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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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GASV Resource Report Resource Website 1+ mentions |
GASV (RRID:SCR_000061) | GASV | data analysis software, software resource, data processing software, software application | Software tool for identifying structural variants (SVs) from paired-end sequencing data.GASV distribution includes three components that are typically run in succession: the BAM file of unique paired-read mappings is processed; structural variants are identified by clustering discordant fragments; and a probabilistic algorithm improves the specificity of GASV predictions. | paired-end sequencing data, structural variant, probabilistic algorithm, discordant fragment, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: GASVPro has parent organization: Brown University; Rhode Island; USA |
Burroughs Wellcome Fund ; Department of Defense Breast Cancer Research ; ADVANCE Program at Brown University ; NSF 0548311 |
PMID:19477992 | Free, Available for download, Freely available | biotools:gasv, OMICS_01352 | http://compbio.cs.brown.edu/projects/gasv/ https://bio.tools/gasv |
SCR_000061 | Geometric Analysis of Structural Variants | 2026-02-14 01:59:36 | 4 | ||||
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SiPhy Resource Report Resource Website 1+ mentions |
SiPhy (RRID:SCR_000564) | SiPhy | sequence analysis resource | Software that implements rigorous statistical tests to detect bases under selection from a multiple alignment data. It takes full advantage of deeply sequenced phylogenies to estimate both unlikely substitution patterns as well as slowdowns or accelerations in mutation rates. It can be applied as an Hidden Markov Model (HMM), in sliding windows, or to specific regions. | java, mutation, phylogeny, substitution pattern, mutation rate |
is listed by: OMICtools has parent organization: Broad Institute |
NHGRI ; NSF |
PMID:19478016 | Free, Available for download, Freely available, | OMICS_00183 | SCR_000564 | 2026-02-14 01:59:46 | 6 | ||||||
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forqs Resource Report Resource Website |
forqs (RRID:SCR_000643) | forqs | software resource, simulation software, software application | Software for forward-in-time population genetics simulation that tracks individual haplotype chunks as they recombine each generation. It also also models quantitative traits and selection on those traits. | c++, linux, osx, windows, command line, simulation, recombination, quantitative trait, selection, haplotype pattern |
is listed by: OMICtools has parent organization: University of California at Los Angeles; California; USA has parent organization: Bitbucket |
NHGRI HG002536; NHGRI R01 HG007089; NSF EF-0928690 |
PMID:24336146 | Free, Available for download, Freely available | OMICS_02196 | SCR_000643 | Forward-in-time simulation of Recombination, and Selection, Quantitative traits | 2026-02-14 01:59:46 | 0 | |||||
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Yogo Data Management System Resource Report Resource Website |
Yogo Data Management System (RRID:SCR_004239) | software resource, source code, software toolkit, software application | A set of software tools created to rapidly build scientific data-management applications. These applications will enhance the process of data annotation, analysis, and web publication. The system provides a set of easy-to-use software tools for data sharing by the scientific community. It enables researchers to build their own custom-designed data management systems. The problem of scientific data management rests on several challenges. These include flexible data storage, a way to share the stored data, tools to curate the data, and history of the data to show provenance. The Yogo Framework gives you the ability to build scientific data management applications that address all of these challenges. The Yogo software is being developed as part of the NeuroSys project. All tools created as part of the Yogo Data Management Framework are open source and released under an OSI approved license. | has parent organization: Montana State University | The Michael J. Fox Foundation for Parkinsons Research ; Lumina Foundation ; NSF ; EPSCoR Program ; Montana State University; Montana; USA ; NIMH MH0441-07 |
Open unspecified license | nlx_25179 | SCR_004239 | Yogo Framework, Yogo Data Management Framework, Yogo | 2026-02-14 02:00:56 | 0 | ||||||||
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Open Connectome Project Resource Report Resource Website 1+ mentions |
