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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | ||||||||||||||
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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 | SciCrunch Registry | Hoosier Oncology Group | 2026-10-17 01:25:59 | 0 | ||||||
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National Center for Integrative Biomedical Informatics Resource Report Resource Website 1+ mentions |
National Center for Integrative Biomedical Informatics (RRID:SCR_001538) | data or information resource, organization portal, portal | The Center develops conceptual models, computational infrastructure, an integrated knowledge repository, and query and analysis tools that enable scientists to effectively access and integrate the wealth of biological data. The National Center for Integrative Biomedical Informatics (NCIBI) was founded in October 2005 and is one of seven National Centers for Biomedical Computing (NCBC) in the NIH Roadmap. NCIBI is based at the University of Michigan as a part of the Center for Computational Medicine and Biology (CCMB). NCIBI is composed of biomedical researchers, computational biologists, computer scientists, developers and human-computer interaction specialists organized into seven major core functions. They work in interdisciplinary teams to collectively develop tools that are not only computationally powerful but also biologically relevant and meaningful. The four initial Driving Biological Projects (prostate cancer progression, Type 1 and type 2 diabetes and bipolar disorder) provide the nucleation point from which tool development is informed, launched, and tested. In addition to testing tools for function, a separate team is dedicated to testing usability and user interaction that is a unique feature of this Center. Once tools are developed and validated the goal of the Center is to share and disseminate data and software throughout the research community both internally and externally. This is achieved through various mechanisms such as training videos, tutorials, and demonstrations and presentations at national and international scientific conferences. NCIBI is supported by NIH Grant # U54-DA021519. | analysis tools, bipolar disorder, code, computational infrastructure, conceptual models, data, diabetes, knowledge repository, presentations, prostate cancer, query tools, seminar material, tool development, tutorials, videos, model |
is listed by: 3DVC is related to: Biological Concept Diagram Editor is related to: Gene Interaction Extraction from the Literature is related to: National Centers for Biomedical Computing has parent organization: University of Michigan; Ann Arbor; USA is parent organization of: Substructure Index-based Approximate Graph Alignment is parent organization of: miniTUBA is parent organization of: Michigan Molecular Interactions is parent organization of: Cell Line Knowledge Base is parent organization of: HubMed is parent organization of: MiMI Plugin for Cytoscape |
Type 1 diabetes, Type 2 diabetes, Diabetes, Cancer, Bipolar disorder | PMID:22101971 | Free, Freely available | nif-0000-09660 | http://portal.ncibi.org/gateway/ | SCR_001538 | SciCrunch Registry | NCIBI | 2026-10-17 01:24:56 | 1 | |||||
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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 | SciCrunch Registry | SamSPECTRAL - Identifies cell population in flow cytometry data | 2026-10-17 01:25:01 | 4 | |||||
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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 | SciCrunch Registry | 2026-10-17 01:27:41 | 3 | ||||||||
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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 | SciCrunch Registry | ARIAD Pharmaceuticals | 2026-10-17 01:27:06 | 55 | |||||
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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 | SciCrunch Registry | 2026-10-17 01:27:08 | 10 | |||||||||
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canSAR Resource Report Resource Website 50+ mentions |
canSAR (RRID:SCR_006794) | canSAR | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | canSAR is an integrated database that brings together biological, chemical, pharmacological (and eventually clinical) data. Its goal is to integrate this data and make it accessible to cancer research scientists from multiple disciplines, in order to help with hypothesis generation in cancer research and support translational research. This cancer research and drug discovery resource was developed to utilize the growing publicly available biological annotation, chemical screening, RNA interference screening, expression, amplification and 3D structural data. Scientists can, in a single place, rapidly identify biological annotation of a target, its structural characterization, expression levels and protein interaction data, as well as suitable cell lines for experiments, potential tool compounds and similarity to known drug targets. canSAR has, from the outset, been completely use-case driven which has dramatically influenced the design of the back-end and the functionality provided through the interfaces. The Web interface provides flexible, multipoint entry into canSAR. This allows easy access to the multidisciplinary data within, including target and compound synopses, bioactivity views and expert tools for chemogenomic, expression and protein interaction network data. | molecular target, expression, cell line, compound, molecule, protein, structure, ligand, drug, 3d, genomics, 3d complex, bioactivity, protein affinity, cell line sensitivity, pathway, annotation, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) is related to: BindingDB is related to: Gene Ontology has parent organization: Cancer Research UK |
Cancer | Cancer Research UK C309/A8274 | PMID:22013161 | CanSAR is freely available to all cancer researchers. By using canSAR you are agreeing to the Terms of Use, Https://cansar.icr.ac.uk/cansar/terms-of-use/ | biotools:cansar, nlx_149410 | https://bio.tools/cansar | SCR_006794 | SciCrunch Registry | 2026-10-17 01:26:42 | 56 | ||||
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Surveillance Epidemiology and End Results Resource Report Resource Website 5000+ mentions |
