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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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FURTHeR Resource Report Resource Website 50+ mentions |
FURTHeR (RRID:SCR_006383) | FURTHeR | community building portal, data repository, database, storage service resource, portal, service resource, data or information resource | Data and knowledge management infrastructure for the new Center for Clinical and Translational Science (CCTS) at the University of Utah. This clinical cohort search tool is used to search across the University of Utah clinical data warehouse and the Utah Population Database for people who satisfy various criteria of the researchers. It uses the i2b2 front end but has a set of terminology servers, metadata servers and federated query tool as the back end systems. FURTHeR does on-the-fly translation of search terms and data models across the source systems and returns a count of results by unique individuals. They are extending the set of databases that can be queried. | biomedical, clinical, informatics, platform, federated, translation, institutional review board, data management software, clinical data, federation, FASEB list |
is related to: Clinical and Translational Science Awards Consortium has parent organization: University of Utah School of Medicine; Utah; USA |
National Center for Advancing Translational Sciences ; U.S. Department of Health and Human Services ; University of Utah Research Foundation ; NCRR UL1 RR025764 |
PMID:20351825 PMID:18999122 |
Restricted | nlx_152164 | http://www.further.utah.edu/ | SCR_006383 | Federated Utah Research and Translational Health Electronic Repository, FURTHeR - Federated Utah Research and Translational Health Electronic Repository | 2026-02-16 09:46:45 | 77 | ||||
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Chimpanzee Biomedical Research Resource Resource Report Resource Website 1+ mentions |
Chimpanzee Biomedical Research Resource (RRID:SCR_006289) | CBRR | data or information resource, topical portal, organism-related portal, portal | One of only four NCRR-supported centers with the capability to conduct biomedical research in the chimpanzee, it offers chimpanzee-derived cell lines, antibodies and other biological materials, along with a registry of biologic reagents that are known to work in the chimpanzee. The Resource and Management Core is responsible for providing animal resources, tissues/biological fluids, cell lines, expert advice and research support to NIH extramural and intramural programs, other federal agencies and private sponsors. The Resource-Related Research Core conducts research to improve the health of the animals maintained, with special emphasis on studies that will enhance the usefulness of the chimpanzee as a model for studies of human disease. Resource-related research will focus on characterization of the immune system of the chimpanzee, expansion of our understanding of chimpanzee cardiomyopathy as a potential human disease model and comparisons of the physiologic and immunological consequences of research manipulations on chimpanzees trained to voluntarily cooperate with research procedures. By expanding the resources available, conducting resource-related research and containing costs, the CBRR will continue to provide a critically important, highly specialized research resource to address important human health issues. | cardiomyopathy, immune system, animal model, human disease, biological material, cell line, antibody |
is listed by: One Mind Biospecimen Bank Listing has parent organization: University of Texas MD Anderson Cancer Center |
NCRR | Free, Freely available | nlx_151945 | http://www.kccmr.org/ | SCR_006289 | , KCCMR Chimpanzee Biomedical Research Resource, Keeling Center for Comparative Medicine and Research Chimpanzee Care Center | 2026-02-16 09:46:40 | 1 | |||||
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GeneNetwork Resource Report Resource Website 100+ mentions |
GeneNetwork (RRID:SCR_002388) | GeneNetwork, WebQTL | data repository, database, storage service resource, service resource, data or information resource | Web platform that provides access to data and tools to study complex networks of genes, molecules, and higher order gene function and phenotypes. Sequence data (SNPs) and transcriptome data sets (expression genetic or eQTL data sets). Quantitative trait locus (QTL) mapping module that is built into GN is optimized for fast on-line analysis of traits that are controlled by combinations of gene variants and environmental factors. Used to study humans, mice (BXD, AXB, LXS, etc.), rats (HXB), Drosophila, and plant species (barley and Arabidopsis). Users are welcome to enter their own private data. | Variation, trait, vertebrate trait ontology, phenotype, systems genetics, quantitative trait, gene mapping, experimental precision medicinenetwork analysis, causal modeling, genomic location, genotype, inbred strain, sex, heterogeneous stock, phenome, phenotype, QTL, expression QTL, genetic reference population, single nucleotide polymorphism, RNA expression, protein expression, metabolite expression, metagenomics, epigenomics, gene-by-environmental interaction, epistasis, FAIR data standards, open source software, FASEB list |
