features in non-psychiatric controls, as well as detect differentially methylated domains or features between disease and non-psychiatric samples. A total of 14 non-psychiatric, 9 schizophrenic, and 6 depression methylation profiles are included in the database. | brain, dna methylation, dorsal lateral prefrontal cortex, ventral prefrontal cortex, auditory cortex, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Columbia University; New York; USA |
NIH ; NHGRI HG002915; NIMH MH074118 |
PMID:22140101 | OMICS_01843, nlx_146210, biotools:methylomedb | https://bio.tools/methylomedb | SCR_005583 | MethylomeDB - the Brain Methylome Database, Brain Methylome Database | 2026-02-14 02:06:24 | 1 | |||||
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FuncAssociate: The Gene Set Functionator Resource Report Resource Website 10+ mentions |
FuncAssociate: The Gene Set Functionator (RRID:SCR_005768) | FuncAssociate | data analysis service, production service resource, service resource, analysis service resource | A web-based tool that accepts as input a list of genes, and returns a list of GO attributes that are over- (or under-) represented among the genes in the input list. Only those over- (or under-) representations that are statistically significant, after correcting for multiple hypotheses testing, are reported. Currently 37 organisms are supported. In addition to the input list of genes, users may specify a) whether this list should be regarded as ordered or unordered; b) the universe of genes to be considered by FuncAssociate; c) whether to report over-, or under-represented attributes, or both; and d) the p-value cutoff. A new version of FuncAssociate supports a wider range of naming schemes for input genes, and uses more frequently updated GO associations. However, some features of the original version, such as sorting by LOD or the option to see the gene-attribute table, are not yet implemented. Platform: Online tool | gene, gene ontology, statistical analysis, web service, bio.tools |
is listed by: Gene Ontology Tools is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology has parent organization: Roth Laboratory |
NIH ; Canadian Institute for Advanced Research ; NINDS NS054052; NINDS NS035611; NHLBI HL081341; NHGRI HG0017115; NHGRI HG004233; NHGRI HG003224 |
PMID:19717575 PMID:14668247 |
Free for academic use, Acknowledgement requested | biotools:funcassociate, OMICS_02264, nlx_149233 | http://llama.mshri.on.ca/cgi/func/funcassociate https://bio.tools/funcassociate |
SCR_005768 | 2026-02-14 02:05:53 | 36 | |||||
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Transcriptional Regulatory Element Database Resource Report Resource Website 50+ mentions |
Transcriptional Regulatory Element Database (RRID:SCR_005661) | TRED | data or information resource, database | Collects mammalian cis- and trans-regulatory elements together with experimental evidence. Regulatory elements were mapped on to assembled genomes. Resource for gene regulation and function studies. Users can retrieve primers, search TF target genes, retrieve TF motifs, search Gene Regulatory Networks and orthologs, and make use of sequence analysis tools. Uses databases such as Genbank, EPD and DBTSS, and employ promoter finding program FirstEF combined with mRNA/EST information and cross-species comparisons. Manually curated. | Mammalian, cis, trans, regulatory, element, mapped, genome, gene, regulation, function, data, FASEB list |
uses: GenBank uses: Eukaryotic Promoter Database uses: DBTSS: Database of Transcriptional Start Sites has parent organization: Cold Spring Harbor Laboratory |
NCI ; NHGRI HG001696 |
PMID:17202159 | Free, Freely available | nif-0000-03585 | SCR_005661 | Transcriptional Regulatory Element Database | 2026-02-14 02:05:57 | 78 | |||||
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CharProtDB: Characterized Protein Database Resource Report Resource Website |
CharProtDB: Characterized Protein Database (RRID:SCR_005872) | CharProtDB | data or information resource, database | The Characterized Protein Database, CharProtDB, is designed and being developed as a resource of expertly curated, experimentally characterized proteins described in published literature. For each protein record in CharProtDB, storage of several data types is supported. It includes functional annotation (several instances of protein names and gene symbols) taxonomic classification, literature links, specific Gene Ontology (GO) terms and GO evidence codes, EC (Enzyme Commisssion) and TC (Transport Classification) numbers and protein sequence. Additionally, each protein record is associated with cross links to all public accessions in major protein databases as ��synonymous accessions��. Each of the above data types can be linked to as many literature references as possible. Every CharProtDB entry requires minimum data types to be furnished. They are protein name, GO terms and supporting