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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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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 | 2026-08-29 11:21:34 | 0 | |||||
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Oxford Nanopore Technologies Resource Report Resource Website 100+ mentions |
Oxford Nanopore Technologies (RRID:SCR_003756) | Oxford Nanopore | commercial organization | Commercial organization developing a disruptive, proprietary technology platform for the direct, electronic analysis of single molecules. The instruments GridION and MinION are adaptable for the analysis of DNA, RNA, proteins, small molecules and other types of molecule. Consequently, the platform has a broad range of potential applications, including scientific research, personalized medicine, crop science and security / defence. | nanopore technology, dna, rna, protein, small molecule, molecule, analysis, nanopore, nanopore sensing |
is related to: READNA is related to: Pychopper |
nlx_158233 | SCR_003756 | Oxford Nanopore Technologies Ltd | 2026-08-29 11:21:41 | 448 | ||||||||
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Quretec Resource Report Resource Website 1+ mentions |
Quretec (RRID:SCR_003826) | Quretec | commercial organization | Commercial organization that builds software for collection, management, and analysis of complex data, most typical in biomedical domain. The solutions are generic and can be used for multitude of uses and application domains. | data capture, data management, analysis, biomedical | is related to: AgedBrainSYSBIO | Wikidata: Q30291134, grid.436973.c, nlx_158133 | https://ror.org/02ca38p84 | SCR_003826 | Quretec Ltd., Quretec Ltd | 2026-08-29 11:21:39 | 2 | |||||||
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Emergent Resource Report Resource Website 1+ mentions |
Emergent (RRID:SCR_008500) | Emergent | data or information resource, narrative resource, simulation software, software application, software resource, wiki | emergent is a comprehensive, full-featured neural network simulator that allows for the creation and analysis of complex, sophisticated models of the brain in the world. With an emphasis on qualitative analysis and teaching, it also supports the workflow of professional neural network researchers. Its high level drag-and-drop programming interface, built on top of a scripting language that has full introspective access to all aspects of networks and the software itself, allows one to write programs that seamlessly weave together the training of a network and evolution of its environment without ever typing out a line of code. Networks and all of their state variables are visually inspected in 3d, allowing for a quick visual regression of network dynamics and robot behavior. This same 3d world sports a highly accurate Newtonian physics simulation, allowing you to create rich robotics simulations (for example, a car). As a direct descendant of PDP (1986) and PDP (1999), emergent has been in development for decades. In the most recent versions available strive to distill it down to its essential elements. Those that take the time to learn the best practices will be rewarded with the ability to create and understand the most complicated neural models ever published. | neural, simulator, network, analysis, software, simulation, physics, newtonian |
is related to: PDP++ Software Home Page has parent organization: University of Colorado Boulder; Colorado; USA |
NIMH R01 MH069597-01; NIMH MH47566; DARPA/ONR N00014-05-1-0880; ONR N00014-03-1-0428 |
nif-0000-30515 | SCR_008500 | Emergent Neural Network Simulation System, PDP++ | 2026-08-29 11:23:06 | 4 | |||||||
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Cambridge Neuroscience Department Resource Report Resource Website 1+ mentions |
Cambridge Neuroscience Department (RRID:SCR_008649) | data or information resource, department portal, organization portal, portal | This portal provides information about the neuroscience department at the University of Cambridge. Cambridge has a strong tradition in neuroscience having been host to the first analyses of neural signaling in the 1930s, determined the mechanisms of neuronal firing in the 1950s, and heralded some of the early theoretical approaches to the functions of neural circuitry in the 1960s. Neuroscience continues to grow at Cambridge, with an impressive record of achievement in multidisciplinary research. | education, analysis, circuitry, department, graduate, mechanism, neural, neuron, neuronal, neuroscience, research, signaling, theoretical, undergraduate | has parent organization: University of Cambridge; Cambridge; United Kingdom | nif-0000-33002 | SCR_008649 | Cambridge Neuroscience | 2026-08-29 11:23:21 | 1 | |||||||||
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Agile Protein Interactomes DataServer Resource Report Resource Website 10+ mentions |