is used by: NIF Data Federation is used by: Hypothesis Center is related to: NIH Data Sharing Repositories has parent organization: University of Tennessee Health Science Center; Tennessee; USA |
NIGMS R01 GM123489; NIAAA U01 AA016662; NIAAA U01 AA13499; NIAAA U24 AA13513; NIAAA U01 AA014425; NIA R01 AG043930; NIDA P20 DA21131; NCI U01 CA105417; NCRR U24 RR021760 |
PMID:8043953 PMID:11737945 PMID:15043217 PMID:15114364 PMID:15043220 PMID:15043219 PMID:15711545 PMID:18368372 PMID:27933521 |
Restricted | nif-0000-00380 | SCR_002388 | GeneNetwork and WebQTL, GeneNetwork / WebQTL, www.genenetwork.org, GeneNetwork WebQTL, The GeneNetwork / WebQTL | 2026-02-16 09:45:43 | 473 | |||||
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Macaque.org Resource Report Resource Website 1+ mentions |
Macaque.org (RRID:SCR_002767) | Macaque.org | laboratory portal, organization portal, research forum portal, topical portal, portal, data or information resource, disease-related portal | 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 June 8, 2020.Macaque genomic and proteomic resources and how they are providing important new dimensions to research using macaque models of infectious disease. The research encompasses a number of viruses that pose global threats to human health, including influenza, HIV, and SARS-associated coronavirus. By combining macaque infection models with gene expression and protein abundance profiling, they are uncovering exciting new insights into the multitude of molecular and cellular events that occur in response to virus infection. A better understanding of these events may provide the basis for innovative antiviral therapies and improvements to vaccine development strategies. | genomic, hiv, infection, proteomic, virus, simian immunodeficiency virus, influenza virus, animal model | has parent organization: University of Washington; Seattle; USA | Viral infection, Infectious disease | NCRR ; NIAID ; NHLBI ; NIDA |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-24370 | SCR_002767 | Macaque.org | 2026-02-16 09:45:53 | 3 | |||||
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University of Southern California LONI Software Resource Report Resource Website 1+ mentions |
University of Southern California LONI Software (RRID:SCR_002802) | data or information resource, topical portal, portal | Portal provides list of software resources. LONI is leader in development of advanced computational algorithms and software for comprehensive and quantitative mapping of brain structure and function. Aims to encourage communication between users and LONI software engineers in order to improve effectiveness. | visualization, image processing, shape analysis, pre-processing, registration, segmentation, statistical analysis, surface modeling, data management | NIH Roadmap for Medical Research ; NCRR U54 RR021813 |
Free, Freely available, Available for download | nif-0000-00445, nif-0000-00063, SCR_003323 | http://www.loni.ucla.edu/Software/ | SCR_002802 | 2026-02-16 09:45:50 | 2 | ||||||||
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FFT Library Resource Report Resource Website |
FFT Library (RRID:SCR_002698) | FFT Library | software application, data processing software, software toolkit, image processing software, software library, software resource | Java library used for the execution of discrete Fourier transforms in 1-D, 2-D and 3-D through the implementation of Fast Fourier Transform (FFT) algorithms. * The FFT library has been written in Java for portability across different platforms, integrated into a single jar file for easy implementation. * The FFT library provides forward and backward fast Fourier transforms in 1-D, 2-D and 3-D with an easy-to-use manner. * The FFT requires the length equal to a number with an integer power of two. This library automatically examines the input data and detects the length to prevent improper execution. | fourier transform, fast fourier transform, magnetic resonance |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps has parent organization: Laboratory of Neuro Imaging |
NIBIB 9P41EB015922-15; NCRR 2-P41-RR-013642-15; NCRR U54 RR021813 |
PMID:24822428 | Free, Freely available | nif-0000-23324 | http://www.nitrc.org/projects/fft http://www.loni.ucla.edu/Software/FFT | SCR_002698 | Fast Fourier Transform JavaLibrary, FFT Java library, Fast Fourier Transform Library, Fast Fourier Transform (FFT) JavaLibrary | 2026-02-16 09:45:51 | 0 | ||||
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LONI ShapeViewer Resource Report Resource Website |
