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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Computer Integrated Systems for Microscopy and Manipulation Resource Report Resource Website 1+ mentions |
Computer Integrated Systems for Microscopy and Manipulation (RRID:SCR_001413) | CISMM | training resource | Biomedical technology research center that develops force technologies applicable over a wide range of biological settings, from the single molecule to the tissue, with integrated systems that orchestrate facile instrument control, multimodal imaging, and analysis through visualization and modeling. The Force Microscope Technologies Core designs instruments in an area of science where there are unusual opportunities: the measurement of forces and the integration with optical microscopy. Force technologies play the obvious role of both measuring events in the sample and modifying the sample during the experiment. It is through the microscope that the force data is correlated with simultaneous 3D optical images. The force technology development includes the magnetic bead technology in the 3D Force Microscope project, Atomic Force Microscopy in the nanoManipulator project, and Control Software to drive the instrumentation. This core is focused on providing the physical capability to perform the experiments and probe structure/property correlations. The Ideal User Interfaces core makes the connection between the user and the instrument, the model building, and the data. This includes control systems that allow the user to move the bead inside the cell culture with a handheld pen and the visualization techniques to view the optical microscope data as a rendered 3D image collocated with the force data. Using data to create, change, and understand a model is the focus of the Advanced Model Fitting and Analysis core. The quantitative reduction of images to structural, shape, and velocity parameters is the goal of Image Analysis. The immediate understanding of correlations across image fields and between data sets in the challenge of Visualization. The power of combining the strength of a computer science graphics group with a microscopy technology group is most evident in the Graphics Hardware Acceleration project, which seeks to harness the speed of graphics processors for microscope data analysis and simulation. The Advanced Technology core pushes the boundaries of the Human Computer Interface through the investigation of improved techniques for the interaction of users with virtual environments, the real time lighting of virtual settings, and the enabling of multi-person collaboration. These techniques are validated and evaluated through physiological measures in virtual environments effectiveness evaluation studies. | microscope, visual analytics, image analysis, biomedical, bioinstrumatics, scanning electron microscope, light microscope, microscopy | has parent organization: University of North Carolina at Chapel Hill; North Carolina; USA | Thrombosis, Lung disease, Cancer | NIBIB 5-P41-EB002025 | Freely Available | nlx_152648 | http://cismm.cs.unc.edu/ | SCR_001413 | UNC Chapel Hill Computer Integrated Systems for Microscopy and Manipulation | 2026-02-07 02:05:32 | 8 | ||||
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ABSOLUTE Resource Report Resource Website 100+ mentions |
ABSOLUTE (RRID:SCR_005198) | ABSOLUTE | software resource | Software to estimate purity / ploidy, and from that compute absolute copy-number and mutation multiplicities. When DNA is extracted from an admixed population of cancer and normal cells, the information on absolute copy number per cancer cell is lost in the mixing. The purpose of ABSOLUTE is to re-extract these data from the mixed DNA population. This process begins by generation of segmented copy number data, which is input to the ABSOLUTE algorithm together with pre-computed models of recurrent cancer karyotypes and, optionally, allelic fraction values for somatic point mutations. The output of ABSOLUTE then provides re-extracted information on the absolute cellular copy number of local DNA segments and, for point mutations, the number of mutated alleles. |
is listed by: OMICtools has parent organization: Broad Institute |
Cancer, Normal | PMID:22544022 | Account required | OMICS_00217 | SCR_005198 | 2026-02-07 02:07:06 | 246 | |||||||
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qSNP Resource Report Resource Website 10+ mentions |
