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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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HOMER Resource Report Resource Website 5000+ mentions |
HOMER (RRID:SCR_010881) | HOMER | data analysis software, data processing software, sequence analysis software, software application, software resource | Software tools for Motif Discovery and next-gen sequencing analysis. Used for analyzing ChIP-Seq, GRO-Seq, RNA-Seq, DNase-Seq, Hi-C and numerous other types of functional genomics sequencing data sets. Collection of command line programs for unix style operating systems written in Perl and C++. | motif, discovery, next, generation, sequencing, analysis, genomic, data |
is listed by: OMICtools is related to: findMotif.pl has parent organization: University of California at San Diego; California; USA |
Foundation Leducq Transatlantic Network Grant ; NCI CA52599; NIDDK DK063491; NIGMS P50 GM081892; NIH HC088093; NURSA consortium grant |
PMID:20513432 | OMICS_00483 | http://biowhat.ucsd.edu/homer/index.html | SCR_010881 | HOMER, Hypergeometric Optimization of Motif EnRichment, Homer, Homer v4.5 | 2026-10-17 01:27:47 | 5929 | |||||
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eMERGE Network: electronic Medical Records and Genomics Resource Report Resource Website 1+ mentions |
eMERGE Network: electronic Medical Records and Genomics (RRID:SCR_007428) | eMERGE | data or information resource, portal, topical portal | A national consortium formed to develop, disseminate, and apply approaches to research that combine DNA biorepositories with electronic medical record (EMR) systems for large-scale, high-throughput genetic research. The consortium is composed of seven member sites exploring the ability and feasibility of using EMR systems to investigate gene-disease relationships. Themes of bioinformatics, genomic medicine, privacy and community engagement are of particular relevance to eMERGE. The consortium uses data from the EMR clinical systems that represent actual health care events and focuses on ethical issues such as privacy, confidentiality, and interactions with the broader community. | human, clinical, dna, alzheimer's disease, genome, genomics, gene, genetic, nervous system disease, nucleotide polymorphism, phenotype, bioinformatics, genomic medicine, privacy, community engagement, emr, electronic medical record |
is related to: PheKB is related to: NCBI database of Genotypes and Phenotypes (dbGap) is related to: PheWAS Catalog has parent organization: Vanderbilt University; Tennessee; USA |
Aging | NIGMS ; NHGRI |
Available to the research community | nif-0000-00539 | SCR_007428 | eMERGE Network: electronic Medical Records & Genomics - A consortium of biorepositories linked to electronic medical records data for conducting genomics studies, eMERGE Network: electronic Medical Records Genomics, eMERGE Network: electronic Medical Records & Genomics, eMERGE Network, electronic Medical Records & Genomics, The eMERGE Network: electronic Medical Records & Genomics | 2026-10-17 01:26:54 | 2 | |||||
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SimTKCore Resource Report Resource Website |
SimTKCore (RRID:SCR_008268) | SimTKCore | simulation software, software application, software resource | SimTK Core is one of the two packages that together constitute SimTK, the biosimulation toolkit from the Simbios Center. The other major component of SimTK is OpenMM which is packaged separately. This SimTK Core project collects together all the binaries needed for the various SimTK Core subprojects. These include Simbody, Molmodel, Simmath (including Ipopt), Simmatrix, CPodes, SimTKcommon, and Lapack. See the individual projects for descriptions. SimTK brings together in a robust, convenient, open source form the collection of highly-specialized technologies necessary to building successful physics-based simulations of biological structures. These include: strict adherence to an important set of abstractions and guiding principles, robust, high-performance numerical methods, support for developing and sharing physics-based models, and careful software engineering. Accessible High Performance Computing We believe that a primary concern of simulation scientists is performance, that is, speed of computation. We seek to build valid, approximate models using classical physics in order to achieve reasonable run times for our computational studies, so that we can hope to learn something interesting before retirement. In the choice of SimTK technologies, we are focused on achieving the best possible performance on hardware that most researchers actually have. In today''s practice, that means commodity multiprocessors and small clusters. The difference in performance between the best methods and the do-it-yourself techniques most people use can be astoundingeasily an order of magnitude or more. The growing set of SimTK Core libraries seeks