LONI ShapeViewer (RRID:SCR_002695) | software application, data processing software, data visualization software, software resource | Java-based geometry viewer that supports file formats used by Center for Computational Biology (CCB) researchers and provides necessary viewing functions. ShapeViewer uses ShapeTools library support to read and display LONI Ucf, VTX XML, FreeSurfer, Minc Obj (both binary and ascii), Open Dx, Gifti, and OFF format data files. | ccb license, manifold viewer, computed tomography, magnetic resonance, pet, java |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps is related to: LONI ShapeTools has parent organization: Laboratory of Neuro Imaging |
NCRR U54 RR021813 | Free, Available for download, Freely available | nif-0000-23321 | SCR_002695 | ShapeViewer, LONI Shape Viewer | 2026-02-16 09:45:58 | 0 | |||||||
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Synchronized Histological Image Viewing Architecture Resource Report Resource Website |
Synchronized Histological Image Viewing Architecture (RRID:SCR_002690) | SHIVA | software application, data processing software, image processing software, image analysis software, software resource, d visualization software | A Java-based visualization and analysis application that can process 2D and 3D image files and provides convenient methods for users to overlay multiple datasets. * Simultaneous visualization of multiple image volumes. * Tools for labeling and masking of structures. * Framework for the Mouse Atlas Project. | data visualization, image analysis, 3d image, image, microscopy, magnetic resonance, java, manifold viewer |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps has parent organization: Laboratory of Neuro Imaging |
NIBIB 9P41EB015922-15; NCRR 2-P41-RR-013642-15 |
Free, Freely available | nif-0000-23318 | http://www.nitrc.org/projects/shiva | SCR_002690 | Synchronized Histological Image View Arc | 2026-02-16 09:45:57 | 0 | |||||
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Sal-Site Resource Report Resource Website 50+ mentions |
Sal-Site (RRID:SCR_002850) | Sal-Site | data analysis service, analysis service resource, image collection, database, topical portal, portal, production service resource, service resource, data or information resource, organism-related portal | Portal that supports Ambystoma-related research and educational efforts. It is composed of several resources: Salamander Genome Project, Ambystoma EST Database, Ambystoma Gene Collection, Ambystoma Map and Marker Collection, Ambystoma Genetic Stock Center, and Ambystoma Research Coordination Network. | gene, genomic, expressed sequence tag, blast, model organism, genome, salamander, animal model, genetic map, genetic marker, gene expression, limb regeneration, microarray, quantitative-pcr, rna-seq, nanostring, husbandry, embryo, limb, mutant, strain, neural, olfaction, phentotype, regeneration, renal, retina, sequence, vision, human, chicken, xenopus tropicalis, FASEB list | has parent organization: University of Kentucky; Kentucky; USA | NSF OB0242833; NSF DBI0443496; NCRR R24 RR016344; NIH Office of the Director R24 OD010435 |
PMID:16359543 | Free, Freely available | nif-0000-25309 | https://orip.nih.gov/comparative-medicine/programs/vertebrate-models | SCR_002850 | Ambystoma Resources for Model Amphibians Database | 2026-02-16 09:45:55 | 92 | ||||
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CD-HIT Resource Report Resource Website 1000+ mentions |
CD-HIT (RRID:SCR_007105) | CD-HIT | data processing software, software application, source code, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software program for clustering biological sequences with many applications in various fields such as making non-redundant databases, finding duplicates, identifying protein families, filtering sequence errors and improving sequence assembly etc. It is very fast and can handle extremely large databases. CD-HIT helps to significantly reduce the computational and manual efforts in many sequence analysis tasks and aids in understanding the data structure and correct the bias within a dataset. The CD-HIT package has CD-HIT, CD-HIT-2D, CD-HIT-EST, CD-HIT-EST-2D, CD-HIT-454, CD-HIT-PARA, PSI-CD-HIT, CD-HIT-OTU and over a dozen scripts. * CD-HIT (CD-HIT-EST) clusters similar proteins (DNAs) into clusters that meet a user-defined similarity threshold. * CD-HIT-2D (CD-HIT-EST-2D) compares 2 datasets and identifies the sequences in db2 that are similar to db1 above a threshold. * CD-HIT-454 identifies natural and artificial duplicates from pyrosequencing reads. * CD-HIT-OTU cluster rRNA tags into OTUs The usage of other programs and scripts can be found in CD-HIT user''s guide. CD-HIT was originally developed by Dr. Weizhong Li at Dr. Adam Godzik''s Lab at the Burnham Institute (now Sanford-Burnham Medical Research Institute)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | cluster, protein, sequence, classification, domain, analysis, nucleotide sequence, dna, protein sequence, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is listed by: OMICtools has parent organization: University of California at San Diego; California; USA has parent organization: Google Code is parent organization of: CD-HIT-OTU |
