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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Neotoma Paleoecology Database Resource Report Resource Website 10+ mentions |
Neotoma Paleoecology Database (RRID:SCR_002190) | Neotoma | analysis service resource, data analysis service, data or information resource, data repository, database, production service resource, service resource, storage service resource | Paleoecology database for plio-pleistocene to holocene fossil data with a centralized structure for interdisciplinary, multiproxy analyses and common tool development; discipline-specific data can also be easily accessed. Data currently include North American Pollen (NAPD) and fossil mammals (FAUNMAP). Other proxies (plant macrofossils, beetles, ostracodes, diatoms, etc.) and geographic areas (Europe, Latin America, etc.) will be added in the near future. Data are derived from sites from the last 5 million years. | data sharing, paleoecology, plio-pleistocene, holocene, fossil |
is listed by: CINERGI has parent organization: Pennsylvania State University |
NSF | Free, Available for download, Freely available | nlx_154700, r3d100011761 | SCR_002190 | NeotomaDB, Neotoma DB | 2026-08-29 11:21:00 | 38 | ||||||
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GASV Resource Report Resource Website 1+ mentions |
GASV (RRID:SCR_000061) | GASV | data analysis software, data processing software, software application, software resource | 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 |
ADVANCE Program at Brown University ; Burroughs Wellcome Fund ; Department of Defense Breast Cancer Research ; 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 | 2026-08-29 11:20:19 | 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 | 2026-08-29 11:20:27 | 6 | ||||||
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GREAT: Genomic Regions Enrichment of Annotations Tool Resource Report Resource Website 50+ mentions |
GREAT: Genomic Regions Enrichment of Annotations Tool (RRID:SCR_005807) | GREAT | analysis service resource, data analysis service, production service resource, service resource, software resource, source code | Data analysis service that predicts functions of cis-regulatory regions identified by localized measurements of DNA binding events across an entire genome. Whereas previous methods took into account only binding proximal to genes, GREAT is able to properly incorporate distal binding sites and control for false positives using a binomial test over the input genomic regions. GREAT incorporates annotations from 20 ontologies and is available as a web application. The utility of GREAT extends to data generated for transcription-associated factors, open chromatin, localized epigenomic markers and similar functional data sets, and comparative genomics sets. Platform: Online tool | term enrichment, cis-regulatory region, function, gene, genomic, annotation, ontology, chromatin immunoprecipitation, sequencing, chip-seq, comparative genomics, transcription factor binding |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: PRISM (Stanford database) is related to: Gene Ontology has parent organization: Stanford University School of Medicine; California; USA |
Bio-X ; Howard Hughes Medical Institute ; Stanford University; California; USA ; Packard ; Searle Scholar ; Microsoft Research ; Alfred P. Sloan Foundation ; Edward Mallinckrodt Jr. Foundation ; NIH ; Human Frontier Science Program fellowship LT000896/2009-l; NICHD 1R01HD059862; NHGRI R01HG005058; NSF CCF-0939370; DFG Hi 1423/2-1 |
PMID:20436461 PMID:23814184 |
Free for academic use, Acknowledgement requested | nlx_149295, OMICS_00635 | SCR_005807 | Genomic Regions Enrichment of Annotations Tool (GREAT), Genomic Regions Enrichment of Annotations Tool | 2026-08-29 11:22:24 | 89 | |||||
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UM-BBD Resource Report Resource Website 1+ mentions |
UM-BBD (RRID:SCR_005787) | UM-BBD, UM-BBD enzymeID, UM-BBD pathwayID, UM-BBD reactionID, UM-BBD ruleID | analysis service resource, data analysis service, data or information resource, data set, database, production service resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 27, 2014. Database containing information on microbial biocatalytic reactions and biodegradation pathways for primarily xenobiotic, chemical compounds. Its goal is to provide information on microbial enzyme-catalyzed reactions that are important for biotechnology. The reactions covered are studied for basic understanding of nature, biocatalysis leading to specialty chemical manufacture, and biodegradation of environmental pollutants. Individual reactions and metabolic pathways are presented with information on the starting and intermediate chemical compounds, the organisms that transform the compounds, the enzymes, and the genes. The present database has been successfully used to teach enzymology and use of biochemical Internet information resources to advanced undergraduate and graduate students, and is being expanded primarily with the help of such students. In addition to reactions and pathways, this database also contains Biochemical Periodic Tables and a Pathway Prediction System. * Search the UM-BBD for compound, enzyme, microorganism, pathway, or BT rule name; chemical