to provide the best implementation of the best-known methods for widely used computations such as: Linear algebra, numerical integration and Monte Carlo sampling, multibody (internal coordinate) dynamics, molecular force field evaluation, nonlinear root finding and optimization. All SimTK Core software is in the form of C++ APIs, is thread-safe, and quietly exploits multiple CPUs when they are present. The resulting pre-built binaries are available for download and immediate use. Audience: Biosimulation application programmers interested in including robust, high-performance physics-based simulation in their domain-specific applications. | computational algorithm, high-performance, linear algebra, numerical integration, numerical method, optimization, monte carlo sampling, multibody dynamics, molecular force field evaluation, nonlinear root finding, optimizing, cpodes, simbody, ipopt, molmodel, mit license, linux, mac os x, windows |
is listed by: Biositemaps has parent organization: Stanford University; Stanford; California has parent organization: Simtk.org |
NIGMS U54 GM072970 | PMID:20107615 | nif-0000-23310 | SCR_008268 | 2026-10-17 01:27:01 | 0 | |||||||
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Hippocampal Slice Wave Animations Resource Report Resource Website |
Hippocampal Slice Wave Animations (RRID:SCR_008372) | animation software, data or information resource, data processing software, data visualization software, portal, resource, simulation software, software application, software resource, topical portal | THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 29, 2013. Supplemental data for the paper Changes in mitochondrial function resulting from synaptic activity in the rat hippocampal slice, by Vytautas P. Bindokas, Chong C. Lee, William F. Colmers, and Richard J. Miller that appears in the Journal of Neuroscience June 15, 1998. You can view digital movies of changes in fluorescence intensity by clicking on the title of interest. | animation, hippocampal, hippocampus, mitochondrial, movie, neuroscience, rat, slice, wave | MRC of Canada MT10520; NIDA DA02575; NIDA DA02121; NIMH MH40165; NIDDK DK42086; NIDDK DK44840; NINDS NS-33502; NIGMS 5T32GM07151-22; NICHD HD07009 |
PMID:9614233 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-25609 | SCR_008372 | GIF Animations | 2026-10-17 01:27:01 | 0 | |||||||
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MODELLER Resource Report Resource Website 5000+ mentions |
MODELLER (RRID:SCR_008395) | data or information resource, portal, simulation software, software application, software resource, topical portal | Software tool as Program for Comparative Protein Structure Modelling by Satisfaction of Spatial Restraints. Used for homology or comparative modeling of protein three dimensional structures. User provides alignment of sequence to be modeled with known related structures and MODELLER automatically calculates model containing all non hydrogen atoms. | comparative, protein, structure, modelling, satisfaction, spatial, restrain, homology, 3D, alignment, sequence, hydrogen, atom, cluster |
is listed by: SoftCite has parent organization: University of California at San Francisco; California; USA |
IBM ; Intel ; NIGMS P01 GM71790; NIGMS R01 GM54762; NIGMS U54 GM62529; NIH P01 A135707; Sandler Family Supporting Foundation |
Restricted | nif-0000-30054 | SCR_008395 | 2026-10-17 01:27:18 | 5873 | ||||||||
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iTools Resource Report Resource Website 50+ mentions |
iTools (RRID:SCR_009626) | iTools | data access protocol, data or information resource, data repository, database, service resource, software repository, software resource, storage service resource, web service | 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 | 2026-10-17 01:27:20 | 53 | |||
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WEBLOGO Resource Report Resource Website 1000+ mentions |
WEBLOGO (RRID:SCR_010236) | data access protocol, service resource, software resource, web service | Web application to generate sequence logos, graphical representations of patterns within multiple sequence alignment. Designed to make generation of sequence logos easy. Sequence logo generator. | Generate sequence logo, pattern graphical representation, multiple sequence alignment, sequence logo generator, amino acid sequence alignment, nucleic acid sequence alignment, sequence alignment representation, bio.tools |
is listed by: Debian is listed by: bio.tools is listed by: SoftCite has parent organization: University of California at Berkeley; Berkeley; USA |
NHGRI K22 HG00056; NIGMS P50 GM62412; Searle Scholars program |
PMID:15173120 | Free, Available for download, Freely available | nlx_156853, biotools:weblogo_3 | http://weblogo.threeplusone.com/, https://bio.tools/weblogo_3 | SCR_010236 | WebLogo Version 2.8.2, WebLogo3, WebLogo | 2026-10-17 01:27:30 | 3980 | |||||