Open Connectome Project (RRID:SCR_004232) | Open Connectome Project | data repository, storage service resource, web service, data analysis service, image repository, analysis service resource, data set, data or information resource, production service resource, source code, service resource, data access protocol, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 9, 2023. Connectomes repository to facilitate the analysis of connectome data by providing a unified front for connectomics research. With a focus on Electron Microscopy (EM) data and various forms of Magnetic Resonance (MR) data, the project aims to make state-of-the-art neuroscience open to anybody with computer access, regardless of knowledge, training, background, etc. Open science means open to view, play, analyze, contribute, anything. Access to high resolution neuroanatomical images that can be used to explore connectomes and programmatic access to this data for human and machine annotation are provided, with a long-term goal of reconstructing the neural circuits comprising an entire brain. This project aims to bring the most state-of-the-art scientific data in the world to the hands of anybody with internet access, so collectively, we can begin to unravel connectomes. Services: * Data Hosting - Their Bruster (brain-cluster) is large enough to store nearly any modern connectome data set. Contact them to make your data available to others for any purpose, including gaining access to state-of-the-art analysis and machine vision pipelines. * Web Viewing - Collaborative Annotation Toolkit for Massive Amounts of Image Data (CATMAID) is designed to navigate, share and collaboratively annotate massive image data sets of biological specimens. The interface is inspired by Google Maps, enhanced to allow the exploration of 3D image data. View the fork of the code or go directly to view the data. * Volume Cutout Service - RESTful API that enables you to select any arbitrary volume of the 3d database (3ddb), and receive a link to download an HDF5 file (for matlab, C, C++, or C#) or a NumPy pickle (for python). Use some other programming language? Just let them know. * Annotation Database - Spatially co-registered volumetric annotations are compactly stored for efficient queries such as: find all synapses, or which neurons synapse onto this one. Create your own annotations or browse others. *Sample Downloads - In addition to being able to select arbitrary downloads from the datasets, they have also collected a few choice volumes of interest. * Volume Viewer - A web and GPU enabled stand-alone app for viewing volumes at arbitrary cutting planes and zoom levels. The code and program can be downloaded. * Machine Vision Pipeline - They are building a machine vision pipeline that pulls volumes from the 3ddb and outputs neural circuits. - a work in progress. As soon as we have a stable version, it will be released. * Mr. Cap - The Magnetic Resonance Connectome Automated Pipeline (Mr. Cap) is built on JIST/MIPAV for high-throughput estimation of connectomes from diffusion and structural imaging data. * Graph Invariant Computation - Upload your graphs or streamlines, and download some invariants. * iPad App - WholeSlide is an iPad app that accesses utilizes our open data and API to serve images on the go. | human, primary visual cortex, data sharing, male, electron microscopy, mri, connectome, annotation, image collection, array tomography |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: CATMAID is related to: neurodata is parent organization of: Rambo3D |
Johns Hopkins University; Maryland; USA ; JHU Applied Research Laboratory IRAD ; JHU Whiting School of Engineering ; Dean's Award ; NIBIB 1RO1EB016411-01 (CRCNS); DARPA N66001-14-1-4028 (GRAPHS); NSF ACI-1261715; NSF OCI-1040114; NIDA 1R01DA036400-01; |
PMID:23707591 | THIS RESOURCE IS NO LONGER IN SERVICE | SciRes_000189, nlx_143645 | http://openconnecto.me http://www.nitrc.org/projects/ocp/ |
SCR_004232 | openconnectomeproject, Open Connectome Project: Collectively reverse-engineering the brain one synapse at a time., Open Connectome Project: Collectively reverse-engineering the brain one synapse at a time | 2026-02-14 02:00:57 | 7 | ||||
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DRUT Resource Report Resource Website |
DRUT (RRID:SCR_004351) | DRUT | software resource | Software for Discovery and Reconstruction of Unannotated Transcripts in Partially Annotated Genomes from High-Throughput RNA-Seq Data. | c++, reconstruction, frequency estimation, transcript, rna-seq, annotation |
is listed by: OMICtools has parent organization: Georgia State University; Georgia; USA |
NSF IIS-0546457; NSF IIS-0916401; NSF IIS-0916948 |
PMID:23202426 | OMICS_01273 | SCR_004351 | Discovery and Reconstruction of Unannotated Transcripts | 2026-02-14 02:00:57 | 0 | ||||||
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DigiMorph Resource Report Resource Website 50+ mentions |