formula; chemical structure; CAS Registry Number; or EC code. * Go to Pathways and Metapathways in the UM-BBD * Lists of 203 pathways; 1400 reactions; 1296 compounds; 916 enzymes; 510 microorganism entries; 245 biotransformation rules; 50 organic functional groups; 76 reactions of naphthalene 1,2-dioxygenase; 109 reactions of toluene dioxygenase; Graphical UM-BBD Overview; and Other Graphics (Metapathway and Pathway Maps and Reaction Mechanisms). | enzyme, biocatalysis, biodegredation, chemical, pathway, reaction, microorganism, image, chemical compound, gene, enzymology | has parent organization: University of Minnesota Twin Cities; Minnesota; USA | Minnesota Supercomputing Institute ; Lhasa Limited ; University of Minnesota; Minnesota; USA ; European Union FP6 ALARM project ; NIH ; NSF 0543416; DOE DE-FG02-01ER63268; NIGMS R01GM56529; NSF 9630427 |
PMID:19767608 PMID:16381924 PMID:12519997 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03607, r3d100011317 | https://doi.org/10.17616/R33D0V | SCR_005787 | UM-BBD pathwayID, University of Minnesota Biocatalysis and Biodegradation Database, UM-BBD reactionID, Biocatalysis/Biodegradation Database, University of Minnesota Biocatalysis/Biodegradation Database, UM-BBD ruleID, Univeristy of Minnesota Biocatalysis/Biodegradation Database, UM-BBD enzymeID | 2026-08-29 11:22:26 | 9 | ||||
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UCSC Genome Browser Resource Report Resource Website 10000+ mentions Rating or validation data |
UCSC Genome Browser (RRID:SCR_005780) | data or information resource, database, portal, project portal, service resource | Portal to interactively visualize genomic data. Provides reference sequences and working draft assemblies for collection of genomes and access to ENCODE and Neanderthal projects. Includes collection of vertebrate and model organism assemblies and annotations, along with suite of tools for viewing, analyzing and downloading data. | Reference, sequence, assembly, collection, genome, visualize, genomic, data, ENCODE, Neanderthal, project, sequencing |
is used by: VizHub is used by: Blueprint Epigenome is used by: QmRLFS-finder is used by: International Human Epigenome Consortium Data Portal is used by: iPiG is listed by: re3data.org is listed by: OMICtools is listed by: Educational Resources in Neuroscience is listed by: SoftCite is related to: HEXEvent is related to: PicTar is related to: Phenotree is related to: Enhancer Trap Line Browser is related to: CistromeFinder is related to: ENCODE is related to: Human Epigenome Atlas is related to: ENCODE is related to: BigWig and BigBed is related to: PhenCode is related to: doRiNA is related to: ISCA Consortium is related to: WashU Epigenome Browser is related to: CRISPOR is related to: liftOver is related to: kent has parent organization: University of California at Santa Cruz; California; USA works with: TarBase works with: bedGraphToBigWig |
Alfred P. Sloan Foundation ; CISI ; David and Lucille Packard Foundation ; DOE ; HHMI ; NHGRI ; NIGMS GM52848; NIH ; NSF DBI 9809007; UC BIOTEuropean UnionH |
PMID:12045153 PMID:22908213 PMID:23155063 |
OMICS_00926, SCR_017502, nif-0000-03603, SciEx_217, SCR_012479, r3d100010243 | http://genome.cse.ucsc.edu, https://doi.org/10.17616/R3RK5C | SCR_005780 | The Human Genome Browser at UCSC, UCSC Genome Browser Group, University of California at Santa Cruz Genome Browser, UCSC Genome Bioinformatics | 2026-08-29 11:22:26 | 11041 | ||||||
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OMGN Resource Report Resource Website |
OMGN (RRID:SCR_005781) | OMGN | community building portal, data or information resource, portal, training resource | The Oomycete Molecular Genetics Research Collaboration Network (OMGN) is a network for research collaboration for investigators interested in oomycete molecular genetics and genomics. The goals of the OMGN is to facilitate the integration of these investigators into the community and to further strengthen the cooperative culture of this community. A particular emphasis is placed on training and integrating junior faculty and faculty from institutions under-represented in the U.S. research infrastructure. Because of their economic impact as plant pathogens, molecular, genetic and genomics studies are well advanced in many oomycete species. These organisms have served as lead species for the entire Stramenopiles lineage, a major radiation of crown eukaryotes, distinct from plants, animals and fungi. The oomycete molecular genetics community has a strong culture of collaboration and communication, and sharing of techniques and resources. With the recent blossoming of genetic and genomic tools for oomycetes, many new investigators, from a variety of backgrounds, have become interested in oomycete molecular genetics and genomics. The proposed network is open to all researchers with an interest in oomycete molecular genetics and genomics, either at an experimental or a computational level. Investigators new to the field are always welcome, especially those interested in saprophytes and animal pathogens. Goals of OMGN # Provide training to o��mycete molecular genetics researchers, especially those from smaller institutions, in the use of bioinformatics and genomics resources. # Promote the entry, participation and