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Systems Biology Graphical Notation Resource Report Resource Website 1+ mentions |
Systems Biology Graphical Notation (RRID:SCR_004671) | SBGN | data or information resource, international standard specification, meeting resource, narrative resource, portal, software resource, standard specification, topical portal, training resource | The Systems Biology Graphical Notation (SBGN) project aims to develop high quality, standard graphical languages for representing biological processes and interactions. Each SBGN language is based on the consensus of the broad international SBGN community of biologists, curators and software developers. Over the course of its development many individuals, organizations and companies made invaluable contributions to the SBGN through participating in discussions and meetings, providing feedback on the documentation and worked examples, adopting the standard and spreading the word. Circuit diagrams and Unified Modeling Language diagrams are just two examples of standard visual languages that help accelerate work by promoting regularity, removing ambiguity and enabling software tool support for communication of complex information. Ironically, despite having one of the highest ratios of graphical to textual information, biology still lacks standard graphical notations. The recent deluge of biological knowledge makes addressing this deficit a pressing concern. Toward this goal, we present the Systems Biology Graphical Notation (SBGN), a visual language developed by a community of biochemists, modelers and computer scientists. SBGN consists of three complementary languages: process diagram, entity relationship diagram and activity flow diagram. Together they enable scientists to represent networks of biochemical interactions in a standard, unambiguous way. We believe that SBGN will foster efficient and accurate representation, visualization, storage, exchange and reuse of information on all kinds of biological knowledge, from gene regulation, to metabolism, to cellular signaling. A list of software packages known to provide (or have started to develop) support for SBGN notations is available. | New Energy and Industrial Technology Development Organization ; Okinawa Institute of Science and Technology ; BBSRC ; National Institute of Advanced Industrial Science and Technology of Japan ; European Media Laboratory EML Research GmbH ; California Institute of Technology; California; USA ; NIGMS 1R01GM081070-01 |
PMID:19668183 | nlx_66628 | SCR_004671 | 2026-10-17 01:26:00 | 1 | |||||||||
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Dictyostelium Anatomy Ontology Resource Report Resource Website 1+ mentions |
Dictyostelium Anatomy Ontology (RRID:SCR_005929) | controlled vocabulary, data or information resource, ontology | An ontology to describe Dictyostelium where the structural makeup of Dictyostelium and its composing parts including the different cell types, throughout its life cycle is defined. There are two main goals for this new tool: (1) promote the consistent annotation of Dictyostelium-specific events, such as phenotypes (already in use), and in the future, of gene expression information; and (2) encourage researchers to use the same terms with the same intended meaning. To this end, all terms are defined. The complete ontology can be browsed using EBI''s ontology browser tool. (http://www.ebi.ac.uk/ontology-lookup/browse.do?ontName=DDANAT) | stricture, cell type, life cycle, phenotype, gene expression | has parent organization: Dictyostelium discoideum genome database | Wellcome Trust ; NIGMS GM64426; NHGRI HG00022 |
PMID:18366659 | nlx_14988 | SCR_005929 | 2026-10-17 01:26:29 | 1 | ||||||||
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PHYLIP Resource Report Resource Website 1000+ mentions |
PHYLIP (RRID:SCR_006244) | PHYLIP | data processing software, software application, software resource, source code | A free package of software programs for inferring phylogenies (evolutionary trees). The source code is distributed (in C), and executables are also distributed. In particular, already-compiled executables are available for Windows (95/98/NT/2000/me/xp/Vista), Mac OS X, and Linux systems. Older executables are also available for Mac OS 8 or 9 systems. | phylogeny prediction, evolutionary tree, bio.tools |
is listed by: bio.tools is listed by: Debian is listed by: OMICtools is listed by: SoftCite has parent organization: University of Washington; Seattle; USA works with: PAML |
NSF ; NIGMS ; DOE |
Free | nif-0000-06708, OMICS_04240, biotools:phylip | https://bio.tools/phylip, https://sources.debian.org/src/phylip/ | SCR_006244 | PHYLogeny Inference Package | 2026-10-17 01:26:37 | 3544 | |||||
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ScerTF Resource Report Resource Website 10+ mentions |