qSNP (RRID:SCR_005105) | qSNP | software resource | A single nucleotide variant caller optimised for identifying somatic variants in low cellularity cancer samples. |
is listed by: OMICtools has parent organization: University of Queensland; Brisbane; Australia |
Cancer | PMID:24250782 | OMICS_00089 | SCR_005105 | 2026-02-07 02:06:35 | 23 | ||||||||
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KGGSeq Resource Report Resource Website 50+ mentions |
KGGSeq (RRID:SCR_005311) | KGGSeq | software resource | A biological Knowledge-based mining platform for Genomic and Genetic studies using Sequence data. The software platform, constituted of bioinformatics and statistical genetics functions, makes use of valuable biologic resources and knowledge for sequencing-based genetic mapping of variants / genes responsible for human diseases / traits. It facilitates geneticists to fish for the genetic determinants of human diseases / traits in the big sea of DNA sequences. KGGSeq has paid attention to downstream analysis of genetic mapping. The framework was implemented to filter and prioritize genetic variants from whole exome sequencing data. | genomic, genetic, sequence, mutation, exome sequencing, disease, gene, variant, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian |
Monogenic disorder, Cancer | PMID:22241780 | biotools:kggseq, OMICS_02260 | https://bio.tools/kggseq | SCR_005311 | KGGSeq: A biological Knowledge-based mining platform for Genomic and Genetic studies using Sequence data | 2026-02-07 02:07:10 | 53 | |||||
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Dana-Farber Cancer Institute Resource Report Resource Website 1+ mentions |
Dana-Farber Cancer Institute (RRID:SCR_003040) | DFCI | institution |
Cancer institute that provides expert, compassionate care to children and adults with cancer while advancing the understanding, diagnosis, treatment, cure, and prevention of cancer and related diseases. As an affiliate of Harvard Medical School and a Comprehensive Cancer Center designated by the National Cancer Institute, the Institute also provides training for new generations of physicians and scientists, designs programs that promote public health particularly among high-risk and underserved populations, and disseminates innovative patient therapies and scientific discoveries to their target community across the United States and throughout the world. |
child, adult human, pediatric, young human |
has parent organization: Harvard Medical School; Massachusetts; USA is parent organization of: Spotfinder is parent organization of: TM4 Microarray Software Suite - TIGR MultiExperiment Viewer is parent organization of: Gene Index Project is parent organization of: CistromeMap is parent organization of: BINOCh is parent organization of: Dana Farber Tissue Bank is parent organization of: CistromeFinder is parent organization of: TM4 is parent organization of: WorfDB is parent organization of: Predictive Networks is parent organization of: RamiGO is parent organization of: DFCI Animal Resources Facility is parent organization of: DFCI Biohazard Containment Core Facility is parent organization of: DFCI Biospecimen Repository Core Facility is parent organization of: DFCI Blais Proteomics Center is parent organization of: DFCI Clinical Research Laboratory is parent organization of: DFCI Survey and Data Management Core is parent organization of: DFCI Flow Cytometry Core Facility is parent organization of: DFCI Medical Arts Core Facility is parent organization of: DFCI Microarray Core Facility is parent organization of: Dana-Farber Cancer Institute Molecular Biology Core Facility is parent organization of: DFCI RNA Interference Screening Facility is parent organization of: DFCI Shannon McCormack Advanced Molecular Diagnostics Laboratory is parent organization of: MAnorm is parent organization of: NPS is parent organization of: DFCI Confocal and Light Microscopy Core Facility is parent organization of: DFCI Monoclonal Antibody Core Facility is parent organization of: Dana-Farber Cancer Institute Labs and Facilities is parent organization of: DFCI Center for Cancer Computational Biology is parent organization of: GeneSigDB is parent organization of: MACS is parent organization of: DGAP |
Cancer | NCI ; Jimmy Fund |
Free, Freely available | Crossref funder ID: 100007886, grid.65499.37, Wikidata: Q1159198, ISNI: 0000 0001 2106 9910, nif-0000-30432 | https://ror.org/02jzgtq86 | SCR_003040 | Dana Farber Cancer Institute, Dana-Farber | 2026-02-07 02:05:53 | 6 | ||||