NCRR 1R01RR025030 | PMID:20053844 PMID:16731699 DOI:10.1093/bioinformatics/btl158 |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_05157, biotools:cd-hit, nif-0000-30240 | http://cd-hit.org https://code.google.com/p/cdhit/ https://bio.tools/cd-hit https://sources.debian.org/src/cd-hit/ |
http://bioinformatics.ljcrf.edu/cd-hi/ |
SCR_007105 | CD-HIT Program | 2026-02-16 09:46:53 | 3203 | |||
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Combine RTS2000 Resource Report Resource Website |
Combine RTS2000 (RRID:SCR_007104) | data processing software, software application, software resource, image processing software | Software program that performs the auto-alignment and the composition of images to create the mosaic. | program, auto, alignment, composition, image, create, mosaic | has parent organization: National Center for Microscopy and Imaging Research | NCRR P41 RR04050 | Free, no longer available | nif-0000-10511 | SCR_007104 | 2026-02-16 09:46:53 | 0 | ||||||||
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BrainInfo Resource Report Resource Website 10+ mentions |
BrainInfo (RRID:SCR_003142) | narrative resource, atlas, database, topical portal, portal, data or information resource, standard specification | Portal to neuroanatomical information on the Web that helps you identify structures in the brain and provides a variety of information about each structure by porting you to the best of 1500 web pages at 100 other neuroscience sites. BrainInfo consists of three basic components: NeuroNames, a developing database of definitions of neuroanatomic structures in four species, their most common acronyms and their names in eight languages; NeuroMaps, a digital atlas system based on 3-D canonical stereotaxic atlases of rhesus macaque and mouse brains and programs that enable one to map data to standard surface and cross-sectional views of the brains for presentation and publication; and the NeuroMaps precursor: Template Atlas of the Primate Brain, a 2-D stereotaxic atlas of the longtailed (fascicularis) macaque brain that shows the locations of some 250 architectonic areas of macaque cortex. The NeuroMaps atlases will soon include a number of overlays showing the locations of cortical areas and other neuroscientific data in the standard frameworks of the macaque and mouse atlases. Viewers are encouraged to use NeuroNames as a stable source of unique standard terms and acronyms for brain structures in publications, illustrations and indexing systems; to use templates extracted from the NeuroMaps macaque and mouse brain atlases for presenting neuroscientific information in image format; and to use the Template Atlas for warping to MRIs or PET scans of the macaque brain to estimate the stereotaxic locations of structures. | brain, neuroanatomy |
is used by: NIF Data Federation is listed by: Biositemaps is related to: INIA19 Primate Brain Atlas has parent organization: University of Washington; Seattle; USA has parent organization: University of California at San Diego; California; USA |
The Human Brain Project ; NIBIB ; NLM LM/OD-06243; NIH Office of the Director LM/OD-06243; NIMH MHO69259; NCRR RR-00166 |
PMID:21789500 PMID:21163300 PMID:18368361 PMID:15055392 |
Free, Freely available | nif-0000-00019 | SCR_003142 | Brain Info | 2026-02-16 09:45:56 | 16 | ||||||
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Statistics Online Computational Resource Resource Report Resource Website 10+ mentions |
Statistics Online Computational Resource (RRID:SCR_003378) | SOCR | software application, software toolkit, narrative resource, training material, software resource, data or information resource | A hierarchy of portable online interactive aids for motivating, modernizing probability and statistics applications. The tools and resources include a repository of interactive applets, computational and graphing tools, instructional and course materials. The core SOCR educational and computational components include the following suite of web-based Java applets: * Distributions (interactive graphs and calculators) * Experiments (virtual computer-generated games and processes) * Analyses (collection of common web-accessible tools for statistical data analysis) * Games (interfaces and simulations to real-life processes) * Modeler (tools for distribution, polynomial and spectral model-fitting and simulation) * Graphs, Plots and Charts (comprehensive web-based tools for exploratory data analysis), * Additional Tools (other statistical tools and resources) * SOCR Java-based Statistical Computing Libraries * SOCR Wiki (collaborative Wiki resource) * Educational Materials and Hands-on Activities (varieties of SOCR educational materials), * SOCR Statistical Consulting In addition, SOCR provides a suite of tools for volume-based statistical mapping (http://wiki.stat.ucla.edu/socr/index.php/SOCR_EduMaterials_AnalysesCommandLine) via