DigiMorph (RRID:SCR_004416) | DigiMorph | data or information resource, image, video resource, narrative resource, training material, database | A dynamic archive of information on digital morphology and high-resolution X-ray computed tomography of biological specimens serving imagery for more than 750 specimens contributed by almost 150 collaborating researchers from the world''s premiere natural history museums and universities. Browse through the site and see spectacular imagery and animations and details on the morphology of many representatives of the Earth''s biota. Digital Morphology, part of the National Science Foundation Digital Libraries Initiative, develops and serves unique 2D and 3D visualizations of the internal and external structure of living and extinct vertebrates, and a growing number of ''invertebrates.'' The Digital Morphology library contains nearly a terabyte of imagery of natural history specimens that are important to education and central to ongoing cutting-edge research efforts. Digital Morphology visualizations are now in use in classrooms and research labs around the world and can be seen in a growing number of museum exhibition halls. The Digital Morphology site currently presents: * QuickTime animations of complete stacks of serial CT sections * Animated 3D volumetric movies of complete specimens * Stereolithography (STL) files of 3D objects that can be viewed interactively and rapidly prototyped into scalable physical 3D objects that can be handled and studied as if they were the original specimens * Informative introductions to the scanned organisms, often written by world authorities * Pertinent bibliographic information on each specimen * Useful links * A course resource for our ''Digital Methods for Paleontology'' course, in which students learn how to generate all of the types of imagery displayed on the Digital Morphology site | image archive, x-ray computed tomographic scanner, x-ray computed tomography, scientific name, common name, cladogram, dinosaur, tapir, horned lizard, endocast, bat, primate, FASEB list | has parent organization: University of Texas at Austin; Texas; USA | NSF | The images may be used for the personal education of website visitors. Any commercial reproduction, Redistribution, Publication, Or other use of the website content, By electronic means or otherwise, Is prohibited unless pursuant to a written agreement signed by the copyright holder. | nlx_143746, r3d100011511 | https://doi.org/10.17616/R3TD0C | SCR_004416 | Digital Morphology library, Digital Morphology | 2026-02-14 02:00:58 | 74 | |||||
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Catalog of Fishes Resource Report Resource Website |
Catalog of Fishes (RRID:SCR_004408) | CASGEN, CASSPC, CASREF, | bibliography, data or information resource, book, narrative resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. The Catalog of Fishes is the authoritative reference for taxonomic fish names, featuring a searchable on-line database. The Catalog of Fishes covers more than 53,000 species and subspecies, over 10,000 genera and subgenera, and includes in excess of 16,000 bibliographic references. The Catalog of Fishes consists of three hardbound volumes of 900-1000 pages each, along with a CD-ROM. The online database is updated about every 8 weeks and is now about twice the size of the published version. It is one of the oldest and most complete databases for any large animal group. References are over 30,000. Valid species are over 30,000. This work is an essential reference for taxonomists, scientific historians, and for any specialist dealing with fishes. Entries for species, for example, consist of species/subspecies name, genus, author, date, publication, pages, figures, type locality, location of type specimen(s), current status (with references), family/subfamily, and important publication, taxonomic, or nomenclatural notes. Nearly all original descriptions have been examined, and much effort has gone into determining the location of type specimens. The Genera are updated from Eschmeyer''s 1990 Genera of Recent Fishes. Both genera and species are listed in a classification using recent taxonomic schemes. Also included are a lengthy list of museum acronyms, an interpretation of the International Code of Zoological Nomenclature, and Opinions of the International Commission involving fishes. | genus, species, reference, publication |
is related to: Teleost Taxonomy Ontology is related to: Phenoscape Knowledgebase has parent organization: California Academy of Sciences |
NSF ; Alfred P. Sloan Foundation |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_41737 | SCR_004408 | Catalog of Fishes database | 2026-02-14 02:00:40 | 0 | ||||||