training of new investigators into the field of o��mycete genomics, particularly junior faculty and faculty from institutions under-represented in the U.S. research infrastructure. # Promote communication and collaboration, and minimize duplication of effort, within the worldwide o��mycete genomics community. # Support an O��mycete Genomics Resources Center to maintain and distribute training and research materials produced by community genomics projects. The network''s activities have been supported by two grants from the NSF Research Collaboration Networks in Biology program. | oomycete, molecular genetics, genomics, saprophyte, animal, pathogen, stramenopile | has parent organization: Virginia Polytechnic Institute and State University; Virginia; USA | NSF EF 0130263 | nlx_149251 | SCR_005781 | OMGN - Oomycete Molecular Genetics Research Collaboration Network, Oomycete Molecular Genetics Research Collaboration Network | 2026-08-29 11:22:24 | 0 | |||||||
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Viking Viewer for Connectomics Resource Report Resource Website 10+ mentions |
Viking Viewer for Connectomics (RRID:SCR_005986) | collaboration tool, data management software, data processing software, software application, software resource | A web-compliant application that allows connectomics visualization by converting datasets to web-optimized tiles, delivering volume transforms to client devices, and providing groups of users with connectome annotation tools and data simultaneously via conventional internet connections. Viking is an extensible tool for connectomics analysis and is generalizable to histomics applications. | annotation, 2d image, microscopy image, volume, serial section, 3d reconstruction, segmentation, microscopy, visualization, optical imaging, connectomics, synapse, retina, brain |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: 3DVC has parent organization: University of Utah; Utah; USA |
Research to Prevent Blindness ; University of Utah; Utah; USA ; Graduate Research Fellowship ; Utah Science Technology and Research Initiative ; NEI R01 EY02576; NEI R01 EY015128; NEI P01 EY014800; NSF 0941717; NIDCD T32DC008553; NIBIB EB005832 |
PMID:21118201 | Open source | nlx_151360 | http://www.nitrc.org/projects/viking_viewer | SCR_005986 | Viking, Viking Connectome Annotation System, Viking Annotation System | 2026-08-29 11:22:31 | 16 | |||||
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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 | 2026-08-29 11:22:34 | 3544 | |||||
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Guppy Project Resource Report Resource Website 1+ mentions |
Guppy Project (RRID:SCR_006255) | Guppy Project | data or information resource, organism-related portal, portal, topical portal, video resource | A project that observes the processes of adaptive evolution in nature, and tests evolutionary hypotheses, by studying populations of guppies on the Caribbean island of Trinidad. Darwin thought that evolution by natural selection occurred very slowly, over hundreds if not thousands of years. Evolutionary biologists now know that evolutionary changes in species can happen very quickly, over a relatively few generations. The National Science Foundation (NSF), through its Integrative Biological Research (FIBR) program, is funding a 5-year study by 13 biologists from colleges, universities, and research institutions throughout the United States and Canada, to study the relationship of adaptive evolution and environmental circumstances. The Trinidadian guppy (Poecilia reticulata) is an excellent species for these purposes because: * It matures rapidly (one generation = 3-4 months) * It inhabits different ecological environments that can be easily manipulated On Trinidad, guppies live in streams, or portions of streams, that can differ in the species of predators that the guppies have to contend with. Some streams are high-predation environments, others low-predation. Different predation environments are often right next to one another, separated by a waterfall (which neither guppies nor predators can cross). Guppies from high-predation environments experience much higher mortality rates than do guppies in low-predation environments. High mortality is associated with the following characteristics, all of which have a genetic basis: * Earlier maturity * Greater investment of resources in reproduction * More and smaller offspring. We have found that mortality rates can be manipulated by: * Transplanting guppies from high-predation localities into sites from which they and their predators had previously been excluded by natural waterfalls, thus lowering mortality rates; * Introducing predators into low-predation sites, thus increasing mortality rates. Such experiments have shown that species evolve as predicted by theory. We have also found that evolution by natural selection can be remarkably fast, on the order of four to seven orders of magnitude faster than had been inferred from the fossil record. | adaption, evolution, adaptive evolution, environment, trinidadian guppy, poecilia reticulata, image, natural selection | has parent organization: University of California at Riverside; California; USA | NSF | nlx_151840 | SCR_006255 | 2026-08-29 11:22:34 | 6 | ||||||||
