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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Kepler Resource Report Resource Website 10+ mentions |
Kepler (RRID:SCR_005252) | Kepler | data processing software, software application, software resource, workflow software | Kepler is a software application for analyzing and modeling scientific data. Using Kepler''s graphical interface and components, scientists with little background in computer science can create executable models, called scientific workflows, for flexibly accessing scientific data (streaming sensor data, medical and satellite images, simulation output, observational data, etc.) and executing complex analyses on this data. Kepler is developed by a cross-project collaboration led by the Kepler/CORE team. The software builds upon the mature Ptolemy II framework, developed at the University of California, Berkeley. Ptolemy II is a software framework designed for modeling, design, and simulation of concurrent, real-time, embedded systems. The Kepler Project is dedicated to furthering and supporting the capabilities, use, and awareness of the free and open source, scientific workflow application, Kepler. Kepler is designed to help scien��tists, analysts, and computer programmers create, execute, and share models and analyses across a broad range of scientific and engineering disciplines. Kepler can operate on data stored in a variety of formats, locally and over the internet, and is an effective environment for integrating disparate software components, such as merging R scripts with compiled C code, or facilitating remote, distributed execution of models. Using Kepler''s graphical user interface, users simply select and then connect pertinent analytical components and data sources to create a scientific workflowan executable representation of the steps required to generate results. The Kepler software helps users share and reuse data, workflows, and compo��nents developed by the scientific community to address common needs. Kepler is a java-based application that is maintained for the Windows, OSX, and Linux operating systems. The Kepler Project supports the official code-base for Kepler development, as well as provides materials and mechanisms for learning how to use Kepler, sharing experiences with other workflow developers, reporting bugs, suggesting enhancements, etc. The Kepler Project Leadership Team works to assure the long-term technical and financial viability of Kepler by making strategic decisions on behalf of the Kepler user community, as well as providing an official and durable point-of-contact to articulate and represent the interests of the Kepler Project and the Kepler software application. Details about how to get more involved with the Kepler Project can be found in the developer section of this website. | software, workflow |
is listed by: SoftCite is related to: bioKepler has parent organization: University of California at Davis; California; USA has parent organization: University of California at Santa Barbara; California; USA has parent organization: University of California at San Diego; California; USA |
NSF 0722079 | nlx_144278 | SCR_005252 | SciCrunch Registry | Kepler Project | 2026-10-17 01:26:15 | 49 | |||||||
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BioExtract Resource Report Resource Website 10+ mentions |
BioExtract (RRID:SCR_005397) | BioExtract | service resource | An open, web-based system designed to aid researchers in the analysis of genomic data by providing a platform for the creation of bioinformatic workflows. Scientific workflows are created within the system by recording tasks performed by the user. These tasks may include querying multiple, distributed data sources, saving query results as searchable data extracts, and executing local and web-accessible analytic tools. The series of recorded tasks can then be saved as a reproducible, sharable workflow available for subsequent execution with the original or modified inputs and parameter settings. Integrated data resources include interfaces to the National Center for Biotechnology Information (NCBI) nucleotide and protein databases, the European Molecular Biology Laboratory (EMBL-Bank) non-redundant nucleotide database, the Universal Protein Resource (UniProt), and the UniProt Reference Clusters (UniRef) database. The system offers access to numerous preinstalled, curated analytic tools and also provides researchers with the option of selecting computational tools from a large list of web services including the European Molecular Biology Open Software Suite (EMBOSS), BioMoby, and the Kyoto Encyclopedia of Genes and Genomes (KEGG). The system further allows users to integrate local command line tools residing on their own computers through a client-side Java applet. | nucleotide sequence, protein sequence, viridiplantae, viridiplantae protein, nucleotide, sequence, protein, viridiplantae, workflow, software, database, bioinformatics, platform, genome, genomic analysis, analytic tool |
is listed by: OMICtools is listed by: SoftCite is related to: NCBI Nucleotide is related to: NCBI Protein Database is related to: UniProt is related to: UniRef is related to: EMBOSS is related to: BioMoby is related to: KEGG has parent organization: Indiana University; Indiana; USA has parent organization: University of South Dakota; South Dakota; USA |
