Searching the RRID Resource Information Network
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 | |||||||||||||
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Ohio State Leukemia Tissue Bank Resource Report Resource Website |
Ohio State Leukemia Tissue Bank (RRID:SCR_000529) | LTBSR | material resource, tissue bank, biomaterial supply resource | The OSU Comprehensive Cancer Center Leukemia Tissue Bank Shared Resource (LTBSR) facilitates the successful translation of basic leukemia research to the clinical setting via an extensive repository of tissue samples and accompanying pathologic, cytogenetic and clinical data for ready correlation of clinical and biological results. The LTBSR, which is an NCI-sponsored biorepository, has more than 40,000 vials of cryopreserved viable cells and 13,000 vials of matched frozen plasma and/or serum samples from more than 4,000 patients treated for leukemia and other malignancies. Committed to furthering translational research efforts for OSUCCC - James members and the cancer research community, the LTBSR provides investigators with training and technical support as well as procurement, processing, storage, retrieval and distribution of clinical research materials. In many cases, the LTBSR serves as the central processing lab for multi-site trials in which the principal investigator is an OSUCCC - James member. The LTBSR's goals are to: * Provide a central collection, processing and a state-of-the-art repository for samples collected from leukemia patients treated on OSUCCC - James protocols, and * Provide materials to investigators involved in collaborative studies with OSU, who examine relevant cellular and molecular properties of leukemia and correlate these properties with clinical or population-based outcomes. | leukemia, tissue, plasma, serum, cell, cells, viable cells, cryopreserved viable cells, pathologic data, cytogenetic data, clinical data, frozen, cryopreserved, malignancy, cancer |
is listed by: One Mind Biospecimen Bank Listing has parent organization: OSUCCC-James |
Leukemia, Cancer | NCI 2P30CA016058-40 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_55663 | http://www.osuccc.osu.edu/11167.cfm | SCR_000529 | OSUCCC Leukemia Tissue Bank Shared Resource, OSUCCC LTBSR, OSU Comprehensive Cancer Center Leukemia Tissue Bank Shared Resource | 2026-02-15 09:17:56 | 0 | ||||
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tximport Resource Report Resource Website 50+ mentions |
tximport (RRID:SCR_016752) | software application, data processing software, data analysis software, software resource | Software R package for importing pseudoaligned reads into R for use with downstream differential expression analysis. Used for import and summarize transcript level estimates for transcript and gene level analysis. | pseudoaligned, reads, R, differential, expression, analysis, gene, transcript, bio.tools |
is listed by: Bioconductor is listed by: Debian is listed by: bio.tools works with: edgeR works with: DESeq2 |
SNSF 143883; European Commission ; NCI T32 CA009337 |
DOI:10.12688/f1000research.7563.1 | Free, Available for download, Freely available | biotools:tximport | https://bioconductor.org/packages/tximport/ https://bioconductor.org/packages/devel/bioc/vignettes/tximport/inst/doc/tximport.html https://github.com/F1000Research/tximport https://bio.tools/tximport |
https://zenodo.org/record/35123#.W_w3behKiM8 | SCR_016752 | tximport v1.4.0 | 2026-02-15 09:21:55 | 91 | ||||
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Human Reference Protein Interactome Project Resource Report Resource Website 10+ mentions |
Human Reference Protein Interactome Project (RRID:SCR_015670) | HuRI | portal, database, software resource, web application, project portal, data or information resource | Project portal for the Human Reference Protein Interactome Project, which aims generate a first reference map of the human protein-protein interactome network by identifying binary protein-protein interactions (PPIs). It achieves this by systematically interrogating all pairwise combinations of predicted human protein-coding genes using proteome-scale technologies. | protein interactome, protein-protein interaction, ppi, pairwise combination, proteome, human reference | NHGRI R01/U01HG001715; NHGRI P50HG004233; NHLBI U01HL098166; NHLBI U01HL108630; NCI U54CA112962; NCI R33CA132073; NIH RC4HG006066; NICHD ARRA R01HD065288; NICHD ARRA R21MH104766; NICHD ARRA R01MH105524; NIMH R01MH091350; NSF CCF-1219007; NSERC RGPIN-2014-03892 |
PMID:25416956 | Freely Available, Free, Available for download | SCR_015670 | HuRI: The Human Reference Protein Interactome Mapping Project | 2026-02-15 09:21:22 | 20 | |||||||
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Polysolver Resource Report Resource Website 10+ mentions |