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PGN Resource Report Resource Website |
PGN (RRID:SCR_004559) | PGN | data repository, storage service resource, data analysis service, analysis service resource, data set, data or information resource, production service resource, service resource, database | Resource for the storage, retrieval and annotation of plant ESTs, with a focus on comparative genomics. PGN comprises an analysis pipeline and a website, and presently contains mainly data from the Floral Genome Project. However, it accepts submission from other sources. All data in PGN is directly derived from chromatograms and all original and intermediate data are stored in the database. The current datasets on PGN come from the floral genome project and includes the following species: Acorus americanus, Amborella trichopoda, Asparagus officinalis, Cucumis sativus, Eschscholzia californica, Eschscholzia californica, Illicium parviflorum, Ipomopsis aggregata, Liriodendron tulipifera, Mesembryanthemum crystallinum, Mimulus guttatus, Nuphar advena, Papaver somniferum, Persea americana, Prymnesium parvum, Ribes americanum, Saruma henryi, Stenogyne rugosa, Vaccinium corymbosa, Welwitschia mirabilis, Yucca filamentosa, Zamia fischeri. For functional annotation, blast is used to compare find the best match of each unigene sequence to in the Genbank NR database, and the in complete coding sequences from Arabidopsis. These annotations are stored in the database and serve as the primary source of annotation. The annotation framework will be extended to Gene Ontology annotations in the future. | expressed sequence tag, genomics, functional annotation, blast, sequencing, chromatogram | has parent organization: Cornell University; New York; USA | NSF DBI-9872617; NSF DBI-0115684 |
nlx_55223 | SCR_004559 | PGN - Plant Genome Network, Plant Genome Network | 2026-02-14 02:00:58 | 0 | |||||||
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Protein Data Bank Markup Language Resource Report Resource Website 1+ mentions |
Protein Data Bank Markup Language (RRID:SCR_005085) | PDBML | data or information resource, interchange format, markup language, narrative resource, standard specification | Markup Language that provides a representation of PDB data in XML format. The description of this format is provided in XML schema of the PDB Exchange Data Dictionary. This schema is produced by direct translation of the mmCIF format PDB Exchange Data Dictionary Other data dictionaries used by the PDB have been electronically translated into XML/XSD schemas and these are also presented in the list below. * PDBML data files are provided in three forms: ** fully marked-up files, ** files without atom records ** files with a more space efficient encoding of atom records * Data files in PDBML format can be downloaded from the RCSB PDB website or by ftp. * Software tools for manipulating PDB data in XML format are available. | xml |
is related to: RCSB PDB Software Tools has parent organization: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) |
NSF ; NIGMS ; DOE ; NLM ; NCI ; NCRR ; NIBIB ; NINDS |
PMID:15509603 | nlx_144096 | SCR_005085 | PDBML: Protein Data Bank Markup Language | 2026-02-14 02:01:03 | 2 | ||||||
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OpenNeuro Resource Report Resource Website 100+ mentions |
OpenNeuro (RRID:SCR_005031) | OpenNeuro, OpenfMRI | data repository, storage service resource, data or information resource, service resource, image repository, database | Open platform for analyzing and sharing neuroimaging data from human brain imaging research studies. Brain Imaging Data Structure ( BIDS) compliant database. Formerly known as OpenfMRI. Data archives to hold magnetic resonance imaging data. Platform for sharing MRI, MEG, EEG, iEEG, and ECoG data. | neuroinformatics, database, storing, dataset, neuroimaging, data, MRI, MEG, EEG, iEEG, ECoG, FASEB list |
uses: Brain Imaging Data Structure (BIDs) uses: HED Tags is used by: studyforrest.org is used by: DataLad is used by: NIF Data Federation is used by: Integrated Datasets is used by: NIH Heal Project is used by: Baby Open Brains is recommended by: National Library of Medicine is recommended by: BRAIN Initiative is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: re3data.org is listed by: DataCite is listed by: FAIRsharing is affiliated with: NEMAR is related to: Integrated Manually Extracted Annotation has parent organization: Stanford University; Stanford; California has parent organization: Stanford Center for Reproducible Neuroscience has parent organization: BRAIN Initiative is provided by: OpenNeuro |
NSF OCI1131441; NIDA ; Laura and John Arnold Foundation ; Stanford ; Squishymedia ; BRAIN Initiative ; NIMH |
