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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | ||||||||||||||
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Nitime Resource Report Resource Website 10+ mentions |
Nitime (RRID:SCR_002504) | NiTime | data analysis software, data processing software, software application, software library, software resource, software toolkit | Software library for time-series analysis of data from neuroscience experiments. It contains a core of numerical algorithms for time-series analysis both in the time and spectral domains, a set of container objects to represent time-series, and auxiliary objects that expose a high level interface to the numerical machinery and make common analysis tasks easy to express with compact and semantically clear code. | eeg, meg, electrocorticography, magnetic resonance, time-series, analysis |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Neuroimaging in Python |
Free, Available for download, Freely available | nlx_155903 | http://www.nitrc.org/projects/nitime | SCR_002504 | SciCrunch Registry | Nitime: time-series analysis for neuroscience | 2026-09-26 02:17:05 | 23 | ||||||
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University of Florida Department of Pharmacology and Therapeutics Resource Report Resource Website |
University of Florida Department of Pharmacology and Therapeutics (RRID:SCR_006429) | UF Department of Pharmacology and Therapeutics, UF Department of Pharmacology & Therapeutics | data or information resource, department portal, organization portal, portal | Department fosters independent but interactive research programs in the areas of neuro-pharmacology, cancer pharmacology, cardiovascular pharmacology, retinopathy, inflammation, obesity, aging and gene therapy. A significant number of faculty are actively involved in new drug development. Extramural research support is provided from federal, private and industrial sources.Trainees include undergraduate and graduate students, postdoctoral fellows and M.D., Ph.D. students. Graduate education and training is through the College of Medicine Interdisciplinary Program in Biomedical Sciences. Professional education includes medical, physician assistants and dental students. | has parent organization: University of Florida College of Medicine; Florida; USA | nif-0000-02174 | SCR_006429 | SciCrunch Registry | University of Florida Department of Pharmacology Therapeutics, UF Department of Pharmacology Therapeutics, University of Florida Department of Pharmacology and Therapeutics | 2026-09-26 02:17:08 | 0 | |||||||||
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Ontology of Physical Exercises Resource Report Resource Website |
Ontology of Physical Exercises (RRID:SCR_003836) | OPE | controlled vocabulary, data or information resource, ontology | Ontology that provides a reference for describing an exercise in terms of functional movements, engaged musculoskeletal system parts, related equipment or monitoring devices, intended health outcomes, as well as target ailments for which the exercise might be employed as a treatment or preventative measure. | owl | is listed by: BioPortal | nlx_157535 | SCR_003836 | SciCrunch Registry | 2026-09-26 02:17:09 | 0 | |||||||||
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VIRsiRNAdb Resource Report Resource Website 1+ mentions |
VIRsiRNAdb (RRID:SCR_006108) | VIRsiRNAdb | analysis service resource, data analysis service, data or information resource, data repository, database, production service resource, service resource, storage service resource | VIRsiRNAdb is a curated database of experimentally validated viral siRNA / shRNA targeting diverse genes of 42 important human viruses including influenza, SARS and Hepatitis viruses. Submissions are welcome. Currently, the database provides detailed experimental information of 1358 siRNA/shRNA which includes siRNA sequence, virus subtype, target gene, GenBank accession, design algorithm, cell type, test object, test method and efficacy (mostly quantitative efficacies). Further, wherever available, information regarding alternative efficacies of above 300 siRNAs derived from different assays has also been incorporated. The database has facilities like search, advance search (using Boolean operators AND, OR) browsing (with data sorting option), internal linking and external linking to other databases (Pubmed, Genbank, ICTV). Additionally useful siRNA analysis tools are also provided e.g. siTarAlign for aligning the siRNA sequence with reference viral genomes or user defined sequences. virsiRNAdb would prove useful for RNAi researchers especially in siRNA based antiviral therapeutics development. | virus, sirna, shrna, gene, influenza, sars, hepatitis, sirna sequence, virus subtype, target gene, genbank accession, design algorithm, cell type, efficacy, target genome region, target object, experimental assay, off-target, sirna matching, reference viral sequence, influenza virus, hepatitis b virus, hpv, sars corona virus, viral genome, reference genome, align, sirna sequence, fasta, blast, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Institute of Microbial Technology; Chandigarh; India |
