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 | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Experimental Pharmacology and Oncology Berlin-Buch Resource Report Resource Website 1+ mentions |
Experimental Pharmacology and Oncology Berlin-Buch (RRID:SCR_003954) | EPO | commercial organization | A small and medium-sized enterprise (SME) that has expertise in preclinical pharmacology, pharmacokinetics, and toxicology for the characterization of novel anticancer therapeutics and predictive biomarkers like: cytostatics, biologicals (peptides, antibodies), (anti)-hormones, immunomodulators (cytokines), and gene therapeutics. EPO has modern laboratories licensed for animal experiments and gene technology (S2) and a broad panel of murine and human tumor models growing in immunocompetent (SPF-quality, syngeneic strains) or immunodeficient mice (nude, SCID, NOD/SCID). EPO has established imaging technologies to monitor in vivo tumor growth. | tumor model, pharmaceutical, oncology, in vitro, in vivo, antitumor, preclinical, pharmacology, pharmacokinetics, toxicology, anticancer, therapeutic, biomarker, imaging, testing, validation, target | is related to: OncoTrack | Tumor, Cancer | nlx_158355 | SCR_003954 | EPO - Experimental Pharmacology & Oncology GmbH, Experimental Pharmacology & Oncology GmbH, Experimental Pharmacology & Oncology Berlin-Buch, Experimental Pharmacology & Oncology Berlin-Buch GmbH, EPO Berlin-Buch GmbH, EPO-GmbH | 2026-09-12 12:56:05 | 2 | |||||||
|
Alacris Theranostics Resource Report Resource Website |
Alacris Theranostics (RRID:SCR_003953) | Alacris | commercial organization | Commercial organization that uses next generation sequencing technologies coupled with computational modeling of tumor and somatic tissues in order to identify individualized therapies for cancer patients. The company also uses these technologies to help pharmaceutical partners stratify patients for their clinical trials. Alacris has an exclusive worldwide commercial license for the computational modeling of tumors and somatic tissues using proprietary computational systems modeling technologies ModCell developed at the Max Planck Institute for Molecular Genetics (MPI-MG) in Berlin coupled with next generation sequencing and genotyping technology developed at Harvard Medical School in Boston. The company also is building up the first next generation sequencing center in Europe for clinical operations. | next generation sequencing, computational modeling, clinical trial, somatic tissue, genotyping, genomics, oncogenomics, diagnostics, therapy, disease model, drug, personalized medicine, biomarker, drug development, tumor model, analysis, oncology | is related to: OncoTrack | Tumor, Cancer | nlx_158354, grid.473915.d | https://ror.org/04a0gnr15 | SCR_003953 | Alacris Theranostics GmbH | 2026-09-12 12:56:05 | 0 | ||||||
|
Hoosier Cancer Research Network Resource Report Resource Website |
Hoosier Cancer Research Network (RRID:SCR_004026) | HCRN | nonprofit organization | An independent nonprofit cancer research organization that provides full-service clinical trial management and support, from conception and study design through project completion and publication. Established to explore and develop leading edge cancer treatments across the United States and internationally, their clinical trials, developed in collaboration with academic and community oncologists, are conducted within a member network of more than 130 clinical research sites. Their vision and mission is to form unparalleled relationships between academic, community, pharmaceutical, and biotech partners with the goal of advancing cancer research, education, and patient advocacy. There are no costs to become a member. | oncology, clinical trial, clinical | is parent organization of: Big Ten Cancer Research Consortium | Cancer | nlx_158453, Wikidata: Q30287333, grid.428706.f | https://ror.org/02mtpb511 | SCR_004026 | Hoosier Oncology Group | 2026-09-12 12:56:07 | 0 | ||||||
|
Terry Fox Research Institute Resource Report Resource Website 1+ mentions |