Free, Freely available | DOI:10.25504/FAIRsharing.s1r9bw, r3d100010924, nlx_144048, DOI:10.17616/R33047, DOI:10.18112 | http://www.nitrc.org/projects/openfmri https://github.com/OpenNeuroDatasets https://doi.org/10.17616/R33047 https://doi.org/10.17616/r33047 https://doi.org/10.18112/ https://dx.doi.org/10.18112/ https://fairsharing.org/10.25504/FAIRsharing.s1r9bw https://doi.org/10.17616/R33047 |
http://openfmri.org | SCR_005031 | OpenfMRI, Open fMRI, OpenNeuro | 2026-02-14 02:00:50 | 247 | ||||
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Sal-Site Resource Report Resource Website 50+ mentions |
Sal-Site (RRID:SCR_002850) | Sal-Site | data analysis service, organism-related portal, image collection, portal, analysis service resource, data or information resource, production service resource, service resource, topical portal, database | 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 | 2026-02-14 02:00:33 | 92 | ||||
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Magnaporthe comparative Database Resource Report Resource Website 10+ mentions |
Magnaporthe comparative Database (RRID:SCR_003079) | Broad MGG | data analysis service, analysis service resource, data or information resource, production service resource, service resource, database | The Magnaporthe comparative genomics database provides accesses to multiple fungal genomes from the Magnaporthaceae family to facilitate the comparative analysis. As part of the Broad Fungal Genome Initiative, the Magnaporthe comparative project includes the finished M. oryzae (formerly M. grisea) genome, as well as the draft assemblies of Gaeumannomyces graminis var. tritici and M. poae. It provides users the tools to BLAST search, browse genome regions (to retrieve DNA, find clones, and graphically view sequence regions), and provides gene indexes and genome statistics. We were funded to attempt 7x sequence coverage comprising paired end reads from plasmids, Fosmids and BACs. Our strategy involves Whole Genome Shotgun (WGS) sequencing, in which sequence from the entire genome is generated and reassembled. Our specific aims are as follows: 1. Generate and assemble sequence reads yielding 7X coverage of the Magnaporthe oryzae genome through whole genome shotgun sequencing. 2. Generate and incorporate BAC and Fosmid end sequences into the genome assembly to provide a paired-end of average every 2 kb. 3. Integrate the genome sequence with existing physical and genetic map information. 4. Perform automated annotation of the sequence assembly. 5. Distribute the sequence assembly and results of our annotation and analysis through a freely accessible, public web server and by deposition of the sequence assembly in GenBank. | genome, gene, sequencing, magnaporthe, m. grisea genome, m. oryzae |
has parent organization: Broad Institute has parent organization: Harvard University; Cambridge; United States has parent organization: Massachusetts Institute of Technology; Massachusetts; USA; |
USDA ; NSF |
Free, Freely available | nif-0000-03095 | http://www.broad.mit.edu/annotation/genome/magnaporthe_grisea/Home.html | SCR_003079 | M. oryzae Database, Magnaporthe comparative genomics database | 2026-02-14 02:00:39 | 10 | |||||
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studyforrest.org Resource Report Resource Website 10+ mentions |
studyforrest.org (RRID:SCR_003112) | studyforrest.org | image repository, data repository, storage service resource, service resource | An MRI data repository that holds a set of 7 Tesla images and behavioral metadata. Multi-faceted brain image archive with behavioral measurements. For each participant a number of different scans and auxiliary recordings have been obtained. In addition, several types of minimally preprocessed data are also provided. The full description of the data release is available in a dedicated publication. This project invites anyone to participate in a decentralized effort to explore the opportunities of open science in neuroimaging by documenting how much (scientific) value can be generated out of a single data release by publication of scientific findings derived from a dataset, algorithms and methods evaluated on this dataset, and/or extensions of this dataset by acquisition and integration of new data. | neuroimaging, open data, brain, brain scan, fmri, stimulus material, participant demographic, stimulus, demographic, experimental protocol, structure mri, mri, 7-tesla, data set, auditory system, language, perception |
uses: OpenNeuro uses: rsync uses: XNAT - The Extensible Neuroimaging Archive Toolkit is used by: NIF Data Federation is listed by: NITRC-IR is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Otto-von-Guericke University Magdeburg; Saxony-Anhalt; Germany |
BMBF 01GQ1112; BMBF 01GQ1411; NSF 1129855; DFG PO 548/15-1 |