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crowdLabs Resource Report Resource Website 1+ mentions |
crowdLabs (RRID:SCR_006294) | crowdLabs | analysis service resource, community building portal, data analysis service, data or information resource, portal, production service resource, service resource, storage service resource | A social visualization repository for the scientific workflow management system VisTrails providing a platform for sharing and executing computational tasks. It adopts the model used by social Web sites and that integrates a set of usable tools and a scalable infrastructure to provide an environment for scientists to collaboratively analyze and visualize data. crowdLabs aims to foster collaboration but was specifically designed to support the needs of computational scientists, including the ability to access high-performance computers and manipulate large volumes of data. By providing mechanisms that simplify the publishing and use of analysis pipelines, it allows IT personnel and end users to collaboratively construct and refine portals. This lowers the barriers for the use of scientific analyses and enables broader audiences to contribute insights to the scientific exploration process, without the high costs incurred by traditional portals. In addition, it supports a more dynamic environment where new exploratory analyses can be added on-the-fly. | platform, computation, data sharing |
is listed by: FORCE11 is related to: VisTrails |
NSF | nif-0000-06716 | http://www.force11.org/node/4666 | SCR_006294 | crowd Labs | 2026-08-29 11:22:35 | 1 | ||||||
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Plant Ontology Resource Report Resource Website 10+ mentions |
Plant Ontology (RRID:SCR_006494) | PO | controlled vocabulary, data or information resource, database, ontology | Ontology and database that links plant anatomy, morphology and growth and development to plant genomics data.Plant Ontology Consortium develops, curates and shares controlled vocabularies (ontologies) that describe plant structures and growth and developmental stages, providing semantic framework for meaningful cross species queries across databases. PO is under active development to expand to encompass terms and annotations from all plants. | obo, gene, development, anatomy, morphology, growth, genomics, database |
has parent organization: Oregon State University; Oregon; USA has parent organization: Cornell University; New York; USA |
NSF 0321685; NSF 0822201 |
PMID:18628842 PMID:18194960 |
SCR_006844, nlx_55564 | SCR_006494 | Plant Ontology Browser, PO Browser, Plant Ontology Consortium Database, PO Database, Plant Ontology Database, POC Database | 2026-08-29 11:22:41 | 32 | ||||||
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Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) Resource Report Resource Website 10000+ mentions |
Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) (RRID:SCR_012820) | RCSB PDB | data or information resource, data repository, database, service resource, storage service resource | Collection of structural data of biological macromolecules. Database of information about 3D structures of large biological molecules, including proteins and nucleic acids. Users can perform queries on data and analyze and visualize results. | 3-dimensional, annotation, molecule, nucleic acid, protein, visualization, sequence, function, macromolecule, ligand, model, dna, x-ray crystallography, ribosome, structure, oncogene, nucleic acids, molecular structure, cryomicroscopy, gold standard, FASEB list |
is used by: Structural Genomics Consortium is used by: Ligand Expo is used by: DARC - Database for Aligned Ribosomal Complexes is used by: FireDB is used by: Protein Data Bank Bind Database is used by: Protein Data Bank Site is used by: NIF Data Federation is used by: ChannelPedia is used by: MobiDB is used by: BALBES is used by: Structural Antibody Database is used by: BioLiP is recommended by: NIDDK Information Network (dkNET) is recommended by: National Library of Medicine is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: re3data.org is affiliated with: EMDataResource.org is affiliated with: ConSurf Database is related to: pdb-data is related to: PDB2MultiGif is related to: GlyProt is related to: pdb-care is related to: pdb2linucs is related to: GlyVicinity is related to: GlyTorsion is related to: GlySeq is related to: AffinDB is related to: StatAlign is related to: Community Structure-Activity Resource is related to: Binding MOAD is related to: ConSurf Database is related to: glycosciences.de is related to: DOMINE: Database of Protein Interactions is related to: Jenalib: Jena Library of Biological Macromolecules is related to: SynSysNet is related to: EMDataResource.org is related to: PDBe - Protein Data Bank in Europe is related to: TFinDIT is related to: HOLLOW is related to: ccPDB - Compilation and Creation of datasets from PDB is related to: DOMMINO - Database Of MacroMolecular INteractiOns is related to: InterEvol database is related to: Polbase is related to: PoSSuM is related to: ProtChemSI is related to: RNA CoSSMos is related to: PDBsum is related to: Worldwide Protein Data Bank (wwPDB) is related to: canSAR is related to: CAPS Database is related to: Dockground: Benchmarks, Docoys, Templates, and