reference(s) associated to GO evidence codes. Annotating using the GO system is of importance for several reasons; the GO system captures defined concepts (the GO terms) with unique ids, which can be attached to specific genes and the three controlled vocabularies of the GO allow for the capture of much more annotation information than is traditionally captured in protein common names, including, for example, not just the function of the protein, but its location as well. GO evidence codes implemented in CharProtDB directly correlate with the GO consortium definitions of experimental codes. CharProtDB tools link characterization data from multiple input streams through synonymous accessions or direct sequence identity. CharProtDB can represent multiple characterizations of the same protein, with proper attribution and links to database sources. Users can use a variety of search terms including protein name, gene symbol, EC number, organism name, accessions or any text to search the database. Following the search, a display page lists all the proteins that match the search term. Click on the protein name to view more detailed annotated information for each protein. Additionally, each protein record can be annotated. | protein, annotation, functional annotation, taxonomic classification, literature, gene ontology, evidence code, enzyme commission, transport classification, protein sequence, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: J. Craig Venter Institute |
NHGRI R01 HG004881; NIAID contract HHSN266200100038C |
PMID:22140108 | biotools:charprotdb, nlx_149421 | https://bio.tools/charprotdb | SCR_005872 | Characterized Protein Database | 2026-02-14 02:06:25 | 0 | |||||
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HaploReg Resource Report Resource Website 1000+ mentions |
HaploReg (RRID:SCR_006796) | HaploReg | data or information resource, database | HaploReg is a tool for exploring annotations of the noncoding genome at variants on haplotype blocks, such as candidate regulatory SNPs at disease-associated loci. Using linkage disequilibrium (LD) information from the 1000 Genomes Project, linked SNPs and small indels can be visualized along with their predicted chromatin state in nine cell types, conservation across mammals, and their effect on regulatory motifs. HaploReg is designed for researchers developing mechanistic hypotheses of the impact of non-coding variants on clinical phenotypes and normal variation. | chromatin state, conservation, regulatory motif, alteration, variant, chromatin, motif, annotation, genome, variation, genome-wide association study, refsnp, refseq gene, snp, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is listed by: SoftCite has parent organization: Broad Institute |
NHGRI R01-HG004037; NHGRI RC1-HG005334; NSF 0644282 |
PMID:22064851 | biotools:HaploReg, nlx_151407 | http://compbio.mit.edu/HaploReg https://bio.tools/HaploReg |
SCR_006796 | 2026-02-14 02:06:27 | 1004 | ||||||
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ESEfinder 3.0 Resource Report Resource Website 100+ mentions |
ESEfinder 3.0 (RRID:SCR_007088) | ESEfinder | data analysis service, production service resource, service resource, analysis service resource | A web-based resource that facilitates rapid analysis of exon sequences to identify putative exonic splicing enhancers (ESEs) responsive to the human SR proteins SF2/ASF, SC35, SRp40 and SRp55, and to predict whether exonic mutations disrupt such elements. | exonic splicing enhancer, sr protein, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Cold Spring Harbor Laboratory |
NIGMS GM42699; NCI CA88351; NHGRI HG01696 |
PMID:12824367 | Free for non-profit use, Non-commercial, Acknowledgement requested, Commercial use with license | biotools:esefinder, nif-0000-30496 | http://rulai.cshl.edu/tools/ESE2/ https://bio.tools/esefinder |
http://exon.cshl.edu/ESE/ | SCR_007088 | 2026-02-14 02:06:02 | 211 | ||||
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Eagle Resource Report Resource Website 50+ mentions |
Eagle (RRID:SCR_015991) | software resource, software toolkit | Software package for statistical estimation of haplotype phase either within a genotyped cohort or using a phased reference panel in large scale sequencing. The package includes Eagle1 (to harness identity-by-descent among distant relatives to rapidly call phase using a fast scoring approach) and Eagle2 (to analyze a full probabilistic model similar to the diploid Li-Stephens model used by previous HMM-based methods. | hmm, hidden markov model, statistic, estimation, haplotype, phase, reference, panel, sequencing, algorithm, analysis, probability |
is listed by: Debian is listed by: OMICtools has parent organization: Broad Institute |
NHGRI R01 HG006399; NIMH R01 MH101244; NHGRI F32HG007805; Wellcome Trust WT098051; Austrian Science Fund J-3401; NHGRI HG007022; NHLBI HL117626; Fannie and John Hertz Foundation ; NCRR S10 RR028832; NWO 480-05-003; Dutch Brain Foundation |