NSF 0090732; NSF IOS-1126481 |
PMID:21546552 PMID:20865520 PMID:20150665 PMID:20054995 |
OMICS_01138 | SCR_005397 | SciCrunch Registry | BioExtract Server | 2026-10-17 01:26:17 | 12 | ||||||
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bioKepler Resource Report Resource Website 1+ mentions |
bioKepler (RRID:SCR_005385) | bioKepler | software resource | A Comprehensive Bioinformatics Scientific Workflow Module for Distributed Analysis of Large-Scale Biological Data that is distributed on top of the core Kepler scientific workflow system. | module, bioinformatics, workflow, next-generation sequencing |
is listed by: OMICtools is related to: Kepler is related to: Molecular Dynamics Workflow (BioKepler) |
NSF DBI-1062565 | Acknowledgement requested | OMICS_01139 | SCR_005385 | SciCrunch Registry | 2026-10-17 01:26:17 | 2 | |||||||
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VolumeRover Resource Report Resource Website 1+ mentions |
VolumeRover (RRID:SCR_005457) | VolRover | d visualization software, data processing software, image processing software, software application, software resource | VolumeRover (a.k.a VolRover) is an interactive multi-purpose image processing software that can visualize three dimensional imaging data of any size (as big as terabyte) in a commodity PC or workstation and additionally supports the following image processing operations. Image Contrast Enhancement, Filtering/Noise Reduction, Image Segmentation, Isocontouring, Symmetry Detection (for Virus Maps, Boundary-free Image Skeletonization. VolRover provides a user interface to a number of CVC software packages including Segmentation, Contrast Enhancement, and Motif Elucidation. | image | has parent organization: University of Texas at Austin; Texas; USA | NSF CI-9982297; NSF CCR-9988357; NSF 1018140; NIDCD DC00241 |
PMID:14643216 | nlx_144564 | SCR_005457 | SciCrunch Registry | Volume Rover | 2026-10-17 01:26:12 | 2 | ||||||
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Bisque database Resource Report Resource Website 1+ mentions |
Bisque database (RRID:SCR_005559) | Bisque | analysis service resource, data analysis service, data or information resource, data repository, database, image collection, image repository, production service resource, service resource, storage service resource | Open source database for exchange and exploration of biological images. Used to store, visualize, organize and analyze images in cloud. Centered around database of images and metadata. | microscopy, cell, mouse, confocal, medical, biology, hippocampus, macular degeneration, maize, microtubule, plant, retina |
has parent organization: Center for Bio-Image Informatics has parent organization: University of California at Santa Barbara; California; USA |
iPlant Collaborative ; NSF Information Technology Research ; NSF infrastructure awards ; NSF IIS-0808772; NSF ITR-0331697 |
PMID:20031971 | Restricted | SCR_008430, nlx_144652, nif-0000-30205 | http://bisque.ece.ucsb.edu/client_service/ | SCR_005559 | SciCrunch Registry | Bisque Image Repository, Bio-Image Semantic Query User Environment, Bio-Image Semantic Query User Environment database, Bio-Image Semantic Query User Environment Database | 2026-10-17 01:26:19 | 5 | ||||
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CASHX Resource Report Resource Website 1+ mentions |
CASHX (RRID:SCR_005477) | CASHX | software resource | Software pipeline to parse, map, quantify and manage large quantities of sequence data. CASHX is a set of tools that can be used together, or as independent modules on their own. The reference genome alignment tools can be used with any reference sequence in fasta format. The pipeline was designed and tested using Arabidopsis thaliana small RNA reads generated using an Illumina 1G. |
is listed by: OMICtools has parent organization: Oregon State University; Oregon; USA |
NSF MCB-1231726; NIAI AI43288 |
PMID:19307293 | OMICS_00655 | SCR_005477 | SciCrunch Registry | Cache ASsisted Hash Search with Xor logic Pipeline, CASHX Pipeline, Cache ASsisted Hash Search with Xor logic | 2026-10-17 01:26:13 | 4 | |||||||
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GOfetcher Resource Report Resource Website |
GOfetcher (RRID:SCR_005681) | GOfetcher | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 29, 2012. We developed a web application, GOfetcher, with a very comprehensive search facility for the GO project and a variety of output formats for the results. GOfetcher has three different levels for searching the GO: Quick Search, Advanced Search, and Upload Files for searching. The application includes a unique search option which generates gene information given a nucleotide or protein accession number which can then be used in generating gene ontology information. The output data in GOfetcher can be saved into several different formats; including spreadsheet, comma-separated values, and the Extensible Markup Language (XML) format. Platform: Online tool | gene, nucleotide, protein, ontology, ontology or annotation browser |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Southern Mississippi; Mississippi; USA |
NSF EPS-0556308; U.S. Army ; Environmental Quality Program contract #W912HZ-05-P-0145 |
PMID:18728045 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149124 | http://mcbc.usm.edu/gofetcher/ | SCR_005681 | SciCrunch Registry | GOfetcher: a database with complex searching facility for gene ontology | 2026-10-17 01:26:24 | 0 | ||||