Polysolver (RRID:SCR_022278) | software application, data processing software, data analysis software, software resource | Software tool for HLA typing based on whole exome sequencing data and infers alleles for three major MHC class I genes. Enables accurate inference of germline alleles of class I HLA-A, B and C genes and subsequent detection of mutations in these genes using inferred alleles as reference. | HLA typing, whole exome sequencing data, accurate inference of germline alleles, high precision HLA-typing, alleles of class I HLA-A, B and C genes, detection of mutations, inferred alleles | has parent organization: Broad Institute | Blavatnik Family Foundation ; NHLBI 1RO1HL103532; NCI 1R01CA155010; AACR |
PMID:26372948 | Free, Available for download, Freely available | SCR_022278 | POLYmorphic loci reSOLVER, POLYSOLVER | 2026-02-15 09:22:42 | 30 | |||||||
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CytoTRACE Resource Report Resource Website 100+ mentions |
CytoTRACE (RRID:SCR_022828) | software application, simulation software, software resource | Software tool that predicts differentiation state of cells from single cell RNA sequencing data. Used for predicting differentiation states from scRNA-seq data. | differentiation state of cells, single cell RNA sequencing data, predicting differentiation states, scRNA-seq data | NCI R00CA187192; NCI R01CA100225; Stinehart Reed foundation ; Stanford Bio-X Interdisciplinary Initiatives Seed Grants Program ; Virginia and D.K. Ludwig Fund for Cancer Research ; U.S. Department of Defense ; National Science Foundation Graduate Research Fellowship ; Stanford Bio-X Bowes Graduate Student Fellowship ; Stanford Medical Science Training Program |
PMID:31974247 | Free, Freely available | SCR_022828 | Cellular (Cyto) Trajectory Reconstruction Analysis using gene Counts and Expression | 2026-02-15 09:22:53 | 132 | ||||||||
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CPCTR: Cooperative Prostate Cancer Tissue Resource Resource Report Resource Website 1+ mentions |
CPCTR: Cooperative Prostate Cancer Tissue Resource (RRID:SCR_000803) | CPCTR | material resource, tissue bank, biomaterial supply resource | THIS RESOURCE IS NO LONGER IN SERVICE. Doumented on September 23,2022. The National Cancer Institute initially established the Cooperative Prostate Cancer Tissue Resource (CPCTR) to provide prostate cancer tissue samples with clinical annotation to researchers. The Resource provides access to formalin-fixed, paraffin-embedded primary prostate cancer tissue with associated clinical and follow-up data for research studies, particularly studies focused on translating basic research findings into clinical application. Fresh-frozen tissue is also available with limited clinical follow up information since these are more recent cases. The Resource database contains pathologic and clinical information linked to a large collection of prostate tissue specimens that is available for research. Researchers can determine whether the Resource has the tissues and patient data they need for their individual research studies. Consultation and interpretive services: Assistance is available from trained CPCTR pathologists. The CPCTR can provide consultative assistance in staining interpretation, and scoring, on a collaborative basis. Fresh Frozen and Paraffin Tissue: The resource has over 7,000 annotated cases (including 7,635 specimens and 38,399 annotated blocks). Tissue Microarrays (TMA): The CPCTR has slides from prostate cancer TMAs with associated clinical data. The information provided for each case on the arrays (derived from radical prostatectomy specimens) includes: age at diagnosis, race, PSA at diagnosis, tumor size, TNM stage, Gleason score and grade, and vital status and other variables. | prostate cancer, tissue microarray, fresh frozen, paraffin tissue, tumor, tissue, primary prostate cancer tissue, clinical data, follow-up data, outcome data, formalin-fixed paraffin-embedded |
is listed by: One Mind Biospecimen Bank Listing has parent organization: University of Pittsburgh; Pennsylvania; USA |
Prostate cancer | NCI CA086772 | PMID:15269132 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_143725 | SCR_000803 | Cooperative Prostate Cancer Tissue Resource | 2026-02-15 09:17:59 | 2 | ||||
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University of Minnesota Tissue Procurement Facility Resource Report Resource Website |
University of Minnesota Tissue Procurement Facility (RRID:SCR_004270) | TPF | material resource, tissue bank, biomaterial supply resource | Procure and distribute human tissue and other biological samples in support of basic, translational, and clinical cancer research at the University of Minnesota. The TPF is a centralized resource with standardized patient consent, sample collection, processing, storage, quality control, distribution, and electronic record maintenance. Since the 1996 inception of the TPF, over 61,000 tissue samples including well-preserved samples of malignant and benign tumors, organ-matched normal tissue, and other types of diseased tissues, have been collected from surgical specimens obtained at the University of Minnesota Medical