Influenza, SARS, Hepatitis, Infectious disease | Council of Scientific and Industrial Research; New Delhi; India | PMID:22139916 | Open unspecified license / Freely available | nlx_151610, biotools:virsirnadb | https://bio.tools/virsirnadb | SCR_006108 | SciCrunch Registry | VIRsiRNAdb - Database of Viral siRNA / shRNA, Viral siRNA Database, Viral siRNA Database (VIRsiRNAdb) | 2026-09-26 02:17:11 | 4 | |||
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Gene Expression Omnibus (GEO) Resource Report Resource Website 10000+ mentions |
Gene Expression Omnibus (GEO) (RRID:SCR_005012) | GEO | data or information resource, data repository, database, service resource, storage service resource | Functional genomics data repository supporting MIAME-compliant data submissions. Includes microarray-based experiments measuring the abundance of mRNA, genomic DNA, and protein molecules, as well as non-array-based technologies such as serial analysis of gene expression (SAGE) and mass spectrometry proteomic technology. Array- and sequence-based data are accepted. Collection of curated gene expression DataSets, as well as original Series and Platform records. The database can be searched using keywords, organism, DataSet type and authors. DataSet records contain additional resources including cluster tools and differential expression queries. | gold standard, genomics, data, repository, microarray, mRNA, DNA, protein, analysis, SAGE, mass spectrometry, dataset |
is used by: ChIPseeker is recommended by: National Library of Medicine is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is related to: Allen Institute for Brain Science has parent organization: NCBI works with: shinyGEO works with: Drug Gene Budger works with: Signaling Pathways Project works with: GEN3VA |
National Library of Medicine | PMID:23193258 PMID:21097893 PMID:18940857 PMID:17160034 PMID:17099226 PMID:16939800 PMID:16888359 PMID:15608262 PMID:11752295 |
r3d100010283, nif-0000-00142, OMICS_01030, nlx_96903, SCR_007303 | http://www.ncbi.nlm.nih.gov/sites/entrez?db=gds, http://www.ncbi.nlm.nih.gov/geo/, https://doi.org/10.17616/R33P44 | http://www.ncbi.nlm.nih.gov/gds | SCR_005012 | SciCrunch Registry | Gene Expression Omnibus (GEO), Entrez GEO DataSets, Gene Expression Data Sets, Gene Expression Omnibus, GEO, NCBI GEO DataSets, GEO DataSets, Gene Expression Omnibus DataSets | 2026-09-26 02:17:07 | 14348 | ||||
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hPATM Resource Report Resource Website |
hPATM (RRID:SCR_006224) | hPATM | analysis service resource, data analysis service, production service resource, service resource, software resource, source code | A web tool, based on a heuristic transformation of the original global pairwise and local pairwise alignment algorithms, offers objective alignments for transmembrane protein sequences. hPATM takes advantage of the information offered by the knowledge of the position of transmembrane segmets, by experiment or prediction. The heuristic approach may reveal similarities between diverge sequences with low percentages of identity and similarity. The produced alignments, based on common structural scaffolds derived by the transmembrane segments of the sequence, can be used to spot conserved non-transmembrane segments or as a basis for the production of 3-D models via homology modelling. The hPAFAG algorithm is based on the heuristic transformation of the Needleman & Wunsch and Smith & Waterman algorithms, featuring affine gap penalties. The heuristic transformation is based on two extra features: * a heuristic bonus, added to the score when two amino acids that belong to transmembrane segmens are aligned. * a heuristic gap penalty, substracted from the score when a gap is opened in a transmembrane segment. This way transmembrane segments are anchored (not by force, but by more strict alignment) together, allowing the pairwise alignment to focus on non-transmembrane segments. This web server offers a friendly interface for the hPATM command line version. The algorithm was implemented in PERL and the source code of the command line version is available on request by the authors. | heuristic, pairwise alignment, transmembrane protein, protein, algorithm, transmembrane, alignment, transmembrane segment, fasta | has parent organization: University of Athens Biophysics and Bioinformatics Laboratory | All rights are reserved for the whole or part of the program. Permission to use, Copy, And modify this software and its documentation is granted for academic use provided that authors are properly cited. | nlx_151775 | SCR_006224 | SciCrunch Registry | Heuristic Pairwise alignment for Transmembrane Proteins, hPATM - heuristic pairwise alignment for transmembrane proteins | 2026-09-26 02:17:08 | 0 | |||||||