Agile Protein Interactomes DataServer (RRID:SCR_008871) | APID | analysis service resource, data access protocol, data analysis service, data or information resource, database, production service resource, service resource, software resource, web service | APID Interactomes (Agile Protein Interactomes DataServer) provides information on the protein interactomes of numerous organisms, based on the integration of known experimentally validated protein-protein physical interactions (PPIs). The interactome data includes a report on quality levels and coverage over the proteomes for each organism included. APID integrates PPIs from primary databases of molecular interactions (BIND, BioGRID, DIP, HPRD, IntAct, MINT) and also from experimentally resolved 3D structures (PDB) where more than two distinct proteins have been identified. This collection references protein interactors, through a UniProt identifier. | protein, protein interaction, interactions, ppi, interactomes, analysis, gene, ontology, functional, environment, data, network, graphic, visualize |
is listed by: Gene Ontology Tools is related to: PSICQUIC Registry is related to: Gene Ontology is related to: BIND is related to: Biological General Repository for Interaction Datasets (BioGRID) is related to: Database of Interacting Proteins (DIP) is related to: HPRD - Human Protein Reference Database is related to: IntAct is related to: MINT has parent organization: University of Salamanca; Salamanca; Spain |
Junta de Castilla y Leon ; Spanish Ministerio de Sanidad y Consumo |
PMID:27131791 PMID:30715274 |
Free for academic use | r3d100012339, nlx_149321 | https://doi.org/10.17616/R3407P, https://doi.org/10.17616/R3407P | SCR_008871 | Agile Protein Interactomes DataServer, APID, APID Interactomes, Agile Protein Interactomes DataServer (APID), APID (Agile Protein Interactomes DataServer) | 2026-08-29 11:23:27 | 14 | ||||
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GMA Resource Report Resource Website |
GMA (RRID:SCR_009212) | GMA | data analysis software, data processing software, software application, software resource, time-series analysis software | Software package to perform Granger mediation analysis for time series. Includes single level GMA model and two-level GMA model, for time series with hierarchically nested structure. | Granger, meditation, analysis, time, series, level, GMA, model, BRAIN Initiative, bio.tools |
is recommended by: BRAIN Initiative is listed by: Genetic Analysis Software is listed by: Debian is listed by: bio.tools |
NIBIB EB022911 | PMID:31070732 | Free, Available for download, Freely available | nlx_154361, biotools:GMA | https://github.com/chaoning/GMA, https://bio.tools/GMA | http://www.montana.edu/kalinowski/GMA/GMA_Home.htm | SCR_009212 | Granger Mediation Analysis | 2026-08-29 11:23:31 | 0 | |||
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Neural Decoding Toolbox Resource Report Resource Website 10+ mentions |
Neural Decoding Toolbox (RRID:SCR_009012) | NDT | data analysis software, data processing software, software application, software resource, software toolkit | Matlab toolbox that makes it easy to apply decoding analyses to neural data. The design of the toolbox revolves around four abstract object classes which enables users to interchange particular modules in order to try different analyses while keeping the rest of the processing stream intact. The toolbox is capable of analyzing data from many different types of recording modalities, and examples are given on how it can be used to decode basic visual information from neural spiking activity and how it can be used to examine how invariant the activity of a neural population is to stimulus transformations. | population decoding, neuron, analysis, matlab, data analysis, machine learning, multivariate pattern analysis, neural decoding | has parent organization: Massachusetts Institute of Technology; Massachusetts; USA; | DARPA ; IPTO ; DSO ; AFSOR-THRL ; Adobe Systems ; Honda Research Institute USA ; King Abdullah University of Science and Technology ; NEU ; Sony ; Eugene McDermott Foundation ; NSF 0640097; NSF 0827427; NSF FA8650-05-C-7262 |
PMID:23734125 | Acknowledgement requested, Account required | nlx_152729 | SCR_009012 | 2026-08-29 11:23:17 | 19 | ||||||
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Brain Architecture Management System Resource Report Resource Website 1+ mentions |
Brain Architecture Management System (RRID:SCR_007251) | BAMS | controlled vocabulary, data or information resource, data repository, database, ontology, service resource, storage service resource | Knowledge management system designed to handle neurobiological information at different levels of organization of vertebrate nervous system. Database and repository for information about neural circuitry, storing and analyzing data concerned with nomenclature, taxonomy, axonal connections, and neuronal cell types. Handles data and metadata collated from original literature, or inserted by scientists that is associated to four levels of organization of vertebrate nervous system. Data about expressed molecules, neuron types and classes, brain regions, and networks of brain regions. | neurobiology, vertebrate, nervous, system, database, repository, neural, circuitry, analysis, data, nomenclature, taxonomy, axonal, connection, cell, |