Terry Fox Research Institute (RRID:SCR_011568) | TFRI | institution | Launched in October 2007, TFRI is the brainchild of the Terry Fox Foundation. TFRI involves collaboration between cancer hospitals and research organizations across Canada, and will occur initially in British Columbia, Alberta, Ontario and Quebec. TFRI will support translational cancer research projects with the potential to significantly improve the health of cancer patients. TFRI is organized into functionally integrated yet geographically dispersed nodes. Regional cancer hospitals and research organizations participate in each node by providing space for researchers and by arranging for the participation of cancer patients in research projects. At each node, two node co-ordinators provide leadership, and bring together local scientific and clinical research teams to propose and manage specific projects. The TFRI headquarters team liaises with the TFRI nodes and provides direction, co-ordination and facilitates communication across the entire organization. The Terry Fox Foundation has committed a minimum of $50 million (CAN) over five years from donations obtained during the 25th anniversary of the Terry Fox Marathon of Hope and from new funds anticipated and those raised since 2005. Other partners sharing the same vision are being sought who will be asked to commit additional resources to support the ongoing work of the TFRI. | has parent organization: Terry Fox Foundation | Cancer | grid.489333.6, nlx_149428 | https://ror.org/00mtf6c40 | SCR_011568 | 2026-09-12 12:57:36 | 3 | ||||||||
|
OncoSNP Resource Report Resource Website 10+ mentions |
OncoSNP (RRID:SCR_012985) | OncoSNP | software resource | An analytical software tool for characterizing copy number alterations and loss-of-heterozygosity (LOH) events in cancer samples from SNP genotyping data. | is listed by: OMICtools | Cancer | Freely available for academic use, Non-commercial, Commercial with permission | OMICS_00728 | SCR_012985 | 2026-09-12 12:57:56 | 19 | ||||||||
|
GeneSigDB Resource Report Resource Website 10+ mentions |
GeneSigDB (RRID:SCR_013275) | GeneSigDB | analysis service resource, data access protocol, data analysis service, data or information resource, data repository, database, production service resource, service resource, software resource, storage service resource, web service | Database of traceable, standardized, annotated gene signatures which have been manually curated from publications that are indexed in PubMed. The Advanced Gene Search will perform a One-tailed Fisher Exact Test (which is equivalent to Hypergeometric Distribution) to test if your gene list is over-represented in any gene signature in GeneSigDB. Gene expression studies typically result in a list of genes (gene signature) which reflect the many biological pathways that are concurrently active. We have created a Gene Signature Data Base (GeneSigDB) of published gene expression signatures or gene sets which we have manually extracted from published literature. GeneSigDB was creating following a thorough search of PubMed using defined set of cancer gene signature search terms. We would be delighted to accept or update your gene signature. Please fill out the form as best you can. We will contact you when we get it and will be happy to work with you to ensure we accurately report your signature. GeneSigDB is capable of providing its functionality through a Java RESTful web service. | gene, gene signature, curated gene signature, gene expression, gene expression signature, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Dana-Farber Cancer Institute has parent organization: Computational Biology and Functional Genomics Laboratory at Harvard |
Cancer | Genome Research Institute ; Dana-Farber Cancer Institute ; Women's Cancers Program ; Claudia Adams Barr Foundation ; NLM 1R01 LM010129; NCI 1U19 CA148065; NHGRI 1P50 HG004233 |
PMID:22110038 | biotools:genesigdb, nlx_149342 | https://bio.tools/genesigdb | SCR_013275 | Gene Signature Data Base, GeneSigDB - Curated Gene Signatures Database | 2026-09-12 12:58:01 | 24 | ||||
|
CancerMutationAnalysis Resource Report Resource Website |
CancerMutationAnalysis (RRID:SCR_013181) | CancerMutationAnalysis | software resource | Software package that implements gene and gene-set level analysis methods for somatic mutation studies of cancer. |
is listed by: OMICtools has parent organization: Bioconductor |
Cancer | OMICS_00141 | SCR_013181 | 2026-09-12 12:57:59 | 0 | |||||||||
|
L2L Microarray Analysis Tool Resource Report Resource Website 1+ mentions |
L2L Microarray Analysis Tool (RRID:SCR_013440) | L2L | analysis service resource, data analysis service, data analysis software, data or information resource, data processing software, data repository, database, production service resource, service resource, software application, software resource, storage service resource |
THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone.. Documented on August 26, 2019. Database of published microarray gene expression data, and a software tool for comparing that published data to a user''''s own microarray results. It is very simple to use - all you need is a web browser and a list of the probes that went up or down in your experiment. If you find L2L useful please consider contributing your published data to the L2L Microarray Database in the form of list files. L2L finds true biological patterns in gene expression data by systematically comparing your own list of genes to lists of genes that have been experimentally determined to be co-expressed in response to a particular stimulus - in other words, published lists of microarray results. The patterns it finds can point to the underlying disease process or affected molecular function that actually generated the observed changed in gene expression. Its insights are far more systematic than critical gene analyses, and more biologically relevant than pure Gene Ontology-based analyses. The publications included in the L2L MDB initially reflected topics thought to be related to Cockayne syndrome: aging, cancer, and DNA damage. Since then, the scope of the publications included has expanded considerably, to include chromatin structure, immune and inflammatory mediators, the hypoxic response, adipogenesis, growth factors, hormones, cell cycle regulators, and others. Despite the parochial origins of the database, the wide range of topics covered will make L2L of general interest to any investigator using microarrays to study human biology. In addition to the L2L Microarray Database, L2L contains three sets of lists derived from Gene Ontology categories: Biological Process, Cellular Component, and Molecular Function. As with the L2L MDB, each GO sub-category is represented by a text file that contains annotation information and a list of the HUGO symbols of the genes assigned to that sub-category or any of its descendants. You don''''t need to download L2L to use it to analyze your microarray data. There is an easy-to-use web-based analysis tool, and you have the option of downloading your results so you can view them at any time on your own computer, using any web browser. However, if you prefer, the entire L2L project, and all of its components, can be downloaded from the download page. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible |
microarray, gene expression, adipogenesis, biological, biological process, cancer, cell cycle regulator, cellular component, chromatin, cockayne syndrome, dna damage, growth factor, hormone, human biology, hypoxic response, immune mediator, inflammatory mediator, molecular function, molecular neuroanatomy resource, adipocyte, development, hypoxia, immune, inflammation, metabolism, mitogen, neuro, rna, vascular, transcription, tissue, splicing, mouse, human, rat, source code, statistical analysis, gene, chromatin structure |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Washington; Seattle; USA |
Cockayne syndrome, DNA damage, Other, Aging, Cancer | Cora May Poncin Foundation ; NIGMS GM41624 |
PMID:16168088 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10463 | http://depts.washington.edu/l2l/about.html | SCR_013440 | L2L Microarray Database, L2L Microarray Analysis Tool: A simple tool for discovering the hidden biological significance in microarray expression data, L2L MDB | 2026-09-12 12:58:03 | 1 | |||
|
FISH Oracle Resource Report Resource Website |
FISH Oracle (RRID:SCR_010927) | FISH Oracle | data or information resource, database, software resource | A web-based software tool for the integrative analysis of cancer genomics data. It stores different kinds of downstream processed data from multiple samples in a single database. A powerful search interface allows to dynamically filter the data to be displayed with respect to different criteria. The combination of AJAX technology and a fast visualization engine facilitates a highly dynamic visualization for large amounts of data. FISH Oracle 2 is able to simultaneously display different data sets, thus simplifying their comparison. Filter and display options can be changed on the fly. High quality image export enables the life scientist to easily communicate the results, e.g. in presentations or publications. A comprehensive data administration assures to keep track of the data stored in the database. | array cgh, snp, genomics, visualization |
is listed by: OMICtools has parent organization: University of Hamburg; Hamburg; Germany |