Center-Fairview (UMMC-F) University Campus. Surgical pathologists are intellectually engaged in TPF functions, providing researchers with specimen-oriented medical consultation to facilitate research productivity. Prior to surgery, TPF personnel identify and consent patients for procurement of tissue, blood, urine, saliva, and ascites fluid. Within the integrated working environment of the surgical pathology laboratory, freshly obtained tissues not needed for diagnosis are selected and provided by pathologists to TPF personnel. Tissue samples are then assigned an independent code and processed. TPF staff can also work with researchers to individualize the procurement of tissues to fit specific research needs. | human, tissue, biological sample, basic research, translational research, clinical research, cancer research, cancer, malignant tumor, benign tumor, organ-matched normal tissue, normal tissue, diseased tissue, blood, urine, saliva, ascites fluid |
is listed by: One Mind Biospecimen Bank Listing has parent organization: University of Minnesota Twin Cities; Minnesota; USA |
Cancer, Malignant tumor, Benign tumor, Organ-matched normal tissue, Normal tissue, Diseased tissue | UMN Academic Health Center ; NCI P30 CA77598; NCI P50 CA101955 |
In support of basic, Translational, And clinical cancer research at the University of Minnesota | nlx_28712 | SCR_004270 | Tissue Procurement Facility, UMN TPF, University of Minnesota Tissue Bank | 2026-02-15 09:18:40 | 0 | |||||
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AIDS and Cancer Specimen Resource Resource Report Resource Website 10+ mentions |
AIDS and Cancer Specimen Resource (RRID:SCR_004216) | ACSR | material resource, tissue bank, biomaterial supply resource | A biorepository for HIV-infected human biospecimens from a wide spectrum of HIV-related or associated diseases, including cancer, and from appropriate HIV-negative controls. The ACSR has formalin-fixed paraffin embedded biospecimens, fresh frozen biospecimens, malignant cell suspensions, fine needle aspirates, and cell lines from patients with HIV-related malignancies. It also contains serum, plasma, urine, bone marrow, cervical and anal specimens, saliva, semen, and multi-site autopsy speicmens from patients with HIV-related malignancies including those who have participated in clinical trials. The ACSR has an associated databank that contains prognostic, staging, outcome and treatment data on patients from whom tissues were obtained. The ACSR database contains more than 300,000 individual biospecimens with associated clinical information. Biospecimens are entered into the ACSR database by processing type, disease category, and number of cases defined by disease category. | aids, hiv, cancer, virology, immunology, pathology, epidemiology, tumor, assay development, clinical data, clinical, tumor tissue, biological fluid, bodily fluid, malignant cell suspension, fine needle aspirate, cell line, serum, plasma, urine, bone marrow, cervical specimen, anal specimen, saliva, semen |
is listed by: One Mind Biospecimen Bank Listing has parent organization: University of California at San Francisco; California; USA |
AIDS, Cancer, HIV-associated malignancy, HIV | NCI | nlx_23946 | http://acsr.ucsf.edu/Home/tabid/37/Default.aspx | SCR_004216 | ACSR - AIDS and Cancer Specimen Resource | 2026-02-15 09:18:39 | 15 | |||||
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National Surgical Adjuvant Breast and Bowel Project Tissue Bank Resource Report Resource Website |
National Surgical Adjuvant Breast and Bowel Project Tissue Bank (RRID:SCR_004506) | NSABP Tissue Bank | material resource, tissue bank, biomaterial supply resource | The NSABP (National Surgical Adjuvant Breast and Bowel Project) Tissue Bank is the central repository of tissue samples (stained and unstained slides, tissue blocks, and frozen tissue specimens) collected from clinical trials conducted by the NSABP. The main scientific aim of the NSABP Division of Pathology is to develop clinical context-specific prognostic markers and predictive markers that predict response to or benefit from specific therapeutic modality. To achieve this aim, the laboratory collects the tumor and adjacent normal tissues from cancer patients enrolled into the NSABP trials through its membership institutions, and maintain these valuable materials with clinical follow-up information and distribute them to qualified approved investigators. Currently, specimens from more than 90,000 cases of breast and colon cancer are stored and maintained at the bank. Paraffin embedded tumor specimens are available from NSABP trials. We currently do not bank frozen tissues. All blocks are from patients enrolled in prospective NSABP treatment protocols and complete clinical follow up information as well as demographic information is available. Depending on the project, unstained tissue sections of 4-micrometer thickness, tissue microarrays, or stained slides are provided to the investigators in a blinded study format. Any investigators with novel projects that conform to the research goals of NSABP may apply for the tissue. Please refer to the NSABP Tissue Bank Policy to determine if your project conforms to these goals. Priority is given to NSABP membership institutions who regularly submit tissue blocks. | clinical, clinical data, demographic data, tumor, specimen, breast tissue, bowel tissue, tumor tissue, adjacent normal tissue, tissue, stained slide, unstained slide, tissue block, paraffin embedded, tissue microarray, cancer, breast cancer, colon cancer, normal |