is used by: NIF Data Federation is used by: Integrated Nervous System Connectivity is related to: Integrated Manually Extracted Annotation has parent organization: University of Southern California; Los Angeles; USA is parent organization of: BAMS Nested Regions is parent organization of: BAMS Connectivity is parent organization of: BAMS Cells is parent organization of: BAMS Neuroanatomical Ontology |
Human Brain Project ; NIBIB ; NIMH MH61223; NINDS NS16686; NINDS NS50792 |
Restricted | nif-0000-00018 | http://brancusi.usc.edu/bkms/ | SCR_007251 | Brain Architecture Management System, The Brain Architecture Management System | 2026-08-29 11:23:06 | 6 | |||||
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GeneNetWorks Resource Report Resource Website 1+ mentions |
GeneNetWorks (RRID:SCR_008034) | data acquisition software, data analysis software, data or information resource, data processing software, data visualization software, database, software application, software resource | GeneNetWorks is designed for accumulation of experimental data, data navigation, data analysis, and analysis of dependencies in the field of gene expression regulation. It integrates the databases and programs for processing the data about structure and function of DNA, RNA, and proteins, together with the other information resources important for gene expression description. The unique property of above described system is that all the resources within the system GeneNetWorks are divided according to the natural hierarchy of molecular genetic systems and has the following levels: (1) DNA; (2) RNA; (3) proteins; and (4) gene networks. Each module contains: 1) experimental data represented as a database or some sample; 2) program for data analysis; 3) results of an automated data processing; 4) tools for the graphical representation of these data and the results of the data analyses. | experimental, expression, gene, gene regulation, genetic, analysis, data, dna, graphical, molecular, navigation, network, program, protein, rna, software, system | nif-0000-10232 | SCR_008034 | GNW | 2026-08-29 11:22:58 | 1 | ||||||||||
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Genomatix Software: Understanding Gene Regulation Resource Report Resource Website 500+ mentions |
Genomatix Software: Understanding Gene Regulation (RRID:SCR_008036) | data analysis software, data or information resource, data processing software, database, narrative resource, portal, short course material, software application, software resource, topical portal, training material | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 13,2026. Genomatix is a privately held company that offers software, databases, and services aimed at understanding gene regulation at the molecular level representing a central part of systems biology. Its multilayer integrative approach is a working implementation of systems biology principles. Genomatix combines sequence analysis, functional promoter analysis, proprietary genome annotation, promoter sequence databases, comparative genomics, scientific literature data mining, pathway databases, biological network databases, pathway analysis, network analysis, and expression profiling into working solutions and pipelines. It also enables better understanding of biological mechanisms under different conditions and stimuli in the biological context of your data. Some of Genomatix'' most valuable assets are the strong scientific background and the years of experience in research & discovery as well as in development & application of scientific software. Their firsthand knowledge of all the complexities involved in the in-silico analysis of biological data makes them a first-rate partner for all scientific projects involving the evaluation of gene regulatory mechanisms. The Genomatix team has more than a decade of scientific expertise in the successful application of computer aided analysis of gene regulatory networks, which is reflected by more than 150 peer reviewed scientific publications from Genomatix'' scientists More than 35,000 researchers in industry and academia around the world use this technology. The software available in Genomatix are: - GenomatixSuite: GenomatixSuite is our comprehensive software bundle including ElDorado, Gene2Promoter, GEMS Launcher, MatInspector and MatBase. GenomatixSuite PE also includes BiblioSphere Pathway Edition. Chromatin IP Software - RegionMiner: Fast, extensive analysis of genomic regions. - ChipInspector: Discover the real power of your microarray data. Genome Annotation Software - ElDorado: Extended Genome Annotation. - Gene2Promoter: Retrieve & analyze promoters - GPD: The Genomatix Promoter