Cancer | PMID:21884636 | OMICS_00721 | SCR_010927 | 2026-09-12 12:57:26 | 0 | |||||||
|
ARIAD Resource Report Resource Website 50+ mentions |
ARIAD (RRID:SCR_008559) | ARIAD | material service resource, production service resource, reagent manufacture, service resource | Cambridge, Massachusetts-based biotechnology company focused on cancer. Focus areas are blood cancers and solid tumors. Compounds: ponatinib, AP26113, ridaforolimus and AP1903., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | oncology, drug, therapy, treatment, drug development | uses: FluoroFinder | Cancer | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-31436 | http://www.ariad.com/wt/page/regulation_kits | SCR_008559 | ARIAD Pharmaceuticals | 2026-09-12 12:57:05 | 55 | |||||
|
DrGaP Resource Report Resource Website 10+ mentions |
DrGaP (RRID:SCR_008670) | DrGaP | software resource | Designed to identify Driver Genes and Pathways in cancer genome sequencing studies. | is listed by: OMICtools | Cancer | OMICS_00149 | SCR_008670 | 2026-09-12 12:57:07 | 10 | |||||||||
|
Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology Bioinformatics Resource Resource Report Resource Website |
Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology Bioinformatics Resource (RRID:SCR_015324) | access service resource, analysis service resource, core facility, data or information resource, production service resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE.Documented on July 27,2022. Core provides bioinformatics specialists available to assist researchers with processing, exploring, and understanding genomics data. | hematology, bioinformatics, explore, understand, genomic, data, cancer |
is listed by: NIDDK Information Network (dkNET) has parent organization: Fred Hutchinson Cancer Center |
Cancer | NIDDK P30 DK056465 | THIS RESOURCE IS NO LONGER IN SERVICE | SCR_015907 | SCR_015324 | Hutch, Bioinformatic Resource, Fred, Co-operative Center for Excellence in Hematology, Cancer Center | 2026-09-12 12:58:26 | 0 | ||||||
|
Common Terminology Criteria for Adverse Events Resource Report Resource Website 10+ mentions |
Common Terminology Criteria for Adverse Events (RRID:SCR_010296) | CTCAE | controlled vocabulary, data or information resource, ontology | A coding system for reporting adverse events that occur in the course of cancer therapy. It was derived from the Common Toxicity Criteria (CTC) v2.0 and is maintained by the Cancer Therapy Evaluation Program (CTEP) at the National Cancer Institution (NCI). | owl |
is listed by: BioPortal has parent organization: National Cancer Institute |
Cancer | nlx_157370 | SCR_010296 | 2026-09-12 12:57:16 | 14 | ||||||||
|
Upper-Level Cancer Ontology Resource Report Resource Website |
Upper-Level Cancer Ontology (RRID:SCR_010443) | CANONT | controlled vocabulary, data or information resource, ontology | Upper-level ontology for cancer. | obo | is listed by: BioPortal | Cancer | nlx_157620 | SCR_010443 | 2026-09-12 12:57:19 | 0 | ||||||||
|
Tool for Tumor Progression Resource Report Resource Website 1+ mentions |
Tool for Tumor Progression (RRID:SCR_014700) | TTP | simulation software, software application, software resource | Software used to simulate tumor progression in various stages of growth in order to study the process' dynamics. The input can be fitness landscape, mutation rate, and cell division time. The output is growth dynamics and other relevant statistics, such as expected tumor detection time and expected appearance time of surviving mutants. The tool is implemented in Java and runs on all operating systems which run a Java Virtual Machine (JVM) of version 1.7 or above. | tumor, tumor progression, cancer, simulation, simulation software, tumor dynamics, tumor growth | Cancer | Available for download, Necessary libraries are included in the file | SCR_014700 | Tool for Tumor Progression (TTP) | 2026-09-12 12:58:20 | 1 | ||||||||
|
QuadGT Resource Report Resource Website 1+ mentions |
QuadGT (RRID:SCR_000073) | QuadGT | software resource | Software package for calling single-nucleotide variants in four sequenced genomes comprising a normal-tumor pair and the two parents. Genotypes are inferred using a joint model of parental variant frequencies, de novo germline mutations, and somatic mutations. The model quantifies the descent-by-modification relationships between the unknown genotypes by using a set of parameters in a Bayesian inference setting. Note that you can use it on any subset of the four related genomes, including parent-offspring trios, and normal-tumor pairs without parental samples. | single-nucleotide variant, sequenced genome, genotype, genome |