PMID:27694958 PMID:27270109 |
Free, Available for download, Freely available | OMICS_14099, SCR_017262 | https://sources.debian.org/src/bio-eagle/ https://github.com/poruloh/Eagle https://data.broadinstitute.org/alkesgroup/Eagle/downloads/ |
SCR_015991 | Bio-eagle, Eagle1, Eagle2 | 2026-02-14 02:07:27 | 51 | |||||
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Mash Resource Report Resource Website 50+ mentions |
Mash (RRID:SCR_019135) | data analytics software, software resource, software application | Software tool for genome and metagenome distance estimation using MinHash. Reduces large sequences and sequence sets to small, representative sketches, from which global mutation distances can be rapidly estimated. | Genome distance estimation, metagenome distance estimation, MinHash, mutation distance, sequence, sequence set |
is listed by: Debian is listed by: OMICtools |
NHGRI ; NIH |
PMID:27323842 | Free, Available for download, Freely available | OMICS_10468 | https://mash.readthedocs.io/en/latest/ https://sources.debian.org/src/mash/ |
SCR_019135 | 2026-02-14 02:07:04 | 54 | ||||||
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rtracklayer Resource Report Resource Website 10+ mentions |
rtracklayer (RRID:SCR_021325) | software resource, software toolkit | Software R package for interfacing with genome browsers.Supports integration of existing genome browsers with experimental data analyses performed in R. R interface to genome annotation files and UCSC genome browser. | Existing genome browsers integration, genome annotation files interface, interfacing with genome browsers | NHGRI P41 HG004059 | PMID:19468054 | Free, Available for download, Freely available | https://github.com/lawremi/rtracklayer | SCR_021325 | 2026-02-14 02:07:05 | 19 | ||||||||
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CHISEL Resource Report Resource Website 1+ mentions |
CHISEL (RRID:SCR_023220) | CHISEL | software resource, software application | Software tool to infer allele and haplotype specific copy numbers in individual cells from low coverage single cell DNA sequencing data. Integrates weak allelic signals across individual cells, powering strength of single cell sequencing technologies to overcome weakness. Includes global clustering of RDRs and BAFs, and rigorous model selection procedure for inferring genome ploidy that improves both inference of allele specific and total copy numbers. | infer allele and haplotype specific copy numbers, individual cells, low coverage single cell DNA sequencing data, weak allelic signals, weak signals integration, | NHGRI R01HG007069; NCI U24CA211000; NSF CCF 1053753; Chan Zuckerberg Initiative DAF grants ; NCI P30CA072720; O’Brien Family Fund for Health Research ; Wilke Family Fund for Innovation |
DOI:10.1038/s41587-020-0661-6 | Free, Available for download, Freely available | SCR_023220 | Copy-number Haplotype Inference in Single-cell by Evolutionary Links | 2026-02-14 02:07:39 | 2 | |||||||
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Adaptive Shrinkage in R Resource Report Resource Website 1+ mentions |
Adaptive Shrinkage in R (RRID:SCR_023486) | ashr | software resource, software toolkit | Software R package for adaptive shrinkage. Implements Empirical Bayes approach for large scale hypothesis testing and false discovery rate estimation. | adaptive shrinkage, large scale hypothesis testing, false discovery rate estimation, | NHGRI HG02585; Gordon and Betty Moore Foundation |
PMID:27756721 | Free, Available for download, Freely available | SCR_023486 | 2026-02-14 02:07:40 | 8 | ||||||||
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MR-PRESSO Resource Report Resource Website 50+ mentions |
MR-PRESSO (RRID:SCR_023697) | software resource, software toolkit | Software R package for performing Mendelian randomization pleiotropy residual sum and outlier method.Used to identify horizontal pleiotropic outliers in multi instrument summary level MR testing. | Mendelian randomization, identify horizontal pleiotropic outliers, multi instrument summary level MR testing, | NIGMS R35 GM124836; NHLBI R01 HL139865; AstraZeneca ; Goldfinch Bio ; American Heart Association Cardiovascular Genome Phenome Discovery ; NIMH 1R01 MH094469; NIMH 1R01 MH107649; NHGRI 5U01 HG009088 |
PMID:29686387 | Free, Available for download, Freely available | SCR_023697 | Mendelian Randomization Pleiotropy RESidual Sum and Outlier | 2026-02-14 02:07:24 | 64 | ||||||||
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UniRef Resource Report Resource Website 100+ mentions |