Database, which is now included with Gene2Promoter. Knowledge Mining Software - BiblioSpere : The next level of pathway/genomics analysis. - LitInspector: Literature and pathway analysis for free. Sequence Analysis Software - GEMS Launcher: Our integrated collection of sequence analysis tools. - MalInspector: Search transcription factor binding sites - MatBase: The transcription factor knowledge base. Other (no registration required) Software - DiAlign: Multiple alignment of DNA/protein sequence. - Genomatix tools: Various small tools for sequence statistics, extraction, formatting, etc. | effect, expression, functional, gene, genome, alignment, analysis, annotation, biological, cascade, cell, data, dna, in-silico analysis, mechanism, metabolic pathway, microarray, mining, molecular, network, pathway, promoter, protein, region, regulation, scientific, sequence, signaling, software, stimulus, systems biology, technology, text mining, transcription, FASEB list | has parent organization: Genomatix Solutions | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10236 | http://www.genomatix.de/products/index.html | SCR_008036 | Genomatix | 2026-08-29 11:23:06 | 887 | |||||||
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GeneWindow Resource Report Resource Website 1+ mentions |
GeneWindow (RRID:SCR_008183) | data analysis software, data processing software, software application, software resource | Software tool for pre- and post-genetic bioinformatics and analytical work, developed and used at the Core Genotyping Facility (CGF) at the National Cancer Institute. While Genewindow is implemented for the human genome and integrated with the CGF laboratory data, it stands as a useful tool to assist investigators in the selection of variants for study in vitro, or in novel genetic association studies. The Genewindow application and source code is publicly available for use in other genomes, and can be integrated with the analysis, storage, and archiving of data generated in any laboratory setting. This can assist laboratories in the choice and tracking of information related to genetic annotations, including variations and genomic positions. Features of GeneWindow include: -Intuitive representation of genomic variation using advanced web-based graphics (SVG) -Search by HUGO gene symbol, dbSNP ID, internal CGF polymorphism ID, or chromosome coordinates -Gene-centric display (only when a gene of interest is in view) oriented 5 to 3 regardless of the reference strand and adjacent genes -Two views, a Locus Overview, which varies in size depending on the gene or genomic region being viewed and, below it, a Sequence View displaying 2000 base pairs within the overview -Navigate the genome by clicking along the gene in the Locus Overview to change the Sequence View, expand or contract the genomic interval, or shift the view in the 5 or 3 direction (relative to the current gene) -Lists of available genomic features -Search for sequence matches in the Locus Overview -Genomic features are represented by shape, color and opacity with contextual information visible when the user moves over or clicks on a feature -Administrators can insert newly-discovered polymorphisms into the Genewindow database by entering annotations directly through the GUI -Integration with a Laboratory Information Management System (LIMS) or other databases is possible | gene, genetic, analysis, annotation, archive, bioinformatic, cancer, genome, genomic, genotype, genotyping, human, human genome databases, maps, polymorphism, position, variation, data set |
is listed by: 3DVC has parent organization: National Cancer Institute |
nif-0000-21173 | SCR_008183 | GeneWindow | 2026-08-29 11:23:00 | 1 | |||||||||
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Hardy-Weinberg Equilibrium Calculator Resource Report Resource Website 100+ mentions |
Hardy-Weinberg Equilibrium Calculator (RRID:SCR_008371) | simulation software, software application, software resource | This portal leads to the Chi-sq Hardy-Weinberg equilibrium test calculator for biallelic markers (SNPs, indels etc), including analysis for ascertainment bias for dominant/recessive models (due to biological or technical causes.) The purpose of this web program is for estimating possible missingness and an approach to evaluating missingness under different genetic models. Mendelian randomization (MR) permits causal inference between exposures and a disease. It can be compared with randomized controlled trials. Whereas in a randomized controlled trial the randomization occurs at entry into the trial, in MR the randomization occurs during gamete formation and conception. Several factors, including time since conception and sampling variation, are relevant to the interpretation of an MR test. Particularly important is consideration of the missingness of genotypes that can be originated by chance, genotyping errors, or clinical ascertainment. Testing for Hardy-Weinberg equilibrium (HWE) is a genetic approach that