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deCODE genetics Resource Report Resource Website 50+ mentions |
deCODE genetics (RRID:SCR_003334) | deCODE | commercial organization | A biopharmaceutical company applying its discoveries in human genetics to develop drugs and diagnostics for common diseases. They specialize in gene discovery - their population approach and resources have enabled them to isolate key genes contributing to major public health challenges from cardiovascular disease to cancer. The company's genotyping capacity is now one of the highest in the world. They have a large population-based biobank containing whole blood and DNA samples with extensive relevant phenotypic information from around 120.000 Icelanders. In the company's work in more than 50 disease projects, their statistical and informatics departments have established themselves in data processing and analysis. deCODE genetics is widely recognized as a center of excellence in genetic research. | biopharmaceutical, genetics, drug, diagnostic, genotyping, phenotype, data processing, analysis, genetic variant, risk factor, genome, blood, dna, biobank, single nucleotide polymorphism |
is related to: EU-AIMS is related to: NEWMEDS |
Schizophrenia, Cardiovascular disease, Cancer, Type 2 diabetes, Atrial fibrillation, Heart attack | Free, Freely available | nif-0000-31959, ISNI: 0000 0004 0618 6889, grid.421812.c, Wikidata: Q493712 | https://ror.org/04dzdm737 | SCR_003334 | Islensk Erfdagreining EHF, Islensk Erfdagreining | 2026-02-07 02:05:59 | 55 | |||||
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SamSPECTRAL Resource Report Resource Website 1+ mentions |
SamSPECTRAL (RRID:SCR_001858) | software resource | Software that identifies cell population in flow cytometry data. It demonstrates significant advantages in proper identification of populations with non-elliptical shapes, low density populations close to dense ones, minor subpopulations of a major population and rare populations. It samples large data such that spectral clustering is possible while preserving density information in edge weights. More specifically, given a matrix of coordinates as input, SamSPECTRAL first builds the communities to sample the data points. Then, it builds a graph and after weighting the edges by conductance computation, the graph is passed to a classic spectral clustering algorithm to find the spectral clusters. The last stage of SamSPECTRAL is to combine the spectral clusters. The resulting connected components estimate biological cell populations in the data sample. | software package, mac os x, unix/linux, windows, r, cell biology, clustering, flow cytometry, stem cell, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: Bioconductor |
Cancer, HIV | PMID:20667133 | Free, Available for download, Freely available | OMICS_05638, biotools:samspectral | https://bio.tools/samspectral | SCR_001858 | SamSPECTRAL - Identifies cell population in flow cytometry data | 2026-02-07 02:05:37 | 4 | |||||
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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 | Terry Fox Research Institute ; Canadian Institutes for Health Research ; Canada National Sciences and Engineering Research Council |
PMID:23734724 | Free, Available for download, Freely available | OMICS_02108 | SCR_000073 | 2026-02-07 02:05:16 | 1 | |||||
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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 | 2026-02-07 02:05:16 | 2 | |||||
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Center for In Vivo Microscopy Resource Report Resource Website 10+ mentions |
Center for In Vivo Microscopy (RRID:SCR_001426) | CIVM | biomedical technology research center, training resource | Biomedical technology research center dedicated to the development of novel imaging methods for the basic scientist and the application of the methods to important biomedical questions. The CIVM has played a major role in the development of magnetic resonance microscopy with specialized MR imaging systems capable of imaging at more than 500,000x higher resolution than is common in the clinical domain. The CIVM was the first to demonstrate MR images using hyperpolarized 3He which has been moved from mouse to man with recent clinical trials performed at Duke in collaboration with GE. More