Surveillance Epidemiology and End Results (RRID:SCR_006902) | SEER | data or information resource, data set, database, narrative resource, report | SEER collects cancer incidence data from population-based cancer registries covering approximately 47.9 percent of the U.S. population. The SEER registries collect data on patient demographics, primary tumor site, tumor morphology, stage at diagnosis, and first course of treatment, and they follow up with patients for vital status.There are two data products available: SEER Research and SEER Research Plus. This was motivated because of concerns about the increasing risk of re-identifiability of individuals. The Research Plus databases require more rigorous process for access that includes user authentication through Institutional Account or multiple-step request process for Non-Institutional users. | cancer, statistics, epidemiology, registry, mortality, cancer mortality, african-american, hispanic, american-indian, alaska native, asian, hawaiian, pacific islander, demographic, tumor site, tumor morphology, stage, treatment, follow-up, vital status, FASEB list |
is listed by: re3data.org is related to: SEER*Stat is related to: NCI SEER Cancer Stage Variable Documentation is related to: SEER Datasets and Software is related to: NCI Division of Cancer Control and Population Sciences SEER-Medicare Comorbidity SAS Macros is related to: NCI Division of Cancer Control and Population Sciences SEER-Medicare Linked Data Resource has parent organization: National Cancer Institute |
Cancer, Leukemia | NCI | nif-0000-21366, r3d100010884 | SCR_006902 | SciCrunch Registry | Surveillance Epidemiology and End Results (SEER) Program, Surveillance Epidemiology End Results, Surveillance Epidemiology End Results (SEER) Program | 2026-10-17 01:26:44 | 6215 | ||||||
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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 | SciCrunch Registry | 2026-10-17 01:28:11 | 19 | ||||||||
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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 | SciCrunch Registry | Gene Signature Data Base, GeneSigDB - Curated Gene Signatures Database | 2026-10-17 01:28:18 | 24 | ||||
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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 | SciCrunch Registry | 2026-10-17 01:28:41 | 0 | |||||||||
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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 | SciCrunch Registry | L2L Microarray Database, L2L Microarray Analysis Tool: A simple tool for discovering the hidden biological significance in microarray expression data, L2L MDB | 2026-10-17 01:28:43 | 1 | |||
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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 | SciCrunch Registry | 2026-10-17 01:27:24 | 14 | ||||||||
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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 | SciCrunch Registry | 2026-10-17 01:27:56 | 0 | ||||||||
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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 | SciCrunch Registry | 2026-10-17 01:27:48 | 0 | |||||||
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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 | SciCrunch Registry | Hutch, Bioinformatic Resource, Fred, Co-operative Center for Excellence in Hematology, Cancer Center | 2026-10-17 01:28:53 | 0 | ||||||
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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 | SciCrunch Registry | 2026-10-17 01:29:28 | 7126 | ||||||
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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 | SciCrunch Registry | Tool for Tumor Progression (TTP) | 2026-10-17 01:28:49 | 1 | ||||||||
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Australia Breast Cancer Tissue Bank Resource Report Resource Website |
Australia Breast Cancer Tissue Bank (RRID:SCR_000926) | ABCTB | biomaterial supply resource, material resource | A tissue bank which houses and supplies cancerous tissue for use by the research community. Along with tissue, the bank collects clinical history, lifestyle factors, breast pathology, treatment information, and follow up information. | cancer, tissue bank, breast, tissue, human, clinical history, treatment information, pathology | Cancer | National Health and Medical Research Council of Australia ; National Breast Cancer Foundation ; Cancer Institute of NSW |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_54620 | SCR_000926 | SciCrunch Registry | 2026-10-17 01:33:43 | 0 | |||||||
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TARGETgene Resource Report Resource Website 1+ mentions |
TARGETgene (RRID:SCR_001392) | TARGETgene | software application, software resource | MATLAB tool to effectively identify potential therapeutic targets and drugs in cancer using genetic network-based approaches. It can rapidly extract genetic interactions from a precompiled database stored as a MATLAB MAT-file without the need to interrogate remote SQL databases. Millions of interactions involving thousands of candidate genes can be mapped to the genetic network within minutes. While TARGETgene is currently based on the gene network reported in (Wu et al.,Bioinformatics 26:807-813, 2010), it can be easily extended to allow the optional use of other developed gene networks. The simple graphical user interface also enables rapid, intuitive mapping and analysis of therapeutic targets at the systems level. By mapping predictions to drug-target information, TARGETgene may be used as an initial drug screening tool that identifies compounds for further evaluation. In addition, TARGETgene is expected to be applicable to identify potential therapeutic targets for any type or subtype of cancers, even those rare cancers that are not genetically recognized. Identification of Potential Therapeutic Targets * Prioritize potential therapeutic targets from thousands of candidate genes generated from high-throughput experiments using network-based metrics * Validate predictions (prioritization) using user-defined benchmark genes and curated cancer genes * Explore biologic information of selected targets through external databases (e.g., NCBI Entrez Gene) and gene function enrichment analysis Initial Drug Screening * Identify for further evaluation existing drugs and compounds that may act on the potential therapeutic targets identified by TARGETgene * Explore general information on identified drugs of interest through several external links Operating System: Windows XP / Vista / 7 | disease target, drug discovery, drug, matlab, gene network, genetic interaction, gene, drug screening, mutation driver, therapeutic target, drug candidate, compound, mapping, analysis | has parent organization: Biomedical Simulations Resource | Cancer | NIBIB P41-EB001978 | PMID:22952662 | Free, Under the terms of a Release Agreement., Please cite | nlx_152573 | http://bmsr.usc.edu/Software/TARGET/TARGET.html | SCR_001392 | SciCrunch Registry | 2026-10-17 01:33:48 | 8 |
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Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