ScerTF (RRID:SCR_006121) | ScerTF | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Catalog of over 1,200 position weight matrices (PWMs) for 196 different yeast transcription factors (TFs). They've curated 11 literature sources, benchmarked the published position-specific scoring matrices against in-vivo TF occupancy data and TF deletion experiments, and combined the most accurate models to produce a single collection of the best performing weight matrices for Saccharomyces cerevisiae. ScerTF is useful for a wide range of problems, such as linking regulatory sites with transcription factors, identifying a transcription factor based on a user-input matrix, finding the genes bound/regulated by a particular TF, and finding regulatory interactions between transcription factors. Enter a TF name to find the recommended matrix for a particular TF, or enter a nucleotide sequence to identify all TFs that could bind a particular region. | binding site, transcription factor, regulatory site, gene, regulation, regulatory interaction, matrix, nucleotide sequence, dna sequence, yeast, position weight matrix, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA |
NIGMS R01 GM078222; NHGRI HG00249 |
PMID:22140105 | biotools:scertf, nlx_151599, OMICS_00542 | http://ural.wustl.edu/ScerTF, https://bio.tools/scertf | http://ural.wustl.edu/TFDB/ | SCR_006121 | 2026-10-17 01:26:34 | 19 | |||||
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Dictyostelium discoideum genome database Resource Report Resource Website 100+ mentions |
Dictyostelium discoideum genome database (RRID:SCR_006643) | dictyBase, dictyBase gene name, dictyBase REF, DictyBase | biomaterial supply resource, material resource, organism supplier | Model organism database for the social amoeba Dictyostelium discoideum that provides the biomedical research community with integrated, high quality data and tools for Dictyostelium discoideum and related species. dictyBase houses the complete genome sequence, ESTs, and the entire body of literature relevant to Dictyostelium. This information is curated to provide accurate gene models and functional annotations, with the goal of fully annotating the genome to provide a ''''reference genome'''' in the Amoebozoa clade. They highlight several new features in the present update: (i) new annotations; (ii) improved interface with web 2.0 functionality; (iii) the initial steps towards a genome portal for the Amoebozoa; (iv) ortholog display; and (v) the complete integration of the Dicty Stock Center with dictyBase. The Dicty Stock Center currently holds over 1500 strains targeting over 930 different genes. There are over 100 different distinct amoebozoan species. In addition, the collection contains nearly 600 plasmids and other materials such as antibodies and cDNA libraries. The strain collection includes: * strain catalog * natural isolates * MNNG chemical mutants * tester strains for parasexual genetics * auxotroph strains * null mutants * GFP-labeled strains for cell biology * plasmid catalog The Dicty Stock Center can accept Dictyostelium strains, plasmids, and other materials relevant for research using Dictyostelium such as antibodies and cDNA or genomic libraries. | genome, sequence, est, literature, gene model, functional annotation, reference genome, gene, antibody, cdna, bacteria, dictyostelium discoideum, dictyostelium purpureum, dictyostelium fasciculatum, polysphondylium pallidium, bio.tools |
is used by: NIF Data Federation is listed by: One Mind Biospecimen Bank Listing is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: AmiGO is related to: Textpresso has parent organization: Northwestern University; Illinois; USA has parent organization: Baylor University; Texas; USA has parent organization: University of Cologne; Cologne; Germany is parent organization of: Dictyostelium Discoideum Anatomy Ontology is parent organization of: Dictyostelium Anatomy Ontology is parent organization of: dictyBase - Teaching Tools Using Dictyostelium discoideum |
European Union ; NHGRI HG0022; NIGMS GM087371; NIGMS GM64426 |
PMID:23172289 PMID:21087999 PMID:18974179 PMID:14681427 PMID:16381903 |
biotools:dictybase, nif-0000-20974, SCR_008149, nif-0000-02751, OMICS_03158 | https://bio.tools/dictybase | http://genome.imb-jena.de/dictyostelium/ | SCR_006643 | dictyBase gene name, dictyBase REF, Dicty, dictyBase, Dictyostelium discoideum | 2026-10-17 01:26:45 | 315 | ||||
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Ligand Expo Resource Report Resource Website |
Ligand Expo (RRID:SCR_006636) | data or information resource, database, resource | An integrated data resource for finding chemical and structural information about small molecules bound to proteins and nucleic acids within the structure entries of the Protein Data Bank. Tools are provided to search the PDB dictionary for chemical components, to identify structure entries containing particular small molecules, and to download the 3D structures of the small molecule components in the PDB entry. A sketch tool is also provided for building new chemical definitions from reported PDB chemical components. | element, fingerprint, formula, amino acid, aromatic ring, atom, bound, carbon, chemical, component, depot, ligand, molecular, molecule, nitrogen, nucleic acid, nucleotide, pharmaceutical, protein, small molecule, structure, macromolecule, model |