recently the CIVM has developed the molecular imaging workbench---a system dedicated to multimodality cardiopulmonary imaging in the rodent. Their collaborators are employing these unique imaging systems in an extraordinary range of mouse and rat models of neurologic disease, cardiopulmonary disease and cancer to illuminate the underlying biology and explore new therapies. | imaging, magnetic resonance microscopy, magnetic resonance imaging, clinical, mri, ct, x-ray, ultrasound, confocal, optical, spect | has parent organization: Duke University; North Carolina; USA | Cardiopulmonary disease, Cancer, Neurological disease | NIBIB 4P41EB015897-27 | Free, Freely Available | nlx_152650 | SCR_001426 | Duke Center for In Vivo Microscopy | 2026-02-10 09:54:30 | 10 | |||||
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Brain and Body Donation Program Resource Report Resource Website 100+ mentions |
Brain and Body Donation Program (RRID:SCR_004822) | BBDP | biomaterial supply resource, tissue bank, material resource, brain bank | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. An autopsy-based, research-devoted brain bank, biobank and biospecimen bank that derives its human donors from the Arizona Study of Aging and Neurodegenerative Disease (AZSAND), a longitudinal clinicopathological study of the health and diseases of elderly volunteers living in Maricopa county and metropolitan Phoenix, Arizona. Their function is studied during life and their organs and tissue after death. To date, they have concentrated their studies on Alzheimer's disease, Parkinson's disease, heart disease and cancer. They share the banked tissue, biomaterials and biospecimens with qualified researchers worldwide. Registrants with suitable scientific credentials will be allowed access to a database of available tissue linked to relevant clinical information, and will allow tissue requests to be initiated., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | brain, late adult human, autopsy, mini mental state examination, neuropathological data, medical history, organ, tissue, brain, blood serum, cerebral spinal fluid, clinical, FASEB list |
is listed by: One Mind Biospecimen Bank Listing has parent organization: Banner Sun Health Research Institute |
Aging, Age-related disease, Alzheimer's disease, Parkinson's disease, Arthritis, Prostate cancer, Neurodegenerative disease, Cancer, Progressive supranuclear palsy, Hippocampal sclerosis, Vascular dementia, Dementia with Lewy bodies, Multiple system atrophy, Motor neuron disease, Frontotemporal lobar dementia, Corticobasal degeneration, Dementia, Cerebrovascular disease, Atherosclerosis, Renal hypertensive disease, Fatty liver, Type II diabetes | Michael J. Fox Foundation for Parkinson's Research ; Sun Health Foundation |
PMID:25619230 PMID:33143239 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_80798 | http://www.bannerhealth.com/Research/Research+Institutes/Banner+Sun+Health+Research+Institute/Research/Research+Programs/Brain+and+Body+Donation/Brain+and+Tissue+Bank.htm | http://www.bannerhealth.com/Research/Research+Institutes/Banner+Sun+Health+Research+Institute/Ways+to+Give/Brain+and+Tissue/_Brain+and+Tissue.htm, http://www.bannerhealth.com/Research/Research+Institutes/Banner+Sun+Health+Research+Institute/Research/Research+Programs/Brain+and+Tissue/_Brain+and+Tissue.htm | SCR_004822 | Banner Sun Health Research Institute Brain and Tissue Bank, Banner Health Brain and Tissue Bank, Brain / Body Donation Program, Banner Brain and Tissue Bank, Banner Sun Health Research Institute Brain and Body Donation Program, Brain/Body Donation Program | 2026-02-11 10:57:04 | 121 | ||
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GSE4922 Resource Report Resource Website 100+ mentions |
GSE4922 (RRID:SCR_003557) | GSE4922 | data or information resource, data set | Curated data set of a study that investigated the expression profiles of 347 primary invasive breast tumors on Affymetrix microarrays. Three separate breast cancer cohorts were analyzed: 1) Uppsala (n=249), 2) Stockholm (n=58), 3) Singapore (n=40). The Uppsala and Singapore data can be accessed in GSE4922. The Stockholm cohort data can be accessed at GEO Series GSE1456. | adult human, expression profile, breast |
is related to: Gene Expression Omnibus has parent organization: RanchoBiosciences |
Cancer, Breast cancer, Tumor | Free, Public | nlx_157796 | SCR_003557 | 2026-02-11 10:56:45 | 110 | |||||||