command-line execution and via the LONI Pipeline workflows (http://www.nitrc.org/projects/pipeline). Course instructors and teachers will find the SOCR class notes and interactive tools useful for student motivation, concept demonstrations and for enhancing their technology based pedagogical approaches to any study of variation and uncertainty. Students and trainees may find the SOCR class notes, analyses, computational and graphing tools extremely useful in their learning/practicing pursuits. Model developers, software programmers and other engineering, biomedical and applied researchers may find the light-weight plug-in oriented SOCR computational libraries and infrastructure useful in their algorithm designs and research efforts. The three types of SOCR resources are: * Interactive Java applets: these include a number of different applets, simulations, demonstrations, virtual experiments, tools for data visualization and analysis, etc. All applets require a Java-enabled browser (if you see a blank screen, see the SOCR Feedback to find out how to configure your browser). * Instructional Resources: these include data, electronic textbooks, tutorials, etc. * Learning Activities: these include various interactive hands-on activities. * SOCR Video Tutorials (including general and tool-specific screencasts). | probability, statistics, instruction, statistical computing, applet, computational tool, graphing tool, course material, computation, java, statistical mapping, graphing, computational neuroscience, java, loni pipeline, educator, student, tool developer |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps has parent organization: University of California at Los Angeles; California; USA |
NIH Roadmap for Medical Research ; NSF 0442992; NSF DUE 0716055; NSF 1023115; NCRR U54 RR021813 |
PMID:21451741 PMID:21297884 |
Free, Freely available | nif-0000-32655 | http://www.nitrc.org/projects/socr | SCR_003378 | 2026-02-16 09:46:00 | 13 | |||||
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Mouse Biomedical Informatics Research Network Resource Report Resource Website |
Mouse Biomedical Informatics Research Network (RRID:SCR_003392) | MouseBIRN, mBIRN | data set, reference atlas, data or information resource, atlas | Animal model data primarily focused on mice including high resolution MRI, light and electron microscopic data from normal and genetically modified mice. It also has atlases, and the Mouse BIRN Atlasing Toolkit (MBAT) which provides a 3D visual interface to spatially registered distributed brain data acquired across scales. The goal of the Mouse BIRN is to help scientists utilize model organism databases for analyzing experimental data. Mouse BIRN has ended. The next phase of this project is the Mouse Connectome Project (https://www.nitrc.org/projects/mcp/). The Mouse BIRN testbeds initially focused on mouse models of neurodegenerative diseases. Mouse BIRN testbed partners provide multi-modal, multi-scale reference image data of the mouse brain as well as genetic and genomic information linking genotype and brain phenotype. Researchers across six groups are pooling and analyzing multi-scale structural and functional data and integrating it with genomic and gene expression data acquired from the mouse brain. These correlated multi-scale analyses of data are providing a comprehensive basis upon which to interpret signals from the whole brain relative to the tissue and cellular alterations characteristic of the modeled disorder. BIRN's infrastructure is providing the collaborative tools to enable researchers with unique expertise and knowledge of the mouse an opportunity to work together on research relevant to pre-clinical mouse models of neurological disease. The Mouse BIRN also maintains a collaborative Web Wiki, which contains announcements, an FAQ, and much more. | electron microscopy, expression, functional, gene, 3-dimentional, brain, cellular, disorder, genomic, genotype, mouse, neurodegenerative disease, phenotype, molecular neuroanatomy resource, mri, light microscopy, model organism, gene expression, atlas data, imaging genomics, magnetic resonance |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Mouse BIRN Atlasing Toolkit is related to: Mouse Connectome Project has parent organization: Biomedical Informatics Research Network |
Normal, Neurodegenerative disease, Multiple Sclerosis, Alzheimer's disease, Parkinson's disease | NIH ; Collaborative Tools Support Network Award ; NCRR 1U24-RR025736; NCRR U24-RR021992; NCRR U24-RR021760; NCRR 1U24-RR026057-01 |
Free, Available for download, Freely available | nif-0000-00200 | https://loni.usc.edu/research/software?name=MBATWA | http://www.loni.ucla.edu/BIRN/Projects/Mouse/index.shtml | SCR_003392 | Mouse BIRN | 2026-02-16 09:46:07 | 0 | |||
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MiMI Plugin for Cytoscape Resource Report Resource Website 1+ mentions |