uses: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) uses: Worldwide Protein Data Bank (wwPDB) has parent organization: Rutgers University; New Jersey; USA has parent organization: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) |
NSF ; NIGMS ; DOE ; NLM ; NCI ; NCRR ; NIBIB ; NINDS ; NIDDK |
PMID:15059838 | nif-0000-21237, OMICS_02751 | http://ligand-depot.rutgers.edu/ | SCR_006636 | Ligand Depot | 2026-10-17 01:26:39 | 0 | ||||||
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Berkeley Bioinformatics Open-Source Projects Resource Report Resource Website 1+ mentions |
Berkeley Bioinformatics Open-Source Projects (RRID:SCR_006704) | BBOP | data or information resource, portal, software resource, topical portal | The BBOP, located at the Lawrence Berkeley National Labs, is a diverse group of scientific researchers and software engineers dedicated to developing tools and applying computational technologies to solve biological problems. Members of the group contribute to a number of projects, including the Gene Ontology, OBO Foundry, the Phenotypic Quality Ontology, modENCODE, and the Generic Model Organism Database Project. Our group is focused on the development, use, and integration of ontolgies into biological data analysis. Software written or maintained by BBOP is accessible through the site. | ontology, biology, computation, data analysis |
is related to: AmiGO has parent organization: Lawrence Berkeley National Laboratory is parent organization of: Blip: Biomedical Logic Programming is parent organization of: OwlSim is parent organization of: OBO is parent organization of: go-moose is parent organization of: GO Online SQL Environment (GOOSE) |
NHGRI ; NIGMS |
nlx_149171 | SCR_006704 | Berkeley BOP | 2026-10-17 01:26:40 | 1 | |||||||
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MouseNET Resource Report Resource Website 1+ mentions |
MouseNET (RRID:SCR_003357) | mouseNet | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | A functional network for laboratory mouse based on integration of diverse genetic and genomic data. It allows the users to accurately predict novel functional assignments and network components. MouseNET uses a probabilistic Bayesian algorithm to identify genes that are most likely to be in the same pathway/functional neighborhood as your genes of interest. It then displays biological network for the resulting genes as a graph. The nodes in the graph are genes (clicking on each node will bring up SGD page for that gene) and edges are interactions (clicking on each edge will show evidence used to predict this interaction). Most likely, the first results to load on the results page will be a list of significant Gene Ontology terms. This list is calculated for the genes in the biological network created by the mouseNET algorithm. If a gene ontology term appears on this list with a low p-value, it is statistically significantly overrepresented in this biological network. The graph may be explored further. As you move the mouse over genes in the network, interactions involving these genes are highlighted.If you click on any of the highlighted interactions graph, evidence pop-up window will appear. The Evidence pop-up lists all evidence for this interaction, with links to the papers that produced this evidence - clicking these links will bring up the relevant source citation(s) in PubMed. | gene, network, mouse, protein function, visualization, open reading frame, graph |
is listed by: OMICtools is related to: Gene Ontology is related to: mouseMAP has parent organization: Princeton University; New Jersey; USA |
NSF DBI-0546275; NIGMS R01 GM071966; NSF IIS-0513552; NIGMS P50 GM071508 |
PMID:18818725 | Free, Freely available | OMICS_01550, nif-0000-32003 | SCR_003357 | MouseNET | 2026-10-17 01:25:30 | 3 | |||||
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Cell Image Library (CIL) Resource Report Resource Website 10+ mentions |
Cell Image Library (CIL) (RRID:SCR_003510) | CIL | data or information resource, data repository, database, image repository, service resource, storage service resource | Freely accessible, public repository of vetted and annotated microscopic images, videos, and animations of cells from a variety of organisms, showcasing cell architecture, intracellular functionalities, and both normal and abnormal processes. Explore by Cell Process, Cell Component, Cell Type or Organism. The Cell includes images acquired from historical and modern collections, publications, and by recruitment. | microscopic image repository, microscopic video repository, cell animation repository, bio.tools |