Free, Available for download, Freely available | r3d100011071, nlx_156710 | http://www.nitrc.org/projects/studyforrest https://doi.org/10.17616/R3SW5S |
SCR_003112 | study forrest, studyforrest | 2026-02-14 02:00:39 | 34 | |||||
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Brain Operation Database Resource Report Resource Website |
Brain Operation Database (RRID:SCR_003050) | BODB | data or information resource, storage service resource, database, service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 4, 2023. BODB offers a way to document computational models of brain function by linking each model to Brain Operating Principles (BOPs), related brain regions, Summaries of Simulation Results (SSRs)and Summaries of Experimental Data (SEDs) used either to design or to test the model. Tools are provided to search for related models and to compare their coverage of SEDs. This allows automatic benchmarking of a model against a cluster of models addressing similar BOPs or SEDs or brain regions. Tools allow display of brain imaging results against a human brain applet; a new tool will link data to a macaque brain applet. | model, brain operating principle, summary of experimental data, summary of simulation results, neural networks, mirror neuron, action, vision, language, usc brain project |
has parent organization: University of Southern California; Los Angeles; USA is parent organization of: Model: Hebbian Mirror Neuron System (H-MNS) (Keysers - Perrett) |
NSF 0924674 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03080 | http://bodb.usc.edu | SCR_003050 | BODB (Brain Operation DataBase) | 2026-02-14 02:00:38 | 0 | |||||
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GOLEM An interactive, graphical gene-ontology visualization, navigation, and analysis tool Resource Report Resource Website 1+ mentions |
GOLEM An interactive, graphical gene-ontology visualization, navigation, and analysis tool (RRID:SCR_003191) | GOLEM | data analysis service, analysis service resource, production service resource, source code, service resource, software resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented July 7, 2017. Welcome to the home of GOLEM: An interactive, graphical gene-ontology visualization, navigation,and analysis tool on the web. GOLEM is a useful tool which allows the viewer to navigate and explore a local portion of the Gene Ontology (GO) hierarchy. Users can also load annotations for various organisms into the ontology in order to search for particular genes, or to limit the display to show only GO terms relevant to a particular organism, or to quickly search for GO terms enriched in a set of query genes. GOLEM is implemented in Java, and is available both for use on the web as an applet, and for download as a JAR package. A brief tutorial on how to use GOLEM is available both online and in the instructions included in the program. We also have a list of links to libraries used to make GOLEM, as well as the various organizations that curate organism annotations to the ontology. GOLEM is available as a .jar package and a macintosh .app for use on- or off- line as a stand-alone package. You will need to have Java (v.1.5 or greater) installed on your system to run GOLEM. Source code (including Eclipse project files) are also available. GOLEM (Gene Ontology Local Exploration Map)is a visualization and analysis tool for focused exploration of the gene ontology graph. GOLEM allows the user to dynamically expand and focus the local graph structure of the gene ontology hierarchy in the neighborhood of any chosen term. It also supports rapid analysis of an input list of genes to find enriched gene ontology terms. The GOLEM application permits the user either to utilize local gene ontology and annotations files in the absence of an Internet connection, or to access the most recent ontology and annotation information from the gene ontology webpage. GOLEM supports global and organism-specific searches by gene ontology term name, gene ontology id and gene name. CONCLUSION: GOLEM is a useful software tool for biologists interested in visualizing the local directed acyclic graph structure of the gene ontology hierarchy and searching for gene ontology terms enriched in genes of interest. It is freely available both as an application and as an applet. | gene ontology, ontology visualization, ontology analysis |
is related to: Gene Ontology has parent organization: Princeton University; New Jersey; USA |
NIGMS R01 GM071966; NSF IIS-0513552; NIGMS P50 GM071508 |
PMID:17032457 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30620 | https://lsi.princeton.edu/golem-interactive-graph-based-gene-ontology-navigation-and-analysis-tool | SCR_003191 | GOLEM An interactive graphical gene-ontology visualization navigation and analysis tool, GOLEM An interactive graphical gene-ontology visualization navigation analysis tool | 2026-02-14 02:00:42 | 3 | ||||