MiMI Plugin for Cytoscape (RRID:SCR_003424) | MiMI Plugin | software application, data processing software, data visualization software, software resource | The Cytoscape MiMI Plugin is an open source interactive visualization tool that you can use for analyzing protein interactions and their biological effects. The Cytoscape MiMI Plugin couples Cytoscape, a widely used software tool for analyzing bimolecular networks, with the MiMI database, a database that uses an intelligent deep-merging approach to integrate data from multiple well-known protein interaction databases. The MiMI database has data on 119,880 molecules, 330,153 interactions, and 579 complexes. By querying the MiMI database through Cytoscape you can access the integrated molecular data assembled in MiMI and retrieve interactive graphics that display protein interactions and details on related attributes and biological concepts. You can interact with the visualization by expanding networks to the next nearest neighbors and zooming and panning to relationships of interest. You also can perceptually encode nodes and links to show additional attributes through color, size and the visual cues. You can edit networks, link out to other resources and tools, and access information associated with interactions that has been mined and summarized from the research literature information through a biology natural language processing database (BioNLP) and a multi-document summarization system, MEAD. Additionally, you can choose sub-networks of interest and use SAGA, a graph matching tool, to match these sub-networks to biological pathways. | protein interaction, network visualization, xquery, interactive database, information refining, molecular interaction, bioinformatics tool, java, protein-protein interaction, interaction network, biological effect, bimolecular, interaction, molecular, network, pathway, protein, visualization, plugin |
is listed by: Biositemaps is related to: Cytoscape is related to: Michigan Molecular Interactions has parent organization: University of Michigan; Ann Arbor; USA has parent organization: National Center for Integrative Biomedical Informatics |
NIH ; NIDA U54 DA021519; NLM R01 LM008106; NCRR P41 RR018627 |
PMID:18812364 | nif-0000-33090 | http://mimiplugin.ncibi.org/index.html | SCR_003424 | Cytoscape Plugin for MiMI, MiMI Plugin - Cytoscape Plugin for MiMI | 2026-02-16 09:46:07 | 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, web service, data access protocol, software resource | 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) | 2026-02-16 09:46:05 | 0 | |||||
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Karma Resource Report Resource Website 50+ mentions |
Karma (RRID:SCR_003732) | Karma | software application, software resource, data management software | An information integration software tool that enables users to integrate data from a variety of data sources including databases, spreadsheets, delimited text files, XML, JSON, KML and Web APIs. Users integrate information by modeling it according to an ontology of their choice using a graphical user interface that automates much of the process. Karma learns to recognize the mapping of data to ontology classes and then uses the ontology to propose a model that ties together these classes. Users then interact with the system to adjust the automatically generated model. During this process, users can transform the data as needed to normalize data expressed in different formats and to restructure it. Once the model is complete, users can publish the integrated data as RDF or store it in a database. | integration, FASEB list |
is related to: GitHub has parent organization: University of Southern California; Los Angeles; USA |
Air Force Research Laboratory FA8750-14-C-0240; NCRR 1 U24 RR025736-01; NCRR 1 UL1 RR031986-01; NSF IIS-1117913; NSF CMMI-0753124 |
PMID:15215426 | Apache License, v2 | nlx_157923 | https://github.com/InformationIntegrationGroup/Web-Karma | SCR_003732 | Karma A Data Integration Tool, Karma - A Data Integration Tool | 2026-02-16 09:46:13 | 83 | ||||
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CTSpedia Resource Report Resource Website |
CTSpedia (RRID:SCR_008733) | CTSpedia | narrative resource, training material, wiki, knowledge environment, software resource, knowledgebase, data or information resource | CTSpedia is a national effort to collect wisdom, tools, educational materials, and other items useful for clinical and translational researchers and to provide timely and useful advice to clinical and translational researchers with specific problems. The CTSpedia is a collaborative vehicle for the CTSA''s Biostatistics/Epidemiology/Research/Design (BERD) Online Resources and Education taskforce to identify and share resources across the national consortium and community researchers world-wide. With the support of the national BERD consortia, the project obtained funding and support from the National Center for Research Resources (NCRR) to expand the original scope and content of CTSpedia and foster collaboration amongst CTSAs. The main