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Chromaseq Resource Report Resource Website 1+ mentions |
Chromaseq (RRID:SCR_005587) | Chromaseq | software resource | A software package in Mesquite that processes chromatograms, makes contigs, base calls, etc., using in part the programs Phred and Phrap. | chromatogram, sequence, mesquite |
is listed by: OMICtools has parent organization: Oregon State University; Oregon; USA |
NSF EF-0531754 | Acknowledgement required | OMICS_01017 | SCR_005587 | SciCrunch Registry | Chromaseq: a package for processing chromatograms and sequence data in Mesquite | 2026-10-17 01:26:20 | 7 | ||||||
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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 | SciCrunch Registry | Genomic Regions Enrichment of Annotations Tool (GREAT), Genomic Regions Enrichment of Annotations Tool | 2026-10-17 01:26:20 | 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 | SciCrunch Registry | 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 | 2026-10-17 01:26:27 | 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 | SciCrunch Registry | The Human Genome Browser at UCSC, UCSC Genome Browser Group, University of California at Santa Cruz Genome Browser, UCSC Genome Bioinformatics | 2026-10-17 01:26:23 | 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 | SciCrunch Registry | OMGN - Oomycete Molecular Genetics Research Collaboration Network, Oomycete Molecular Genetics Research Collaboration Network | 2026-10-17 01:26:27 | 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 | SciCrunch Registry | Viking, Viking Connectome Annotation System, Viking Annotation System | 2026-10-17 01:26:24 | 16 | |||||
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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 | SciCrunch Registry | crowd Labs | 2026-10-17 01:26:33 | 1 | ||||||
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PHYLIP Resource Report Resource Website 1000+ mentions |
PHYLIP (RRID:SCR_006244) | PHYLIP | data processing software, software application, software resource, source code | A free package of software programs for inferring phylogenies (evolutionary trees). The source code is distributed (in C), and executables are also distributed. In particular, already-compiled executables are available for Windows (95/98/NT/2000/me/xp/Vista), Mac OS X, and Linux systems. Older executables are also available for Mac OS 8 or 9 systems. | phylogeny prediction, evolutionary tree, bio.tools |
is listed by: bio.tools is listed by: Debian is listed by: OMICtools is listed by: SoftCite has parent organization: University of Washington; Seattle; USA works with: PAML |
NSF ; NIGMS ; DOE |
Free | nif-0000-06708, OMICS_04240, biotools:phylip | https://bio.tools/phylip, https://sources.debian.org/src/phylip/ | SCR_006244 | SciCrunch Registry | PHYLogeny Inference Package | 2026-10-17 01:26:37 | 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 | SciCrunch Registry | 2026-10-17 01:26:29 | 6 | ||||||||
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VentDB Resource Report Resource Website |
VentDB (RRID:SCR_001632) | VentDB | data or information resource, data repository, database, service resource, storage service resource | Database contating hydrothermal spring geochemistry that hosts and serves the full range of compositional data acquired on seafloor hydrothermal vents from all tectonic settings. It can accommodate published historical data as well as legacy and new data that investigators contribute. | hydrothermal spring, geochemistry, seafloor, hydrothermal vent, tectonic, plume, geochemical |
is listed by: CINERGI has parent organization: EarthChem |
NSF | Free, Available for download, Freely available | nlx_154725, r3d100011536 | https://doi.org/10.17616/R33P8N | SCR_001632 | SciCrunch Registry | 2026-10-17 01:25:04 | 0 | ||||||
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Farsight Toolkit Resource Report Resource Website 1+ mentions |
Farsight Toolkit (RRID:SCR_001728) | FARSIGHT | data processing software, image analysis software, image processing software, software application, software resource, software toolkit | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23, 2022. A collection of software modules for image data handling, pre-processing, segmentation, inspection, editing, post-processing, and secondary analysis. These modules can be scripted to accomplish a variety of automated image analysis tasks. All of the modules are written in accordance with software practices of the Insight Toolkit Community. Importantly, all modules are accessible through the Python scripting language which allows users to create scripts to accomplish sophisticated associative image analysis tasks over multi-dimensional microscopy image data. This language works on most computing platforms, providing a high degree of platform independence. Another important design principle is the use of standardized XML file formats for data interchange between modules. | editing, 2d, 3d, algorithm, analysis, bio-format, computational, data, graphical, inspection, metadata, microscopy, morphological, morphology, pixel, processing, segmentation, taxonomy, image | has parent organization: University of Houston; Texas; USA | NIBIB R01-EB005157; NSF EEC-9986821; NIBIB R01EB005157 |