permits evaluation of missingness. Through this tool, the authors demonstrate evidence of nonconformity with HWE in real data. They also perform simulations to characterize the sensitivity of HWE tests to missingness. Unresolved missingness could lead to a false rejection of causality in an MR investigation of trait-disease association. These results indicate that large-scale studies, very high quality genotyping data, and detailed knowledge of the life-course genetics of the alleles/genotypes studied will largely mitigate this risk. Sponsors: This resource is supported by an Intermediate Fellowship (grant FS/05/065/19497) from the British Heart Foundation. | gamete, genetic, allele, analysis, biallelic, biological, caluclator, conception, disease, dominant, genotype, hardy-weinberg equilibrium, marker, mendelian, model, randomization, recessive, snp, test, trait | nif-0000-25608 | SCR_008371 | HWE Calculator | 2026-08-29 11:23:13 | 103 | ||||||||||
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GWAMA Resource Report Resource Website 100+ mentions |
GWAMA (RRID:SCR_006624) | GWAMA | data analysis software, data processing software, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software tool for meta analysis of whole genome association data. | meta, analysis, genome, association, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Wellcome Trust Centre for Human Genetics |
PMID:20509871 DOI:10.1186/1471-2105-11-288 |
THIS RESOURCE IS NO LONGER IN SERVICE | biotools:gwama, OMICS_00235 | https://bio.tools/gwama, https://sources.debian.org/src/gwama/ | http://www.well.ox.ac.uk/GWAMA/ | SCR_006624 | Genome-Wide Association Meta Analysis | 2026-08-29 11:22:40 | 177 | ||||
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PhysioToolkit Resource Report Resource Website 1+ mentions |
PhysioToolkit (RRID:SCR_006868) | PhysioToolkit | data analysis software, data processing software, signal processing software, software application, software repository, software resource, source code, time-series analysis software | Growing library of software for physiologic signal processing and analysis, detection of physiologically significant events using both classical techniques and novel methods based on statistical physics and nonlinear dynamics, interactive display and characterization of signals, creation of new databases, simulation of physiologic and other signals, quantitative evaluation and comparison of analysis methods, and analysis of nonequilibrium and nonstationary processes. A unifying theme of the research projects that contribute software to PhysioToolkit is the extraction of hidden information from biomedical signals, information that may have diagnostic or prognostic value in medicine, or explanatory or predictive power in basic research. Contributions of software to PhysioToolkit are welcome, http://physionet.org/guidelines.shtml#software-contributions | signal processing, analysis, matlab, wfcb, data visualization, data mining, model, simulation, deidentification, data import, data export | is related to: Physiobank | PMID:10851218 | GNU General Public License, The community can contribute to this resource | nlx_152537 | SCR_006868 | 2026-08-29 11:22:46 | 5 | |||||||
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RamiGO Resource Report Resource Website 10+ mentions |
RamiGO (RRID:SCR_006922) | RamiGO | software resource | Software package with an R interface sending requests to AmiGO visualize, retrieving DAG GO trees, parsing GraphViz DOT format files and exporting GML files for Cytoscape. Also uses RCytoscape to interactively display AmiGO trees in Cytoscape. | visualization, analysis, ontology or annotation search engine, ontology or annotation visualization, other analysis, classification, go, graph, network, third party client, windows, mac os x, linux, unix, bio.tools |
is listed by: Gene Ontology Tools is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology is related to: Cytoscape is related to: AmiGO has parent organization: Dana-Farber Cancer Institute has parent organization: Bioconductor |
PMID:23297033 | Artistic License, v2 | biotools:ramigo, OMICS_02267, nlx_149331 | http://bioconductor.org/packages/release/bioc/html/RamiGO.html, https://bio.tools/ramigo | SCR_006922 | ramigo, RamiGO - AmiGO visualize R interface | 2026-08-29 11:22:47 | 12 | |||||
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HAMSTeRS - The Haemophilia A Mutation Structure Test and Resource Site Resource Report Resource Website 1+ mentions |
HAMSTeRS - The Haemophilia A Mutation Structure Test and Resource Site (RRID:SCR_006883) | HAMSTeRS, HADB, HADB/HAMSTeRS, HADB / HAMSTeRS | data or information resource, data repository, database, service resource, storage service resource |
THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 27, 2019. Database for those interested in the consequences of Factor VIII genetic variation at the DNA and protein level, it provides access to data on the molecular pathology of haemophilia A. The database presents a review of the structure and function of factor VIII and the molecular genetics of haemophilia A, a real time update of the biostatistics of each parameter in the database, a molecular model of the A1, A2 and A3 domains of the factor VIII protein (based on the crystal structure of caeruloplasmin) and a bulletin board for discussion of issues in the molecular biology of factor VIII. The database is completely updated with easy submission of point mutations, deletions and insertions via e-mail of custom-designed forms. A methods section devoted to mutation detection is available, highlighting issues such as choice of technique and PCR primer sequences. The FVIII structure section now includes a download of a FVIII A domain homology model in Protein Data Bank format and a multiple alignment of the FVIII amino-acid sequences from four species (human, murine, porcine and canine) in addition to the virtual reality simulations, secondary structural data and FVIII animation already available. Finally, to aid navigation across this site, a clickable roadmap of the main features provides easy access to the page desired. Their intention is that continued development and updating of the site shall provide workers in the fields of molecular and structural biology with a one-stop resource site to facilitate FVIII research and education. To submit your mutants to the Haemophilia A Mutation Database email the details. (Refer to Submission Guidelines) |
function, gene, genetic, analysis, bioinformatic, biological, biostatistic, caeruloplasmiin, crystal, haemophilia a, human, murine, porcine, canine, level, molecular, molecule, mutation, nucleic acid, or disease- specific databases, pathology, structural, structure, system-, vitromutagenesis, fviii genetic variation, dna, protein, factor viii, blood-clotting protein, point mutation, deletion, insertion | has parent organization: Imperial College London; London; United Kingdom | Pfizer UK ; MRC |
PMID:9399839 PMID:9016520 PMID:8594555 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21184 | http://europium.csc.mrc.ac.uk/WebPages/Main/main.htm, http://hadb.org.uk/ | SCR_006883 | HAMSTeRS - The Haemophilia A Mutation Structure Test Resource Site, Haemophilia A Mutation Database, Haemophilia A Mutation Structure Test and Resource Site, Haemophilia A Mutation Structure Test Resource Site | 2026-08-29 11:22:54 | 9 | ||||
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Gene Ontology Tools Resource Report Resource Website 10+ mentions |
Gene Ontology Tools (RRID:SCR_006941) | GO Tools | catalog, data or information resource, database, software repository, software resource | Collection of tools developed by GO Consortium and by third parties. Tools are listed by category or alphabetically and continue to be improved and expanded. | registry, annotation browser, annotation search engine, annotation visualization, ontology, annotation editor, database, data warehouse, software library, statistical analysis, slimmer-type tool, term enrichment, text mining, protein interaction, functional similarity, semantic similarity, analysis, annotation, visualization, editor |
lists: GOALIE lists: GenNav lists: High-Throughput GoMiner lists: Onto-Design lists: Avadis lists: GONUTS lists: PiNGO lists: TM4 Microarray Software Suite - TIGR MultiExperiment Viewer lists: FunSimMat lists: BioPerl lists: Database for Annotation Visualization and Integrated Discovery lists: GOToolBox Functional Investigation of Gene Datasets lists: StRAnGER lists: Short Time-series Expression Miner (STEM) lists: GORetriever lists: Gene Ontology Browsing Utility (GOBU) lists: GeneTools lists: GOSlimViewer lists: go-moose lists: Network Ontology Analysis lists: OBO-Edit lists: Onto-Compare lists: Onto-Express lists: OntoVisT lists: STRAP lists: CGAP GO Browser lists: COBrA lists: Gene Class Expression lists: GeneInfoViz lists: GOfetcher lists: GoFish lists: GOProfiler lists: GOanna lists: Manatee lists: Pandora - Protein ANnotation Diagram ORiented Analysis lists: TAIR Keyword Browser lists: Wandora lists: GeneMANIA lists: GOTaxExplorer lists: go-db-perl lists: Onto-Miner lists: Onto-Translate lists: ToppGene Suite lists: DBD - Slim Gene Ontology lists: go-perl lists: ONTO-PERL lists: OWLTools lists: Blip: Biomedical Logic Programming lists: OWL API lists: CLENCH lists: BiNGO: A Biological Networks Gene Ontology tool lists: CateGOrizer lists: FuSSiMeG: Functional Semantic Similarity Measure between Gene-Products lists: ProteInOn lists: GeneMerge lists: GraphWeb lists: ClueGO lists: CLASSIFI - Cluster Assignment for Biological Inference lists: GOHyperGAll lists: FuncAssociate: The Gene Set Functionator lists: GOdist lists: FuncExpression lists: FunCluster lists: FIVA - Functional Information Viewer and Analyzer lists: GARBAN lists: GOEx - Gene Ontology Explorer lists: SGD Gene Ontology Slim Mapper lists: GOArray lists: GoSurfer lists: GOtcha lists: MAPPFinder lists: GoAnnotator lists: MetaGeneProfiler