is used by: NIF Data Federation is recommended by: National Library of Medicine is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: Cell Centered Database is related to: Cell Centered Database is related to: OME-TIFF Format is related to: Integrated Manually Extracted Annotation has parent organization: American Society for Cell Biology has parent organization: University of California; San Diego;National Center for Microscopy and Imaging Research - NCMIR has parent organization: University of California at San Diego; California; USA is parent organization of: Biological Imaging Methods Ontology |
NIGMS RC2 GM092708 | PMID:34218671 PMID:34218673 |
Free, Freely available | biotools:cellimagelibrary, nif-0000-37639, r3d100011601 | http://www.cellimagelibrary.org/pages/about, https://bio.tools/cellimagelibrary, https://doi.org/10.17616/R3N92J | SCR_003510 | Cell Image Library. CIL, Cell Image Library (CIL) | 2026-10-17 01:25:58 | 22 | ||||
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Reactome Resource Report Resource Website 1000+ mentions |
Reactome (RRID:SCR_003485) | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Collection of pathways and pathway annotations. The core unit of the Reactome data model is the reaction. Entities (nucleic acids, proteins, complexes and small molecules) participating in reactions form a network of biological interactions and are grouped into pathways (signaling, innate and acquired immune function, transcriptional regulation, translation, apoptosis and classical intermediary metabolism) . Provides website to navigate pathway knowledge and a suite of data analysis tools to support the pathway-based analysis of complex experimental and computational data sets. | pathway, interaction, reaction, nucleic acid, protein, complex, small molecule, signaling pathway, immune function, transcriptional regulation, translation, apoptosis, metabolism, ortholog, visualization, protein-protein interaction, web service, book, biomart, gold standard, bio.tools, FASEB list |
is used by: NIF Data Federation is used by: DisGeNET is used by: Pathway Analysis Tool for Integration and Knowledge Acquisition is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: WikiPathways is related to: Pathway Commons is related to: ConsensusPathDB is related to: FlyMine is related to: AmiGO is related to: PSICQUIC Registry is related to: Integrated Molecular Interaction Database is related to: NCBI BioSystems Database is related to: MOPED - Model Organism Protein Expression Database is related to: KOBAS is related to: PSICQUIC Registry is related to: Pathway Interaction Database is related to: hiPathDB - human integrated Pathway DB with facile visualization is related to: Algal Functional Annotation Tool has parent organization: Ontario Institute for Cancer Research has parent organization: Cold Spring Harbor Laboratory has parent organization: European Bioinformatics Institute has parent organization: New York University School of Medicine; New York; USA works with: PathwayMatcher |
European Molecular Biology Laboratory ; European Union FP6 ENFIN LSHG-CT-2005-518254; NHGRI P41 HG003751; NIGMS GM080223; NIGMS R01 GM100039; Ontario Research Fund |
PMID:21082427 PMID:21067998 |
Open source, Public, Freely available | r3d100010285, nif-0000-03390, biotools:reactome | https://bio.tools/reactome, https://doi.org/10.17616/R3V59P | SCR_003485 | Reactome Functional Interaction Network | 2026-10-17 01:25:51 | 4810 | |||||
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National Institute of General Medical Sciences Image Gallery Resource Report Resource Website |
National Institute of General Medical Sciences Image Gallery (RRID:SCR_003480) | NIGMS Image Gallery | data or information resource, image collection, video resource | Database of scientific photos, illustrations, and videos made available by the National Institute of General Medical Sciences. | training material, database, illustration, media, news, photo, research | has parent organization: National Institute of General Medical Sciences | NIGMS | Permission is granted to use these images for educational, News media or research purposes, Provided the source for each image is credited. The material in this database may not be used to promote or endorse commercial products or services. | nif-0000-33708 | SCR_003480 | 2026-10-17 01:25:57 | 0 | |||||||
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miniTUBA Resource Report Resource Website |