is listed by: One Mind Biospecimen Bank Listing has parent organization: University of Pittsburgh; Pennsylvania; USA |
Cancer, Breast cancer, Colon cancer | NCI | Public: Any investigators with novel projects that conform to the research goals of NSABP may apply for the tissue. Priority is given to NSABP membership institutions who regularly submit tissue blocks. | nlx_48875 | http://www.nsabp.pitt.edu/NSABP_Pathology.asp#2.%20Tissue%20Bank | SCR_004506 | National Surgical Adjuvant Breast Bowel Project Tissue Bank | 2026-02-15 09:18:48 | 0 | ||||
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omniBiomarker Resource Report Resource Website 1+ mentions |
omniBiomarker (RRID:SCR_005750) | omniBiomarker | service resource, analysis service resource, data analysis service, production 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 | 2026-02-15 09:19:03 | 3 | |||||
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caTRIP Resource Report Resource Website 1+ mentions |
caTRIP (RRID:SCR_003409) | caTRIP | software application, data processing software, data analysis software, software resource | THIS RESOURCE IS NO LONGER IN SERVICE documented June 4, 2013. Allows users to query across a number of caBIG data services, join on common data elements (CDEs), and view results in a user-friendly interface. With an initial focus on enabling outcomes analysis, caTRIP allows clinicians to query across data from existing patients with similar characteristics to find treatments that were administered with success. In doing so, caTRIP can help inform treatment and improve patient care, as well as enable the searching of available tumor tissue, enable locating patients for clinical trials, and enable investigating the association between multiple predictors and their corresponding outcomes such as survival caTRIP relies on the vast array of open source caBIG applications, including: * Tumor Registry, a clinical system that is used to collect endpoint data * cancer Text Information Extraction System (caTIES), a locator of tissue resources that works via the extraction of clinical information from free text surgical pathology reports. while using controlled terminologies to populate caBIG-compliant data structures * caTissue CORE, a tissue bank repository tool for biospecimen inventory, tracking, and basic annotation * Cancer Annotation Engine (CAE), a system for storing and searching pathology annotations * caIntegrator, a tool for storing, querying, and analyzing translational data, including SNP data Requires Java installation and network connectivity. | element, clinical, patient, structure, tissue, trial, tumor, common data element, clinician, data technician, java, outcomes research, ctsa | has parent organization: Cancer Biomedical Informatics Grid | NCI | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-33400 | SCR_003409 | 2026-02-15 09:18:30 | 2 | |||||||
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Protege Resource Report Resource Website 100+ mentions |
Protege (RRID:SCR_003299) | Protege | software application, software resource, authoring tool | Protege is a free, open-source platform that provides a growing user community with a suite of tools to construct domain models and knowledge-based applications with ontologies. At its core, Protege implements a rich set of knowledge-modeling structures and actions that support the creation, visualization, and manipulation of ontologies in various representation formats. Protege can be customized to provide domain-friendly support for creating knowledge models and entering data. Further, Protege can be extended by way of a plug-in architecture and a Java-based Application Programming Interface (API) for building knowledge-based tools and applications. An ontology describes the concepts and relationships that are important in a particular domain, providing a vocabulary for that domain as well as a computerized specification of the meaning of terms used in the vocabulary. Ontologies range from taxonomies and classifications, database schemas, to fully axiomatized theories. In recent years, ontologies have been adopted in many business and scientific communities as a way to share, reuse and process domain knowledge. Ontologies are now central to many applications such as scientific knowledge portals, information management and integration systems, electronic commerce, and semantic web services. The Protege platform supports two main