goal of CTSpedia.org is to create a definable academic home on the internet for the discipline of clinical and translational sciences across the country and the world. * While the CTSA consortium serves the onsite physical level of the institutions involved, CTSpedia.org seeks to fill the gaps where the network is lacking, and to augment that network as the central hub for the peer to peer sharing of knowledge and resources. * While the CTSA national scope comes to fruition, the international scope of the consortia is more readily facilitated with an online resource like CTSpedia. * Utilizing the collaborative nature of the wiki-style website, CTSpedia.org allows for researchers anywhere in the world to ask questions and receive answers and related information in a timely and efficient manner, overcoming the logistical issues of distance and scheduling. * The streamlined availability of an online resource and knowledge repository will aid in addressing common issues that arise in clinical research, which will filter out consultation requests for minor questions, allowing for CTSA consultants to address more prevalent consultations. | clinical research, translational research, statistical tool, statistical graphic, presentation, graphic, discussion forum, dataset, ctsa, biostatistics |
has parent organization: University of California at San Francisco; California; USA has parent organization: University of Rochester; New York; USA has parent organization: University of California at Davis; California; USA has parent organization: Vanderbilt University; Tennessee; USA |
NCRR RR024146 | nlx_143799 | SCR_008733 | CTSpedia: A Knowledge Base for Clinical and Translational Research, CTSpedia.org | 2026-02-16 09:47:15 | 0 | |||||||
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GOMO - Gene Ontology for Motifs Resource Report Resource Website 1+ mentions |
GOMO - Gene Ontology for Motifs (RRID:SCR_008864) | GOMO | software application, data processing software, data analysis service, analysis service resource, software resource, production service resource, service resource | Gene Ontology for Motifs (GOMO) is an alignment- and threshold-free comparative genomics approach for assigning functional roles to DNA regulatory motifs from DNA sequence. The algorithm detects associations between a user-specified DNA regulatory motif (expressed as a position weight matrix; PWM) and Gene Ontology terms. The original method for predicting the roles of transcription factors (TFs starts with a PWM motif describing the DNA-binding affinity of the TF. GOMO uses the PWM to score the promoter region of each gene in the genome for its likelihood to be bound by the TF. The resulting ''''affinity'''' scores are then used to test each term in the Gene Ontology for association with high-scoring genes. The algorithm was subsequently extended to leverage conserved signals using multiple, related species in a comparative approach, which greatly improves the resulting annotations. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene, motif, genomics, gene ontology, function, compare, ontology or annotation editor, statistical analysis, dna binding motif, dna binding, dna, transcription factor, sequence |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Queensland; Brisbane; Australia has parent organization: MEME Suite - Motif-based sequence analysis tools |
Australian Research Council ; University of Queensland; Brisbane; Australia ; International Research Tuition Award ; NCRR R01 RR021692 |
PMID:20147307 PMID:18544606 |
Free for academic use | nlx_149250 | SCR_008864 | Gene Ontology for Motifs | 2026-02-16 09:47:17 | 3 | |||||
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iTools Resource Report Resource Website 10+ mentions |
iTools (RRID:SCR_009626) | iTools | web service, data access protocol, software repository, data repository, software resource, storage service resource, database, service resource, data or information resource | An infrastructure for managing of diverse computational biology resources - data, software tools and web-services. The iTools design, implementation and meta-data content reflect the broad NCBC needs and expertise (www.NCBCs.org). | computational neuroscience, data, experiment control, hardware, imaging genomics, information specification, java, loni pipeline, model, ontology, os independent, metadata |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: National Centers for Biomedical Computing has parent organization: Laboratory of Neuro Imaging |
NIH Roadmap for Medical Research ; NCRR U54-RR021813; NIDA U54-DA021519; NCI U54-CA121852; NHGRI U54-HG004028; NIGMS U54-GM072970; NIBIB U54-EB005149; NLM U54-LM008748 |
PMID:18509477 | GNU Lesser General Public License | nlx_155852 | http://www.nitrc.org/projects/itools http://www.loni.usc.edu/research/software |
http://itools.loni.ucla.edu/ | SCR_009626 | ITools Resourceome, NCBC iTools | 2026-02-16 09:47:28 | 45 |
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