miniTUBA (RRID:SCR_003447) | miniTUBA | analysis service resource, production service resource, service resource, storage service resource | miniTUBA is a web-based modeling system that allows clinical and biomedical researchers to perform complex medical/clinical inference and prediction using dynamic Bayesian network analysis with temporal datasets. The software allows users to choose different analysis parameters (e.g. Markov lags and prior topology), and continuously update their data and refine their results. miniTUBA can make temporal predictions to suggest interventions based on an automated learning process pipeline using all data provided. Preliminary tests using synthetic data and laboratory research data indicate that miniTUBA accurately identifies regulatory network structures from temporal data. miniTUBA represents in a network view possible influences that occur between time varying variables in your dataset. For these networks of influence, miniTUBA predicts time courses of disease progression or response to therapies. minTUBA offers a probabilistic framework that is suitable for medical inference in datasets that are noisy. It conducts simulations and learning processes for predictive outcomes. The DBN analysis conducted by miniTUBA describes from variables that you specify how multiple measures at different time points in various variables influence each other. The DBN analysis then finds the probability of the model that best fits the data. A DBN analysis runs every combination of all the data; it examines a large space of possible relationships between variables, including linear, non-linear, and multi-state relationships; and it creates chains of causation, suggesting a sequence of events required to produce a particular outcome. Such chains of causation networks - are difficult to extract using other machine learning techniques. DBN then scores the resulting networks and ranks them in terms of how much structured information they contain compared to all possible models of the data. Models that fit well have higher scores. Output of a miniTUBA analysis provides the ten top-scoring networks of interacting influences that may be predictive of both disease progression and the impact of clinical interventions and probability tables for interpreting results. The DBN analysis that miniTUBA provides is especially good for biomedical experiments or clinical studies in which you collect data different time intervals. Applications of miniTUBA to biomedical problems include analyses of biomarkers and clinical datasets and other cases described on the miniTUBA website. To run a DBN with miniTUBA, you can set a number of parameters and constrain results by modifying structural priors (i.e. forcing or forbidding certain connections so that direction of influence reflects actual biological relationships). You can specify how to group variables into bins for analysis (called discretizing) and set the DBN execution time. You can also set and re-set the time lag to use in the analysis between the start of an event and the observation of its effect, and you can select to analyze only particular subsets of variables. | analysis, analyze, bayesian, causation, clinical, linear, medical, structure, temporal, network analysis, network, molecule, information refining, gene expression regulation, bioinformatics, statistical package, interaction network, prediction, pathway, inference, biomedical, intervention |
is listed by: Biositemaps has parent organization: National Center for Integrative Biomedical Informatics has parent organization: University of Michigan; Ann Arbor; USA |
Society of University Surgeons Foundation ; NIDA U54DA021519; NIAID 1R21AI057875-01; NIGMS K08 GM074678-01A1 |
PMID:17644819 | Free, Freely available | nif-0000-33272 | SCR_003447 | miniTUBA - Medical Inference by Network Integration of Temporal Data using Bayesian Analysis tool, Medical Inference by Network Integration of Temporal Data using Bayesian Analysis tool, Medical Inference by Network Integration of Temporal Data using Bayesian Analysis tool (miniTUBA), The Medical Inference by Network Integration of Temporal Data using Bayesian Analysis tool | 2026-10-17 01:25:51 | 0 | |||||
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ConTrack Resource Report Resource Website 10+ mentions |
ConTrack (RRID:SCR_002681) | ConTrack | data processing software, image processing software, software application, software resource | An algorithm for identifying pathways that are known to exist between two regions within DTI data of anisotropic tissue, e.g., muscle, brain, spinal cord. The ConTrack algorithms use knowledge of DTI scanning physics and apriori information about tissue architecture to identify the location of connections between two regions within the DTI data. Assuming a course of connection or pathway between these two regions is known to exist within the measured tissue, ConTrack can be used to estimate properties of these connections in-vivo. | diffusion tensor imaging, tractography, brain connectivity, mri, software, source code, pathway, fiber tractography, tissue analysis |
is listed by: Biositemaps has parent organization: Simtk.org |
NIH Roadmap for Medical Research ; NIGMS U54 GM072970; NEI EY015000 |
PMID:18831651 | Free, Available for download, Freely available | nif-0000-23303 | SCR_002681 | Connectivity Tracking, Connectivity Tracking (ConTrack) | 2026-10-17 01:25:16 | 13 |
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