is listed by: OMICtools has parent organization: University of Montreal; Quebec; Canada |
Normal, Tumor, Cancer | Canada National Sciences and Engineering Research Council ; Canadian Institutes for Health Research ; Terry Fox Research Institute |
PMID:23734724 | Free, Available for download, Freely available | OMICS_02108 | SCR_000073 | 2026-09-12 12:55:02 | 1 | |||||
|
nFuse Resource Report Resource Website 1+ mentions |
nFuse (RRID:SCR_000066) | nFuse | software resource | Software that predicts fusion transcripts and associated CGRs from matched RNA-seq and Whole Genome Shotgun Sequencing (WGSS). | cancer, genomics |
is listed by: OMICtools is listed by: Google Code has parent organization: Simon Fraser University; British Columbia; Canada |
Cancer | PMID:22745232 | Free, Available for download, Freely available, | OMICS_01353 | SCR_000066 | nFuse: Discovery of Complex Genomic Rearrangements in Cancer | 2026-09-12 12:55:02 | 2 | |||||
|
Gene Expression Profiling Interactive Analysis Resource Report Resource Website 5000+ mentions |
Gene Expression Profiling Interactive Analysis (RRID:SCR_018294) | GEPIA | analysis service resource, data access protocol, production service resource, service resource, software resource, web service | Web server for cancer and normal gene expression profiling and interactive analyses. Interactive web server for analyzing RNA sequencing expression data of tumors and normal samples from TCGA and GTEx projects, using standard processing pipeline. Provides customizable functions such as tumor or normal differential expression analysis, profiling according to cancer types or pathological stages, patient survival analysis, similar gene detection, correlation analysis and dimensionality reduction analysis. | Cancer gene expression, normal gene expression, analysis, RNA sequencing, expression data, TCGA project, GTEx project, patient survival analysis, correlation analysis |
is related to: Gene Expression Profiling Interactive Analysis 2 has parent organization: Peking University; Beijing; China |
Cancer | National Natural Science Foundation of China ; Peking University |
PMID:28407145 | Free, Freely available | SCR_018294 | 2026-09-12 12:58:59 | 7126 | ||||||
|
omniBiomarker Resource Report Resource Website 1+ mentions |
omniBiomarker (RRID:SCR_005750) | omniBiomarker | analysis service resource, data analysis service, production service resource, service resource | omniBiomarker is a web-application for analysis of high-throughput -omic data. Its primary function is to identify differentially expressed biomarkers that may be used for diagnostic or prognostic clinical prediction. Currently, omniBiomarker allows users to analyze their data with many different ranking methods simultaneously using a high-performance compute cluster. The next release of omniBiomarker will automatically select the most biologically relevant ranking method based on user input regarding prior knowledge. The omniBiomarker workflow * Data: Gene Expression * Algorithms: Knowledge-Driven Gene Ranking * Differentially expressed Genes * Clinical / Biological Validation * Knowledge: NCI Thesaurus of Cancer, Cancer Gene Index * back to Algorithms | gene, gene expression, algorithm, cancer, cancer gene, cancer gene index, biocomputing, biomarker, clinical, gene ranking |
has parent organization: Georgia Institute of Technology; Georgia; USA has parent organization: Emory University; Georgia; USA |
Cancer | Georgia Cancer Coalition ; NCI U54CA119338; NCI R01CA108468 |
PMID:19695674 | nlx_149210 | SCR_005750 | omniBiomarker: Knowledge-Driven Biomarker Identification and Data Combination | 2026-09-12 01:01:39 | 3 | |||||
|
KI Biobank - Tissue Biobank Resource Report Resource Website 1+ mentions |
KI Biobank - Tissue Biobank (RRID:SCR_006043) | KI Biobank - Tissue Biobank | biomaterial supply resource, material resource, tissue bank | THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 4, 2014. Tissue Biobank collects samples from different types of cancers patients prospectively. Blood samples are being sent to KI Biobank for DNA extraction and storage. Number of sample donors: 611 (June 2010) | blood, dna |
is listed by: One Mind Biospecimen Bank Listing has parent organization: Karolisnka Biobank |
Cancer | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_151440 | SCR_006043 | 2026-09-12 01:01:40 | 1 |
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.