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MEGSIM Resource Report Resource Website |
MEGSIM (RRID:SCR_002420) | MEGSIM | data or information resource, data set, simulation software, software application, software resource | Realistic simulated MEG datasets ranging from basic sensory to oscillatory sets that mimic functional connectivity; as well as basic visual, auditory, and somatosensory empirical sets. The simulated sets were created for the purpose of testing analysis algorithms across the different MEG systems when the truth is known. MEG baseline recordings were obtained from 5 healthy participants, using three MEG systems: VSM/CTF Omega, Elekta Neuromag Vectorview, 4-D Magnes 3600. Simulated signals were embedded within the CTF and Neuromag 306 baseline recordings (4-D to be added). Participant MRIs are available. Averaged simulation files are available as netcdf files. Neuromag 306 averaged simulations are also available in fif format. Also available: single trials of data where the simulated signal is jittered about a mean value, continuous fif files where the simulated signal is marked by a trigger, and simulations with oscillations added to mimic functional connectivity. | eeg, meg, electrocorticography, forward - inverse, mri, meg modeling, model, simulation, os independent, test data, image collection |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Mind Research Network |
NIMH R21MH080141 | PMID:22068921 | Free, Freely available | nlx_155793 | http://www.nitrc.org/projects/megsim | SCR_002420 | SciCrunch Registry | 2026-09-26 02:17:05 | 0 | |||||
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Enzyme Nomenclature Resource Report Resource Website 50+ mentions |
Enzyme Nomenclature (RRID:SCR_006583) | Enzyme Nomenclature | data or information resource, data repository, data set, database, international standard specification, narrative resource, service resource, standard specification, storage service resource | Recommendations of the Nomenclature Committee of the International Union of Biochemistry and Molecular Biology on the nomenclature and classification of enzymes by the reactions they catalyze. Also included are links to individual documents and advice is provided on how to suggest new enzymes for listing, or correction of existing entries. The common names of all listed enzymes are listed, along with their EC numbers. Where an enzyme has been deleted or transferred to another EC number, this information is also indicated. Each list is linked to either separate entries for each entry or to files with up to 50 enzymes in each file. A start has been made in showing the pathways in which enzymes participate. For other enzymes a glossary entry has been added which may be just a systematic name or a link to a graphic representation. The glossary from Enzyme Nomenclature, 1992 may also be consulted. This has been updated with subsequent glossary entries. Each enzyme entry has links to other databases. Enzyme Subclasses provide links to a list of sub-subclasses which in turn list the enzymes linked to separate files for each enzyme, or to a list as part of a file with up to 50 enzymes per file. | enzyme category, enzyme classification, enzyme nomenclature, enzyme reaction category, enzyme, classification, nomenclature, pathway, gold standard, FASEB list |
is related to: ENZYME has parent organization: Queen Mary University of London; London; United Kingdom |
nif-0000-02804 | SCR_006583 | SciCrunch Registry | 2026-09-26 02:17:11 | 54 | |||||||||
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Nervous Tissue Color Images Resource Report Resource Website 10+ mentions |
Nervous Tissue Color Images (RRID:SCR_002416) | data or information resource, image collection | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 13,2026. An image collection of tissue from the central nervous system and peripheral nervous system. | central nervous system, peripheral nervous system, image collection, nervous tissue, color image | has parent organization: University of Delaware; Delaware; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21281 | SCR_002416 | SciCrunch Registry | University of Delaware Nervous Tissue Color Images, UD Nervous Tissue Color Images | 2026-09-26 02:17:05 | 16 | ||||||||
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Generic GO Term Mapper Resource Report Resource Website 10+ mentions |