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CancerResource Resource Report Resource Website 1+ mentions |
CancerResource (RRID:SCR_011945) | data or information resource, database | Comprehensive database of cancer relevant proteins and compound interactions supported by experimental knowledge.Knowledgebase for drug-target relationships related to cancer as well as for supporting information or experimental data. | compound, drug, target gene, cancer relevant proteins, compound interactions, drug-target relationships, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools |
Cancer | International Research Training Group IRTG ; DFG ; Federal Ministry of Education and Research BMBF ; European Union |
PMID:20952398 | Free, Freely available | biotools:cancerresource, OMICS_01576 | https://bio.tools/cancerresource | http://bioinf-data.charite.de/cancerresource/index.php?site=home | SCR_011945 | 2026-02-11 10:58:33 | 5 | ||||
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Genomics of Drug Sensitivity in Cancer Resource Report Resource Website 1000+ mentions |
Genomics of Drug Sensitivity in Cancer (RRID:SCR_011956) | Genomics of Drug Sensitivity in Cancer | data or information resource, database | A genomics database project is an academic research program to identify molecular features of cancers that predict response to anti-cancer drugs. | compound, gene, molecule, drug, FASEB list |
is listed by: OMICtools has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Cancer | Wellcome Trust | OMICS_01581 | SCR_011956 | 2026-02-11 10:58:26 | 1418 | |||||||
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Cancer Methylome System Resource Report Resource Website 1+ mentions |
Cancer Methylome System (RRID:SCR_012013) | CMS | data or information resource, database | Datbase and web-based system for visualization and analysis of genome-wide methylation data of human cancers. | gene, methylation, visualization |
is listed by: OMICtools has parent organization: University of Texas Health Science Center at San Antonio; Texas; USA |
Cancer, Normal | NCI | PMID:22035855 | Acknowledgement requested | OMICS_01836 | SCR_012013 | 2026-02-11 10:58:29 | 8 | |||||
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DBCAT Resource Report Resource Website 10+ mentions |
DBCAT (RRID:SCR_012014) | DBCAT | data or information resource, database | A database of CpG islands and analytical tools for identifying comprehensive methylation profiles in cancer cells. | is listed by: OMICtools | Cancer | PMID:21214365 | OMICS_01837 | SCR_012014 | 2026-02-11 10:58:27 | 40 | ||||||||
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Research-tested Intervention Programs (RTIPs) Resource Report Resource Website 10+ mentions |
Research-tested Intervention Programs (RTIPs) (RRID:SCR_016042) | RTIPs | data or information resource, database | Database of cancer control interventions and program materials. It is designed to provide program planners and public health practitioners easy and immediate access to research-tested materials. | cancer, control, intervention, prevention, diagnosis, planning, research, program, public, health, bio.tools, FASEB list |
is listed by: bio.tools is listed by: Debian |
cancer | NCI | Freely available, Public | biotools:rtips | https://bio.tools/rtips | SCR_016042 | Research-tested Intervention Programs | 2026-02-11 10:59:18 | 25 | ||||
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MPDB - Molecular Probe Database Resource Report Resource Website |
MPDB - Molecular Probe Database (RRID:SCR_007808) | MPDB | data or information resource, database | A database containing information on ca. 4300 synthetic oligonucleotides with a sequence of up to 100 nucleotides. Data are mainly taken from the literature and are encoded on the basis of controlled vocabularies. The probes target 821 different genes, of which 691 human and 112 viral. The probes can be used for genetic polymorphisms study (1944), human inherited disease diagnosis (834), cancer diagnosis (517), infectious disease diagnosis (517), neurologic disease diagnosis (72), autoimmune disease diagnosis (40). Oligonucleotides are described on the basis of: name, oligo type (primer, probe, antisense), nucleotide sequence, amino acid sequence (if part of a coding region), target gene and related infos (localization within the gene and recognized variants or specificities), applications, methods, technical notes, complementary