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MorphoBank Resource Report Resource Website 100+ mentions |
MorphoBank (RRID:SCR_003213) | MorphoBank | data or information resource, database | Web application providing online database and workspace for evolutionary research, specifically systematics (the science of determining the evolutionary relationships among species). It enables researchers to upload images and affiliate data with those images (labels, species names, etc.) and allows researchers to upload morphological data and affiliate it with phylogenetic matrices. MorphoBank is project-based, meaning a team of researchers can create a project and share the images and associated data exclusively with each other. When a paper associated with the project is published, the research team can make their data permanently available for view on MorphoBank where it is now archived. | phenotype, web service, phylogenetics, cladistics, histology, neurology, taxonomy, image, phylogeny, cladistic analysis, morphology, anatomy, evolution, homology, systems biology, FASEB list |
is listed by: re3data.org is listed by: DataCite is listed by: FAIRsharing has parent organization: Stony Brook University; New York; USA |
NSF ; NOAA NA04OAR4700191 |
PMID:34875801 | Free, Freely available | DOI:10.25504/FAIRsharing.1y63n8, DOI:10.17616/R3PC7F, DOI:10.7934, nlx_156938, r3d100010786 | https://doi.org/10.17616/R3PC7F https://doi.org/10.17616/r3pc7f https://doi.org/10.7934/ https://dx.doi.org/10.7934/ https://fairsharing.org/10.25504/FAIRsharing.1y63n8 https://doi.org/10.17616/R3MK88 |
SCR_003213 | 2026-02-14 02:00:30 | 113 | |||||
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PIRSF Resource Report Resource Website 10+ mentions |
PIRSF (RRID:SCR_003352) | PIRSF | data or information resource, narrative resource, database, standard specification | A SuperFamily classification system, with rules for functional site and protein name, to facilitate the sensible propagation and standardization of protein annotation and the systematic detection of annotation errors. The PIRSF concept is being used as a guiding principle to provide comprehensive and non-overlapping clustering of UniProtKB sequences into a hierarchical order to reflect their evolutionary relationships. The PIRSF classification system is based on whole proteins rather than on the component domains; therefore, it allows annotation of generic biochemical and specific biological functions, as well as classification of proteins without well-defined domains. There are different PIRSF classification levels. The primary level is the homeomorphic family, whose members are both homologous (evolved from a common ancestor) and homeomorphic (sharing full-length sequence similarity and a common domain architecture). At a lower level are the subfamilies which are clusters representing functional specialization and/or domain architecture variation within the family. Above the homeomorphic level there may be parent superfamilies that connect distantly related families and orphan proteins based on common domains. Because proteins can belong to more than one domain superfamily, the PIRSF structure is formally a network. The FTP site provides free download for PIRSF. | protein annotation, classification, protein, superfamily, functional site, protein name, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: UniProtKB has parent organization: Protein Information Resource |
NHGRI U01-HG02712; NSF DBI-0138188; NSF ITR-0205470 |
PMID:19455212 PMID:14681371 |
Free, Freely available | biotools:pirsf, nif-0000-03294, OMICS_01697 | https://bio.tools/pirsf | http://pir.georgetown.edu/pirsf/ | SCR_003352 | PIR SuperFamily, Protein Information Resource SuperFamily | 2026-02-14 02:00:46 | 28 | |||
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MouseNET Resource Report Resource Website 1+ mentions |
MouseNET (RRID:SCR_003357) | mouseNet | data analysis service, analysis service resource, data or information resource, production service resource, service resource, database | 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 | 2026-02-14 02:00:47 | 3 | |||||
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Statistics Online Computational Resource Resource Report Resource Website 10+ mentions |
Statistics Online Computational Resource (RRID:SCR_003378) | SOCR | data or information resource, software toolkit, software application, software resource, narrative resource, training material | 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 | 2026-02-14 02:00:47 | 13 |
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