Generic GO Term Mapper (RRID:SCR_005806) | GOTermMapper, GO Term Mapper | analysis service resource, data analysis service, data processing software, production service resource, service resource, software application, software resource | The Generic GO Term Mapper finds the GO terms shared among a list of genes from your organism of choice within a slim ontology, allowing them to be binned into broader categories. The user may optionally provide a custom gene association file or slim ontology, or a custom list of slim terms. The implementation of this Generic GO Term Mapper uses map2slim.pl script written by Chris Mungall at Berkeley Drosophila Genome Project, and some of the modules included in the GO-TermFinder distribution written by Gavin Sherlock and Shuai Weng at Stanford University, made publicly available through the GMOD project. GO Term Mapper serves a different function than the GO Term Finder. GO Term Mapper simply bins the submitted gene list to a static set of ancestor GO terms. In contrast, GO Term Finder finds the GO terms significantly enriched in a submitted list of genes. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene ontology, gene, gene association, slim ontology, slimmer-type tool, term enrichment, gene annotation, genomics, ontology, process, function, component, bio.tools |
is listed by: Gene Ontology Tools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology is related to: Generic Model Organism Database Project has parent organization: Princeton University; New Jersey; USA |
Free for academic use | nlx_149294, biotools:go_term_mapper | https://bio.tools/go_term_mapper | SCR_005806 | SciCrunch Registry | Generic Gene Ontology Term Mapper, Generic Gene Ontology (GO) Term Mapper | 2026-09-26 02:17:10 | 45 | ||||||
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ConnectomeDB Resource Report Resource Website 50+ mentions |
ConnectomeDB (RRID:SCR_004830) | ConnectomeDB | data or information resource, data repository, database, image collection, image repository, service resource, storage service resource | Data management platform that houses all data generated by the Human Connectome Project - image data, clinical evaluations, behavioral data and more. ConnectomeDB stores raw image data, as well as results of analysis and processing pipelines. Using the ConnectomeDB infrastructure, research centers will be also able to manage Connectome-like projects, including data upload and entry, quality control, processing pipelines, and data distribution. ConnectomeDB is designed to be a data-mining tool, that allows users to generate and test hypotheses based on groups of subjects. Using the ConnectomeDB interface, users can easily search, browse and filter large amounts of subject data, and download necessary files for many kinds of analysis. ConnectomeDB is designed to work seamlessly with Connectome Workbench, an interactive, multidimensional visualization platform designed specifically for handling connectivity data. De-identified data within ConnectomeDB is publicly accessible. Access to additional data may be available to qualified research investigators. ConnectomeDB is being hosted on a BlueArc storage platform housed at Washington University through the year 2020. This data platform is based on XNAT, an open-source image informatics software toolkit developed by the NRG at Washington University. ConnectomeDB itself is fully open source. | brain, connectivity, human, adult human, evaluation, clinical, behavior, data set, diffusion imaging, resting-state fmri, task-evoked fmri, t1-weighted mri, t2-weighted mri, structural mapping, myelin mapping, magnetoencephalography, electroencephalography, fmri, twin |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: XNAT - The Extensible Neuroimaging Archive Toolkit has parent organization: Washington University in St. Louis; Missouri; USA works with: Connectome Workbench |
Healthy, Twin, Non-twin sibling | NIH Blueprint for Neuroscience Research ; Washington University in St. Louis; Missouri; USA ; McDonnell Center for Systems Neuroscience ; NIMH 1U54MH091657 |
PMID:22366334 | Account required, Open unspecified license, Acknowledgement required, See Data Use Terms, The community can contribute to this resource | nlx_143923 | SCR_004830 | SciCrunch Registry | 2026-09-26 02:17:07 | 63 | |||||
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Pathosystems Resource Integration Center Resource Report Resource Website 1000+ mentions |