ways of modeling ontologies: * The Protege-Frames editor enables users to build and populate ontologies that are frame-based, in accordance with the Open Knowledge Base Connectivity protocol (OKBC). In this model, an ontology consists of a set of classes organized in a subsumption hierarchy to represent a domain's salient concepts, a set of slots associated to classes to describe their properties and relationships, and a set of instances of those classes - individual exemplars of the concepts that hold specific values for their properties. * The Protege-OWL editor enables users to build ontologies for the Semantic Web, in particular in the W3C's Web Ontology Language (OWL). An OWL ontology may include descriptions of classes, properties and their instances. Given such an ontology, the OWL formal semantics specifies how to derive its logical consequences, i.e. facts not literally present in the ontology, but entailed by the semantics. These entailments may be based on a single document or multiple distributed documents that have been combined using defined OWL mechanisms (see the OWL Web Ontology Language Guide). Protege is based on Java, is extensible, and provides a plug-and-play environment that makes it a flexible base for rapid prototyping and application development. | ontology, java, develop, manage, edit, plug-in, FASEB list |
is listed by: Biositemaps is related to: National Center for Biomedical Ontology is related to: Jambalaya has parent organization: Stanford University School of Medicine; California; USA has parent organization: Stanford Center for Biomedical Informatics Research |
Defense Advanced Research Projects Agency ; eBay ; NCI ; NIST - National Institute of Standards and Technology ; National Centers for Biomedical Computing ; NSF ; Neural ElectroMagnetic Ontologies NEMO ; Pfizer ; NLM LM007885 |
PMID:17687607 | Free, download Freely available | nif-0000-31708 | SCR_003299 | Protégé, Protege Project | 2026-02-15 09:18:29 | 147 | |||||
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eDoctoring Resource Report Resource Website 1+ mentions |
eDoctoring (RRID:SCR_003336) | eDoctoring | continuing medical education, training material, training resource, service resource, data or information resource, narrative resource, training service resource | Online educational tool that brings challenging clinical practice to your computer, providing medical education that is engaging, challenging and interactive. While there is no substitute for real-life direct contact with patients or colleagues, research has shown that interactive online education can be a highly effective and enjoyable method of learning many components of clinical medicine, including ethics, clinical management, epidemiology and communication skills. eDoctoring offers 25 simulated clinical cases, 15 interactive tutorials and a virtual library containing numerous articles, fast facts and video clips. Their learning material is arranged in the following content areas: * Ethical, Legal and Social Implications of Genetic Testing * Palliative and End-of-Life Care * Prostate Cancer Screening and Shared Decision-Making | clinical, medical education, medical, clinical medicine, ethics, clinical management, epidemiology, communication, legal, social, implication, genetic testing, palliative care, end-of-life care, prostate cancer screening, decision-making, prostate cancer, medicine, tutorial, article, video, fact, training material |
has parent organization: Newcastle University; Newcastle upon Tyne; United Kingdom has parent organization: University of California; California; USA |
NCI ; NIH ; CDC ; NHGRI ; Health Resources and Services Administration ; Paul G. Allen Family Foundation ; Robert Wood Johnson Foundation |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-31964 | http://edoctoring.ncl.ac.uk/System_Check/psa_detect_html;clickonRouletteWheels | SCR_003336 | 2026-02-15 09:18:29 | 1 | ||||||
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caTIES - Cancer Text Information Extraction System Resource Report Resource Website |
caTIES - Cancer Text Information Extraction System (RRID:SCR_003444) | caTIES | software application, data processing software, software resource, data access protocol, web service | The Cancer Text Information Extraction System (caTIES) provides tools for de-identification and automated coding of free-text structured pathology reports. It also has a client that can be used to search these coded reports. The client also supports Tissue Banking and Honest Broker operations. caTIES focuses on two important challenges of bioinformatics * Information extraction (IE) from free text * Access to tissue. Regarding the first challenge, information from free-text pathology documents represents a vital and often underutilized source of data for cancer researchers. Typically, extracting useful data from these documents is a slow and laborious manual process requiring significant domain expertise. Application of automated methods for IE provides