PMID:24808857 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10227 | SCR_001728 | SciCrunch Registry | FARSIGHTWiki | 2026-10-17 01:25:20 | 2 | |||||
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Ribosomal Mutation Database Resource Report Resource Website 1+ mentions |
Ribosomal Mutation Database (RRID:SCR_001677) | Ribosomal Mutation Database | data or information resource, data repository, database, service resource, storage service resource | This is a database of 16S and 23S ribosomal RNA mutations reported in literature, expanded to include mutations in ribosomal proteins and ribosomal factors. Access to the expanded versions of the 16S and 23S Ribosomal RNA Mutation Databases has been improved to permit searches of the lists of alterations for all the data from (1) one specific organism, (2) one specific nucleotide position, (3) one specific phenotype, or (4) a particular author. Please send bibliographic citations for published work to be included in The Ribosomal Mutation Database to the curator via email. The database currently consists of 1024 records, including 485 16S rRNA records from Escherichia coli, 37 16S-like rRNA records from other organisms, 421 23S rRNA records from E. coli, and 81 23S-like records from other organisms. The numbering of positions in all records corresponds to the numbering in E. coli. We welcome any suggested revisions to the database, as well as information about newly characterized 16S or 23S rRNA mutations. The expanded database will be renamed to The Ribosomal Mutation Database and will include mutations in ribosomal proteins and ribosomal factors. | escherichia coli, mutation, nucleotide, phenotype, ribosomal factor, ribosomal protein, ribosomal rna, rna, rna sequence, rrna, rrna 16s, rrna 23s | has parent organization: Franklin and Marshall College; Pennsylvania; USA | NSF MCB-9726951 | PMID:8594571 PMID:8594570 |
Free, Available for download, Freely available | nif-0000-02522 | SCR_001677 | SciCrunch Registry | The Ribosomal Mutation Database | 2026-10-17 01:25:18 | 2 | |||||
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San Diego Supercomputer Center Resource Report Resource Website 1+ mentions |
San Diego Supercomputer Center (RRID:SCR_001856) | SDSC | institution | Founded in 1985, the San Diego Supercomputer Center (SDSC) enables international science and engineering discoveries through advances in computational science and data-intensive, high-performance computing. SDSC is considered a leader in data-intensive computing, providing resources, services and expertise to the national research community including industry and academia. The mission of SDSC is to extend the reach of scientific accomplishments by providing tools such as high-performance hardware technologies, integrative software technologies, and deep interdisciplinary expertise to these communities. From 1997 to 2004, SDSC extended its leadership in computational science and engineering to form the National Partnership for Advanced Computational Infrastructure (NPACI), teaming with approximately 40 university partners around the country. Today, SDSC is an Organized Research Unit of the University of California, San Diego with a staff of talented scientists, software developers, and support personnel. A broad community of scientists, engineers, students, commercial partners, museums, and other facilities work with SDSC to develop cyberinfrastructure-enabled applications to help manage their extreme data needs. Projects run the gamut from creating astrophysics visualization for the American Museum of Natural History, to supporting more than 20,000 users per day to the Protein Data Bank, to performing large-scale, award-winning simulations of the origin of the universe or how a major earthquake would affect densely populated areas such as southern California. Along with these data cyberinfrastructure tools, SDSC also offers users full-time support including code optimization, training, 24-hour help desk services, portal development and a variety of other services. As one of the NSF's first national supercomputer centers, SDSC served as the data-intensive site lead in the agency's TeraGrid program, a multiyear effort to build and deploy the world's first large-scale infrastructure for open scientific research. SDSC currently provides advanced user support and expertise for XSEDE (Extreme Science and Engineering Discovery Environment) the five-year NSF-funded program that succeeded TeraGrid in mid-2011. | engineering, bioinformatics, computing, geoinformatics, hardware, industry, science, software, technology, computational science, supercomputing, cyberinfrastructure |
has parent organization: University of California at San Diego; California; USA is parent organization of: Scaffold builder is parent organization of: OpenTopography is parent organization of: chronopolis is parent organization of: XSEDE - Extreme Science and Engineering Discovery Environment is parent organization of: Family Pairwise Search - Protein Family Classification is parent organization of: Neuroscience Gateway is parent organization of: Magnetics Information Consortium |
NSF | Free, Freely available | nif-0000-10418, Wikidata: Q3947008, grid.419957.7 | https://ror.org/04mg3nk07 | SCR_001856 | SciCrunch Registry | 2026-10-17 01:25:01 | 5 |
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