Pathosystems Resource Integration Center (RRID:SCR_004154) | PATRIC | analysis service resource, bioinformatics resource center, data analysis service, data or information resource, database, production service resource, service resource | A Bioinformatics Resource Center bacterial bioinformatics database and analysis resource that provides researchers with an online resource that stores and integrates a variety of data types (e.g. genomics, transcriptomics, protein-protein interactions (PPIs), three-dimensional protein structures and sequence typing data) and associated metadata. Datatypes are summarized for individual genomes and across taxonomic levels. All genomes, currently more than 10 000, are consistently annotated using RAST, the Rapid Annotations using Subsystems Technology. Summaries of different data types are also provided for individual genes, where comparisons of different annotations are available, and also include available transcriptomic data. PATRIC provides a variety of ways for researchers to find data of interest and a private workspace where they can store both genomic and gene associations, and their own private data. Both private and public data can be analyzed together using a suite of tools to perform comparative genomic or transcriptomic analysis. PATRIC also includes integrated information related to disease and PPIs. The PATRIC project includes three primary collaborators: the University of Chicago, the University of Manchester, and New City Media. The University of Chicago is providing genome annotations and a PATRIC end-user genome annotation service using their Rapid Annotation using Subsystem Technology (RAST) system. The National Centre for Text Mining (NaCTeM) at the University of Manchester is providing literature-based text mining capability and service. New City Media is providing assistance in website interface development. An FTP server and download tool are available. | genomics, genome, transcriptomics, protein-protein interaction, sequence typing, proteobacteria, brucella, rickettsia, coxiella, coronavirus, calicivirus, lyssavirus, virus, hepatitis a, hepatitis e, pathway, proteome, metabolic pathway, drug, vaccine, diagnostics, FASEB list |
is listed by: OMICtools has parent organization: Virginia Polytechnic Institute and State University; Virginia; USA |
NIAID | PMID:24225323 PMID:17142235 |
Free, Public, Acknowledgement requested | r3d100010142, OMICS_01658, nlx_17476 | http://patricbrc.vbi.vt.edu/portal/portal/patric/Home, https://doi.org/10.17616/R3WS3X | http://patric.vbi.vt.edu/ | SCR_004154 | SciCrunch Registry | PathoSystems Resource Integration Center, PATRIC, Pathosystems Resource Integration Center | 2026-09-26 02:17:07 | 1114 | |||
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GetReal Resource Report Resource Website 10+ mentions |
GetReal (RRID:SCR_003862) | GetReal | consortium, data or information resource, organization portal, portal | Consortium that aims to improve the efficiency of the medicine development process by better incorporating estimates of relative effectiveness into drug development and to enrich decision-making by regulatory authorities and health technology assessment (HTA) bodies through: * Bringing together regulators, HTA bodies, academics, companies, patients and other societal stakeholders; * Assessing existing processes, methodologies, and key research issues; * Proposing innovative (and more pragmatic) trial designs and assessing the value of information; * Proposing and testing innovative analytical and predictive modelling approaches; * Assessing operational, ethical, regulatory issues and proposing and testing solutions; * Creating new decision making frameworks, and building open tools to allow for the evaluation of development programs and use in the assessment of the value of new medicines; * Sharing and discussing deliverables with, among others, Pharmaceutical companies, regulatory authorities, HTA / reimbursement agencies, clinicians and patient organizations; * Developing training activities for researchers, decision makers and societal stakeholders in the public and private sector in order to increase knowledge about various aspects of relative effectiveness. The expected impact is that it will contribute to the knowledge base, particularly to inform clinical decision making and improve the efficiency of the R&D process. GETREAL will help to generate a consensus on best practice in the timing, performance and use of real life clinical studies in regulatory and reimbursement decision-making. It will also help to create a strong platform for the communication of results and for future discussions in this important area. | drug, health technology assessment, clinical, drug development, basic research, data sharing |
is listed by: Consortia-pedia is related to: Roche is related to: Janssen Research and Development is related to: Merck is related to: European Medicines Agency is related to: EORTC is related to: French National Authority for Health is related to: London School of Hygiene and Tropical Medicine; London; United Kingdom is related to: University of Ioannina; Ioannina; Greece is related to: University of Bern; Bern; Switzerland is related to: University of Leicester; Leicester; United Kingdom is related to: International Alliance of Patients Organizations |
Innovative Medicines Initiative ; EFPIA |
nlx_158185 | SCR_003862 | SciCrunch Registry | 2026-09-26 02:17:07 | 42 | ||||||||
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Brain-Art Competition Resource Report Resource Website |