other knowledge resources for DOCKING is related to: Combinatorial Extension (CE) is related to: Metalloprotein Site Database is related to: PDBj - Protein Data Bank Japan is related to: Statistical Torsional Angles Potentials of NMR Refinement Database is related to: Metalloprotein Ligand Interaction Database is related to: CARP is related to: PDBTM is related to: RNA FRABASE - RNA FRAgments search engine and dataBASE is related to: AmiGO is related to: ConsensusPathDB is related to: Biological Magnetic Resonance Data Bank (BMRB) is related to: DNA DataBank of Japan (DDBJ) is related to: FlyMine is related to: NCBI Protein Database is related to: NCBI Nucleotide is related to: FunTree is related to: IndelFR - Indel Flanking Region Database is related to: NMR Restraints Grid is related to: Enzyme Structures Database is related to: Electron Microscopy Data Bank at PDBe (MSD-EBI) is related to: Worldwide Protein Data Bank (wwPDB) is related to: DNA DataBank of Japan (DDBJ) is related to: PDBe - Protein Data Bank in Europe is related to: MINAS - Metal Ions in Nucleic AcidS is related to: PDBj - Protein Data Bank Japan has parent organization: University of California at San Diego; California; USA has parent organization: Rutgers University; New Jersey; USA is parent organization of: RCSB PDB Software Tools is parent organization of: Protein Data Bank Markup Language is parent organization of: Ligand Expo works with: CellPhoneDB |
DOE ; NIH ; NSF DBI-1338415 |
PMID:12037327 | Public, Acknowledgement requested | nif-0000-00135, SCR_017379, r3d100010327 | http://www.rcsb.org, http://www.pdb.org, | http://www.rcsb.org/pdb/ | SCR_012820 | RCSB, Research Collaboratory for Structural Bioinformatics Protein Data Bank, The Protein Data Bank, PDB, Protein Databank, RCSB Protein Data Bank, Protein Data Bank | 2026-08-29 11:24:22 | 12459 | |||
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GRASSIUS Resource Report Resource Website 10+ mentions |
GRASSIUS (RRID:SCR_012999) | GRASSIUS | analysis service resource, data analysis service, data or information resource, data repository, database, production service resource, service resource, storage service resource | A public resource composed of a collection of databases, computational and experimental resources that relate to the control of gene expression in the grasses, and their relationship with agronomic traits. As knowledge on the interactions of transcription factors (TFs) and cis-regulatory elements in the promoters of the genes that they regulate continues to accumulate, the information is acquired by GRASSIUS, either through contributions by the community, or by literature analysis. The overarching objective of GRASSIUS is to provide a one-stop resource that will facilitate research and communication within the plant community with regards to genome-wide regulation of gene expression processes. | transcription factor, coregulator, promoter sequence, transcription factor orf clone, blast, genome browser |
is listed by: OMICtools has parent organization: Ohio State University; Ohio; USA |
NSF | PMID:18987217 | Free | OMICS_00555 | SCR_012999 | Grass Regulatory Information Server | 2026-08-29 11:24:35 | 32 | |||||
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Yogo Data Management System Resource Report Resource Website |
Yogo Data Management System (RRID:SCR_004239) | software application, software resource, software toolkit, source code | 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 | 2026-08-29 11:21:50 | 0 | ||||||||
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Open Connectome Project Resource Report Resource Website 1+ mentions |
Open Connectome Project (RRID:SCR_004232) | Open Connectome Project | analysis service resource, data access protocol, data analysis service, data or information resource, data repository, data set, image repository, production service resource, service resource, software resource, source code, storage service resource, web service | 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 | 2026-08-29 11:21:50 | 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 | 2026-08-29 11:21:52 | 0 | ||||||
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DigiMorph Resource Report Resource Website 50+ mentions |
DigiMorph (RRID:SCR_004416) | DigiMorph | data or information resource, database, image, narrative resource, training material, video resource | 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 | 2026-08-29 11:22:04 | 78 | |||||
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Catalog of Fishes Resource Report Resource Website |
Catalog of Fishes (RRID:SCR_004408) | CASGEN, CASSPC, CASREF, | bibliography, book, data or information resource, database, narrative resource | 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 | 2026-08-29 11:21:53 | 0 | ||||||
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PGN Resource Report Resource Website |
PGN (RRID:SCR_004559) | PGN | analysis service resource, data analysis service, data or information resource, data repository, data set, database, production service resource, service resource, storage service resource | 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 | 2026-08-29 11:22:07 | 0 |
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