primer (if used for PCR), primers for amplification (if probe), bibliographic references. At the moment MPDB is searchable through some SRS servers. MPDB can easily be retrieved from our FTP server, together with SRS syntax files. Typology * ca. 4300 oligonucleotides * 821 different genes, of which 691 human and 112 viral * ca. 3536 oligonucleotides are human gene specific * ca. 620 oligonucleotides are viral gene specific | molecular probe, synthetic oligonucleotide, molecule, probe, synthetic, oligonucleotide, nucleotide sequence, amino acid sequence, oligo probe, oligo dna, pcr primer, virus | has parent organization: IST National Institute for Cancer Research; Genoa; Italy | Genetic polymorphism, Inherited disease, Infectious disease, Neurologic disease, Autoimmune disease, Cancer | PMID:9399819 PMID:9016509 PMID:8594603 PMID:7937049 PMID:8332523 PMID:1598231 |
nif-0000-03165 | SCR_007808 | Molecular Probe Data Base (MPDB), Molecular Probe Data Base, Molecular Probe Database | 2026-02-11 10:57:40 | 0 | ||||||
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NetPath Resource Report Resource Website 50+ mentions |
NetPath (RRID:SCR_003567) | NetPath | data or information resource, database | A manually curated resource of signal transduction pathways in humans. All pathways are freely available for download in BioPAX level 3.0, PSI-MI version 2.5 and SBML version 2.1 formats. The slim pathway models representing only core reactions in each pathway are available at NetSlim. All the NetPath pathway models are also submitted to WikiPathways., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | pathway, signal transduction, molecule, physical interaction, gene, transcriptional regulation, transport, enzyme catalysis, immune, signaling pathway, FASEB list |
is related to: WikiPathways is related to: ConsensusPathDB has parent organization: Johns Hopkins University; Maryland; USA has parent organization: Institute of Bioinformatics; Bangalore; India |
Cancer | PMID:20067622 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_157701, r3d100011009 | https://doi.org/10.17616/R34G98 | SCR_003567 | 2026-02-11 10:56:46 | 90 | |||||
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pSTIING Resource Report Resource Website 1+ mentions |
pSTIING (RRID:SCR_002045) | pSTIING | data or information resource, database | A publicly accessible knowledgebase about protein-protein, protein-lipid, protein-small molecules, ligand-receptor interactions, receptor-cell type information, transcriptional regulatory and signal transduction modules relevant to inflammation, cell migration and tumourigenesis. It integrates in-house curated information from the literature, biochemical experiments, functional assays and in vivo studies, with publicly available information from multiple and diverse sources across human, rat, mouse, fly, worm and yeast. The knowledgebase allowing users to search and to dynamically generate visual representations of protein-protein interactions and transcriptional regulatory networks. Signalling and transcriptional modules can also be displayed singly or in combination. This allow users to identify important "cross-talks" between signalling modules via connections with key components or "hubs". The knowledgebase will facilitate a "systems-wide" understanding across many protein, signalling and transcriptional regulatory networks triggered by multiple environmental cues, and also serve as a platform for future efforts to computationally and mathematically model the system behavior of inflammatory processes and tumourigenesis. | protein-protein, protein-lipid, protein-small molecule, ligand-receptor interaction, receptor-cell type, transcriptional regulatory module, signal transduction module, inflammation, cell migration, tumorigenesis, protein-protein interaction, transcriptional regulatory network, signalling pathway, interaction, protein interaction, motif, domain, protein, gene |
is listed by: OMICtools is related to: Gene Ontology has parent organization: University College London; London; United Kingdom |
Inflammation, Tumor, Cancer | PMID:16381926 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01916 | SCR_002045 | Protein Signalling Transcriptional Interactions and Inflammation Networks Gateway, Protein Signalling Transcriptional Interactions & Inflammation Networks Gateway | 2026-02-11 10:56:24 | 2 |
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