Brain-Art Competition (RRID:SCR_005360) | Brain-Art Competition | data or information resource, image, portal, topical portal | An annual Brain-Art Competition to recognize the beauty and creativity of artistic renderings emerging from the neuroimaging community. Submission deadline: June 1st, 2012. Awards will be announced on June 11th during the OHBM conference in Beijing. (You need not be present to win) Countless hours are devoted to creation of informative visualizations for communicating neuroscientific findings. This competition once again aims to recognize the artistic creativity of our community that often goes underappreciated in the publication process. We are inviting researchers to submit their favorite unpublished works for entry. Both team and single-person entries are welcomed. The competition will have five award categories: # Best Representation of the Human Connectome # Best Abstract Brain Illustration # Best Educational Brain Illustration # Best Humorous Brain Illustration # Best Video Illustration of the Brain Submissions will be evaluated based on their aesthetic merit | neuroimaging, competition, data set, illustration, brain, art | has parent organization: Neuro Bureau | nlx_144427 | SCR_005360 | SciCrunch Registry | Neuro Bureau Brain-Art Competition | 2026-09-26 02:17:10 | 0 | ||||||||
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Inter-Group Registration Toolbox Resource Report Resource Website |
Inter-Group Registration Toolbox (RRID:SCR_002404) | InterGroupReg | data processing software, image analysis software, registration software, software application, software resource | Software package that provides solutions for registering two groups of images, which are the necessary steps for many brain-related applications. | magnetic resonance |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of North Carolina at Chapel Hill School of Medicine; North Carolina; USA |
Free, Available for download, Freely available | nlx_155777 | http://www.nitrc.org/projects/intergroupreg | SCR_002404 | SciCrunch Registry | 2026-09-26 02:17:05 | 0 | |||||||
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NIF Cell Ontology Resource Report Resource Website |
NIF Cell Ontology (RRID:SCR_003977) | NIFCELL | controlled vocabulary, data or information resource, ontology | Ontology for cell types from NIFSTD | owl |
is listed by: BioPortal has parent organization: NIFSTD |
nlx_157492 | SCR_003977 | SciCrunch Registry | Neuroscience Information Framework (NIF) Cell Ontology, Neuroscience Information Framework Cell Ontology | 2026-09-26 02:17:09 | 0 | ||||||||
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Arrowsmith Resource Report Resource Website 1+ mentions |
Arrowsmith (RRID:SCR_002523) | data or information resource, portal, project portal, software application, software resource, text-mining software | Portal for documenting the Arrowsmith project and developing text mining tools for scientific, and specifically neuroscience, literature. It also contains a search functions that identifies similar concepts between two articles. | data mining software, neuroscience literature, text mining, project portal | has parent organization: University of Illinois at Chicago; Illinois; USA | National Library of Medicine ; National Institute of Mental Health |
PMID:19185946 | Free, Freely available | nif-0000-00126 | SCR_002523 | SciCrunch Registry | Arrowsmith Project | 2026-09-26 02:17:07 | 3 | ||||||
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OpenSim Resource Report Resource Website 500+ mentions |
OpenSim (RRID:SCR_002683) | simulation software, software application, software resource | OpenSim is an open-source software system that lets users develop models of musculoskeletal structures and create dynamic simulations of movement. The software provides a platform on which the biomechanics community can build a library of simulations that can be exchanged, tested, analyzed, and improved through multi-institutional collaboration. The underlying software is written in ANSI C++, and the graphical user interface (GUI) is written in Java. OpenSim technology makes it possible to develop customized controllers, analyses, contact models, and muscle models among other things. These plugins can be shared without the need to alter or compile source code. Users can analyze existing models and simulations and develop new models and simulations from within the GUI. | muscle-driven simulation, musculoskeletal biomechanics, neuromuscular simulation, modeling software, simulation software |
is related to: Simtk.org is related to: Neuromuscular Models Library has parent organization: Stanford University; Stanford; California |
Simbios ; NIGMS U54 GM072970; DARPA |
Public, Free, Acknowledgement requested | nif-0000-23308 | https://simtk.org/home/opensim, http://opensim.stanford.edu/support/index.html | SCR_002683 | SciCrunch Registry | 2026-09-26 02:17:06 | 612 | |||||||