a method for radically increasing the speed and scope with which this data can be accessed. Regarding the second challenge, there is a pressing need in the cancer research community to gain access to tissue specific to certain experimental criteria. Presently, there are vast quantities of frozen tissue and paraffin embedded tissue throughout the country, due to lack of annotation or lack of access to annotation these tissues are often unavailable to individual researchers. caTIES has three goals designed to solve these problems: * Extract coded information from free text Surgical Pathology Reports (SPRs), using controlled terminologies to populate caBIG-compliant data structures. * Provide researchers with the ability to query, browse and create orders for annotated tissue data and physical material across a network of federated sources. With caTIES the SPR acts as a locator to tissue resources. * Pioneer research for distributed text information extraction within the context of caBIG. caTIES focuses on IE from SPRs because they represent a high-dividend target for automated analysis. There are millions of SPRs in each major hospital system, and SPRs contain important information for researchers. SPRs act as tissue locators by indicating the presence of tissue blocks, frozen tissue and other resources, and by identifying the relationship of the tissue block to significant landmarks such as tumor margins. At present, nearly all important data within SPRs are embedded within loosely-structured free-text. For these reasons, SPRs were chosen to be coded through caTIES because facilitating access to information contained in SPRs will have a powerful impact on cancer research. Once SPR information has been run through the caTIES Pipeline, the data may be queried and inspected by the researcher. The goal of this search may be to extract and analyze data or to acquire slides of tissue for further study. caTIES provides two query interfaces, a simple query dashboard and an advanced diagram query builder. Both of these interfaces are capable of NCI Metathesaurus, concept-based searching as well as string searching. Additionally, the diagram interface is capable of advanced searching functionalities. An important aspect of the interface is the ability to manage queries and case sets. Users are able to vet query results and save them to case sets which can then be edited at a later time. These can be submitted as tissue orders or used to derive data extracts. Queries can also be saved, and modified at a later time. caTIES provides the following web services by default: MMTx Service, TIES Coder Service | extraction, cancer, code, de-identification, information, paraffin, pathology, research, structure, surgical, system, tissue, tool, text, natural language processing, tissue banking, translational research, data sharing, collaboration, natural language processing, text-processing, text-mining, grid computing, service oriented architecture, query visualization, medical record, bioinformatics, automated coding |
is listed by: Biositemaps is related to: Cancer Biomedical Informatics Grid has parent organization: University of Pittsburgh School of Medicine; Pennsylvania; USA |
Cancer Biomedical Informatics Grid contract 79207CBS10; NCI R01 CA132672; NCI U01 CA 091343; NCRR U54 RR023506-01 |
PMID:20442142 | Open unspecified license | nif-0000-33212 | SCR_003444 | Cancer Text Information Extraction System, Cancer Text Information Extraction System (caTIES) | 2026-02-15 09:18:30 | 0 | |||||
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LINCS Joint Project - Breast Cancer Network Browser Resource Report Resource Website 1+ mentions |
LINCS Joint Project - Breast Cancer Network Browser (RRID:SCR_016181) | LJP-BCNB, LJP, BCNB | web service, data access protocol, service resource, software resource | Interactive on line tool where signatures are tagged with user selected metadata and external transcript signatures are projected onto network. Browser to visualize signatures from breast cancer cell lines treated with single molecule perturbations. | breast, cancer, tissue, cluster, drug, perturbation, cell, line, gene, expression |
is related to: L1000 Characteristic Direction Signature Search Engine is related to: LINCS Project |
Breast cancer | NHLBI U54 HL127624; NHLBI U54 HL127365; NHGRI U54 HG006093; NCI U54 CA189201 |
PMID:29084964 | Free, Freely available | https://github.com/MaayanLab/LJP | SCR_016181 | LINCS Joint Project, Breast Cancer Network Browser | 2026-02-15 09:21:34 | 1 | ||||
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SV-plaudit Resource Report Resource Website 1+ mentions |
SV-plaudit (RRID:SCR_016285) | software application, data processing software, software resource, image analysis software, data analysis software | Software for rapidly curating structural variant (SVs) predictions. SV-plaudit provides a pipeline for creating image views of genomic intervals, automatically storing them in the cloud, deploying a website to view/score them, and retrieving scores for analysis. | genomics, structural, variants, visualization, manual, curation, prediction, image, alignment | NHGRI K99 HG009532; NHGRI R01 HG006693; NIGMS R01 GM124355; NCI U24 CA209999 |