UniRef (RRID:SCR_010646) | data or information resource, database | Databases which provide clustered sets of sequences from UniProt Knowledgebase and selected UniParc records, in order to obtain complete coverage of sequence space at several resolutions while hiding redundant sequences from view. The UniRef100 database combines identical sequences and sub-fragments with 11 or more residues (from any organism) into a single UniRef entry. The sequence of a representative protein, the accession numbers of all the merged entries, and links to the corresponding UniProtKB and UniParc records are all displayed in the entry. UniRef90 and UniRef50 are built by clustering UniRef100 sequences with 11 or more residues such that each cluster is composed of sequences that have at least 90% (UniRef90) or 50% (UniRef50) sequence identity to the longest sequence (UniRef seed sequence). All the sequences in each cluster are ranked to facilitate the selection of a representative sequence for the cluster. | database, protein sequence, sub-fragment, sequence cluster, clustered set |
is related to: VIROME is related to: UniRef at the EBI is related to: BioExtract has parent organization: UniProt |
NHGRI U01 HG02712 | PMID:17379688 | Updated biweekly | nlx_66133 | SCR_010646 | UniProt Reference Clusters | 2026-02-14 02:06:38 | 277 | ||||||
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Mouse Genome Database Resource Report Resource Website 500+ mentions |
Mouse Genome Database (RRID:SCR_012953) | MGD | data or information resource, database | Community model organism database for laboratory mouse and authoritative source for phenotype and functional annotations of mouse genes. MGD includes complete catalog of mouse genes and genome features with integrated access to genetic, genomic and phenotypic information, all serving to further the use of the mouse as a model system for studying human biology and disease. MGD is a major component of the Mouse Genome Informatics.Contains standardized descriptions of mouse phenotypes, associations between mouse models and human genetic diseases, extensive integration of DNA and protein sequence data, normalized representation of genome and genome variant information. Data are obtained and integrated via manual curation of the biomedical literature, direct contributions from individual investigators and downloads from major informatics resource centers. MGD collaborates with the bioinformatics community on the development and use of biomedical ontologies such as the Gene Ontology (GO) and the Mammalian Phenotype (MP) Ontology. | gene, genome, genetic, chromosome, clone, cytogenetic, dna, genomic, inbred, mammalian, mouse, mutant, ortholog, phenotype, primer, protein, reagent, sequence, strain, bio.tools |
is used by: DisGeNET is listed by: Debian is listed by: bio.tools is related to: Mouse Genome Informatics (MGI) has parent organization: Jackson Laboratory |
NHGRI HG000330 | PMID:21051359 | biotools:mgi, biotools:mgd, nif-0000-10301 | http://www.informatics.jax.org/mgihome/projects/overview.shtml https://bio.tools/mgd https://bio.tools/mgi |
SCR_012953 | Mouse Genome Informatics: Mouse Genome Database, MGID, Mouse Genome Informatics Database | 2026-02-14 02:06:41 | 502 | |||||
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HumanBase Resource Report Resource Website 50+ mentions |
HumanBase (RRID:SCR_016145) | data or information resource, database | Formerly known as GIANT (Genome-scale Integrated Analysis of gene Networks in Tissues), HumanBase applies machine learning algorithms to learn biological associations from massive genomic data collections. These integrative analyses reach beyond existing "biological knowledge" represented in the literature to identify novel, data-driven associations. | genome, analysis, tissue, network, gene, machine, learning, biology | NIGMS R01 GM071966; NHGRI R01 HG005998; NHLBI U54 HL117798; NIGMS P20 GM103534; NHGRI T32 HG003284; NCI T32 CA009528; NIGMS P50 GM071508; US Department Of Health And Human Services HHSN272201000054C |
PMID:25915600 | Free, Public | SCR_016145 | GIANT (Genome-scale Integrated Analysis of gene Networks in Tissues), GIANT | 2026-02-14 02:06:53 | 74 | ||||||||
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TheCellMap Resource Report Resource Website 10+ mentions |
TheCellMap (RRID:SCR_018728) | data or information resource, service resource, database | Web accessible database for visualizing and mining global yeast genetic interaction network. Allows users to easily access, visualize, explore, and functionally annotate genetic interactions, or to extract and reorganize sub networks, using data driven network layouts in intuitive and interactive manner. Used for storing and visualizing genetic interactions in S. cerevisiae. | Genetic interactions, genetic network, yeast genetics, synthetic genetic array, network visualization, annotation, data, genetic interaction visualization | has parent organization: University of Toronto; Ontario; Canada | NHGRI R01 HG005853; NHGRI R01 HG005084; Canadian Institutes of Health Research ; NSF DBI 0953881 |
PMID:28325812 | Free, Freely available | SCR_018728 | TheCellMap.org | 2026-02-14 02:06:25 | 34 |
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