lists: OntoGate lists: ProfCom - Profiling of complex functionality lists: SerbGO lists: SOURCE lists: Ontologizer lists: THEA - Tools for High-throughput Experiments Analysis lists: Generic GO Term Mapper lists: GREAT: Genomic Regions Enrichment of Annotations Tool lists: GoBean - a Java application for Gene Ontology enrichment analysis lists: TXTGate lists: GO-Module lists: IT-GOM: Integrated Tool for IC-based GO Semantic Similarity Measures lists: G-SESAME - Gene Semantic Similarity Analysis and Measurement Tools lists: Expression Profiler lists: GOChase lists: Whatizit lists: REViGO lists: WEGO - Web Gene Ontology Annotation Plot lists: Blast2GO lists: InterProScan lists: PubSearch lists: GO Online SQL Environment (GOOSE) lists: Gene Ontology For Functional Analysis (GOFFA) lists: MGI GO Browser lists: GOEAST - Gene Ontology Enrichment Analysis Software Toolkit lists: Ontology Lookup Service lists: WebGestalt: WEB-based GEne SeT AnaLysis Toolkit lists: g:Profiler lists: OwlSim lists: GOrilla: Gene Ontology Enrichment Analysis and Visualization Tool lists: FastSemSim lists: RamiGO lists: GeneCodis lists: FunSpec lists: FunNet - Transcriptional Networks Analysis lists: agriGO lists: GOblet lists: DynGO lists: SeqExpress lists: ProbeExplorer lists: GOstat lists: Onto-Express To Go (OE2GO) lists: Tk-GO lists: Spotfire lists: GOMO - Gene Ontology for Motifs lists: GFINDer: Genome Function INtegrated Discoverer lists: Agile Protein Interactomes DataServer lists: elk-reasoner lists: Flash Gviewer lists: L2L Microarray Analysis Tool lists: OnEx - Ontology Evolution Explorer lists: Semantic Measures Library lists: AmiGO lists: Babelomics lists: T-profiler lists: QuickGO lists: FSST - Functional Similarity Search Tool lists: GoPubMed lists: Bioconductor lists: ErmineJ lists: Comparative Toxicogenomics Database (CTD) lists: LexGrid lists: Candidate Genes to Inherited Diseases lists: EGAN: Exploratory Gene Association Networks lists: Generic GO Term Finder lists: Integrated Manually Extracted Annotation lists: EASE: the Expression Analysis Systematic Explorer is listed by: NIF Data Federation has parent organization: Gene Ontology |
Free, Freely available | nlx_146273 | https://neuinfo.org/mynif/search.php?q=*&t=indexable&nif=nlx_146273-1 | http://www.geneontology.org/GO.tools.shtml | SCR_006941 | 2026-08-29 11:22:47 | 27 | ||||||
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Cambridge Brain Activation Resource Report Resource Website 10+ mentions |
Cambridge Brain Activation (RRID:SCR_007109) | CamBA | data processing software, image analysis software, software application, software resource, software toolkit, workflow software | Suite of programs developed for fMRI analysis in a Virtual Pipeline Laboratory facilitates combining program modules from different software packages into processing pipelines to create analysis solutions which are not possible with a single software package alone. Current pipelines include fMRI analysis, statistical testing based on randomization methods and fractal spectral analysis. Pipelines are continually being added. The software is mostly written in C. This fMRI analysis package supports batch processing and comprises the following general functions at the first level of individual image analysis: movement correction (interpolation and regression), time series modeling, data resampling in the wavelet domain, hypothesis testing at voxel and cluster levels. Additionally, there is code for second level analysis - group and factorial or ANOVA mapping - after co-registration of voxel statistic maps from individual images in a standard space. The main point of difference from other fMRI analysis packages is the emphasis throughout on the use of data resampling (permutation or randomization) as a basis for inference on individual, group and factorial test statistics at voxel and cluster levels of resolution. | analysis, brain, anova, resampling, statistical, wavelet, fmri, pipeline, affine warp, algorithm or reusable library, application, c, image-to-template, java, linux, macos, magnetic resonance, nifti-1, posix/unix-like, registration, regression, spatial transformation, spectral analysis, statistical operation, temporal transformation, time domain analysis, unix shell, warping, wavelet transformation, web environment |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps has parent organization: University of Cambridge; Cambridge; United Kingdom |
GlaxoSmithKline ; Human Brain Project ; NIMH ; NIBIB |
GNU General Public License | nif-0000-00267 | http://www-bmu.psychiatry.cam.ac.uk/software/ | SCR_007109 | 2026-08-29 11:22:51 | 11 | ||||||
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CD-HIT Resource Report Resource Website 1000+ mentions |
CD-HIT (RRID:SCR_007105) | CD-HIT | data processing software, software application, software resource, source code | 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 | 2026-08-29 11:22:51 | 3223 |
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