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Science Careers Resource Report Resource Website |
Science Careers (RRID:SCR_005156) | Science Careers | data or information resource, job resource, narrative resource | The journal Science is one of the most prestigious and widely cited scientific journals in the world. Founded by Thomas Edison in 1880, Science has been publishing breaking news and seminal research for more than 125 years. Science Careers is the careers component of Science that scientists rely on for career information and job postings. Science Careers offers a wide variety of content designed to assist scientists of all disciplines, backgrounds and experience levels navigate their career path. This includes over 3,000 job listings that are updated daily, thousands of career advice articles written by the Science Careers editorial staff, graduate program information, meetings and event information, funding opportunities on GrantsNet, and a Career Forum where scientists can join a community of experts and peers engaging in real time discussions around career issues. For employers, Science Careers provides multiple platforms for recruiting scientists and extending their employment brand including job postings, banner advertisements, email and newsletters and sponsorships. | job seeker, employer, career, employment, job posting, resume, database, community building portal, data storage repository, postdoctoral program resource |
is used by: NIF Data Federation is related to: Integrated Jobs |
The materials on this Website are protected by United States copyright law except that no copyright is claimed in any work of the US government. For personal, Noncommercial use only. Except where otherwise permitted, Any further reproduction, Distribution, Transmission, Display, Publication, Or broadcast requires the prior written permission of The American Association for the Advancement of Science. | nlx_144181 | SCR_005156 | SciCrunch Registry | 2026-09-26 02:17:07 | 0 | ||||||||
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JCVI CMR Resource Report Resource Website 10+ mentions |
JCVI CMR (RRID:SCR_005398) | JCVI_CMR, JCVI CMR, TIGR_CMR, TIGR CMR | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Database of all of the publicly available, complete prokaryotic genomes. In addition to having all of the organisms on a single website, common data types across all genomes in the CMR make searches more meaningful, and cross genome analysis highlight differences and similarities between the genomes. CMR offers a wide variety of tools and resources, all of which are available off of our menu bar at the top of each page. Below is an explanation and link for each of these menu options. * Genome Tools: Find organism lists as well as summary information and analyses for selected genomes. * Searches: Search CMR for genes, genomes, sequence regions, and evidence. * Comparative Tools: Compare multiple genomes based on a variety of criteria, including sequence homology and gene attributes. SNP data is also found under this menu. * Lists: Select and download gene, evidence, and genomic element lists. * Downloads: Download gene sequences or attributes for CMR organisms, or go to our FTP site. * Carts: Select genome preferences from our Genome Cart or download your Gene Cart genes. The Omniome is the relational database underlying the CMR and it holds all of the annotation for each of the CMR genomes, including DNA sequences, proteins, RNA genes and many other types of features. Associated with each of these DNA features in the Omniome are the feature coordinates, nucleotide and protein sequences (where appropriate), and the DNA molecule and organism with which the feature is associated. Also available are evidence types associated with annotation such as HMMs, BLAST, InterPro, COG, and Prosite, as well as individual gene attributes. In addition, the database stores identifiers from other centers such as GenBank and SwissProt, as well as manually curated information on each genome or each DNA molecule including website links. Also stored in the Omniome are precomputed homology data, called All vs All searches, used throughout the CMR for comparative analysis. | microbial, prokaryotic, genome, annotation, dna sequence, protein, rna gene, blast, FASEB list |
is used by: NIF Data Federation is related to: AmiGO has parent organization: J. Craig Venter Institute is parent organization of: JCVI GenProp |
NSF ; NIAID ; DOE |
Free | nif-0000-03555 | SCR_005398 | SciCrunch Registry | JCVI Comprehensive Microbial Resource, J. Craig Venter Institute Comprehensive Microbial Resource, CMR, Comprehensive Microbial Resource | 2026-09-26 02:17:08 | 37 |
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
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