Free, Available for download | SCR_016285 | 2026-02-15 09:21:37 | 2 | ||||||||||
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Drug Gene Budger Resource Report Resource Website |
Drug Gene Budger (RRID:SCR_016489) | DGB | web service, data access protocol, service resource, software resource | Web based application to assist researchers with identifying drugs and small molecules that are predicted to maximally influence expression of mammalian gene of interest. Used to identify drugs and small molecules to regulate expression of target genes for research purpose only. Application for ranking drugs to modulate specific gene based on transcriptomic signatures. | identify, drug, small, molecule, predict, influence, expression, mammalian, gene, regulate, target |
is related to: LINCS Project has parent organization: Icahn School of Medicine at Mount Sinai; New York; USA works with: CMAP works with: Gene Expression Omnibus (GEO) |
BD2K-LINCS Data Coordination and Integration Center Mount Sinai Knowledge Management Center for IDG ; NHLBI U54 HL127624; NCI U24 CA224260 |
PMID:30169739 | Restricted | SCR_016489 | Drug Gene Budger | 2026-02-15 09:21:42 | 0 | ||||||
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Phenograph Resource Report Resource Website 100+ mentions |
Phenograph (RRID:SCR_016919) | PhenoGraph | software application, data processing software, data analysis software, software resource | Software tool as clustering method designed for high dimensional single cell data. Algorithmically defines phenotypes in high dimensional single cell data. Used for large scale analysis of single cell heterogeneity. | high, dimention, single, cell, data, phenotype, analysis, heterogeneity |
uses: Python Programming Language is related to: Rphenograph |
NIGMS R00 GM104148; NICHD DP1 HD084071; NCI R01 CA164729; NCI U54 CA121852; NCI R01 CA130826; NCI U54 CA143907; US Department of Health and Human Services HHSN272200700038C; NIH N01 HV00242; NCI P01 CA034233; NIAID U19 AI057229; NCI U54 CA149145; US FDA HHSF223201210194C; US DOD W81XWH1210591; Entertainment Industry Foundation ; Rachford and Carlota Harris Endowed Professorship ; CIRM DR1 01477; CIRM RB201592; Stand Up To Cancer Phillip A. Sharp Award SU2CAACRPS04; Packard Fellowship for Science and Engineering ; NIH Office of the Director DP2 OD002414 |
PMID:26095251 | Free, Available for download, Freely available | https://github.com/JinmiaoChenLab/Rphenograph | https://github.com/jacoblevine/PhenoGraph | SCR_016919 | 2026-02-15 09:21:56 | 213 | |||||
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piNET Resource Report Resource Website 1+ mentions |
piNET (RRID:SCR_018693) | software resource, data access protocol, web service, service resource, production service resource, analysis service resource | Web platform for downstream analysis and visualization of proteomics data. Server that facilitates integrated annotation, analysis and visualization of quantitative proteomics data, with emphasis on PTM networks and integration with LINCS library of chemical and genetic perturbation signatures in order to provide further mechanistic and functional insights. Primary input for server consists of set of peptides or proteins, optionally with PTM sites, and their corresponding abundance values. | Analysis, visualization, proteomics data, integrated annotation, quantitative proteomics data, PTM network, LINCS library integration, genetic perturbation signature, peptide, protein, post translational modification site, PTM site, data | is related to: LINCS Project | NHLBI U54 HL127624; NIEHS P30 ES006096; NIMH R01 MH107487; NCI T32 CA236764; NCATS UL1 TR001425; NIGMS U01 GM120953 |
DOI:10.1093/nar/gkaa436 | Free, Freely available | SCR_018693 | 2026-02-15 09:22:23 | 4 | ||||||||
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TIMER Resource Report Resource Website 1000+ mentions |
TIMER (RRID:SCR_018737) | TIMER | software resource, data access protocol, web service, service resource, production service resource, analysis service resource | Web server for comprehensive analysis of tumor infiltrating immune cells. Web tool for systematical analysis of immune infiltrates across diverse cancer types. Allows users to input function specific parameters, with resulting figures dynamically displayed to access tumor immunological, clinical, and genomic features. | Tumor, tumor infiltrating immune cell, immune cell, cell, analysis, cancer cell, cancer type, tumor immunological feature, tumor genomic feature, display | National Natural Science Foundation of China ; NCI CA180980; Dana-Farber Cancer Institute |
PMID:29092952 | Free, Freely available | SCR_018737 | Tumor IMmune Estimation Resource | 2026-02-15 09:22:23 | 2042 |
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