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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Computational Neuroanatomy Group Resource Report Resource Website |
Computational Neuroanatomy Group (RRID:SCR_007150) | CNG | topical portal, data or information resource, software resource, portal | Multidisciplinary research team devoted to the study of basic neuroscience with a specific interest in the description and generation of dendritic morphology, and in its effect on neuronal electrophysiology. In the long term, they seek to create large-scale, anatomically plausible neural networks to model entire portions of a mammalian brain (such as a hippocampal slice, or a cortical column). Achievements by the CNG include the development of software for the quantitative analysis of dendritic morphology, the implementation of computational models to simulate neuronal structure, and the synthesis of anatomically accurate, large scale neuronal assemblies in virtual reality. Based on biologically plausible rules and biophysical determinants, they have designed stochastic models that can generate realistic virtual neurons. Quantitative morphological analysis indicates that virtual neurons are statistically compatible with the real data that the model parameters are measured from. Virtual neurons can be generated within an appropriate anatomical context if a system level description of the surrounding tissue is included in the model. In order to simulate anatomically realistic neural networks, axons must be grown as well as dendrites. They have developed a navigation strategy for virtual axons in a voxel substrate. | dendritic morphology, neuronal morphology, neuronal electrophysiology, mammalian brain, neural network, cell, model, morphology, network connectivity, basal ganglia, modeling software, hippocampus, hermissenda learning, caulescence, tree structure, neuron, virtual neural network, morphological class of neuron, virtual neuron, virtual brain, ca3 pyramidal cell, arborvitae, ca1 pyramidal cell, polymorphic cell, dg granule cell, axonal navigation, synaptic connectivity, neuroplasticity, neuroanatomy, neuroinformatics, computation, network model, neural circuit, cellular event, expression, ca3, ca1 pyramidal neuron, digital morphological reconstruction, digital reconstruction, dendrite, axon, neuronal tree, signaling pathway |
has parent organization: George Mason University: Krasnow Institute for Advanced Study is parent organization of: L-Measure is parent organization of: Hippocampus 3D Model |
NINDS ; NIMH ; NSF ; Human Brain Project |
nif-0000-00503 | http://krasnow.gmu.edu/cn3/index3.html | SCR_007150 | Computational Neuroanatomy Group at the Krasnow Institute for Advanced Study | 2026-02-15 09:19:22 | 0 | ||||||
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Fungal Genetics Stock Center Resource Report Resource Website 100+ mentions |
Fungal Genetics Stock Center (RRID:SCR_008143) | organism supplier, material resource, biomaterial supply resource | The Fungal Genetics Stock Center is a resource available to the Fungal Genetics research community and to educational and research organizations in general. While some fungi can cause disease in humans, most people have innate immunity against fungi. Some people with diseases of the immune system are at increased risk of infection by fungi. Drugs have been developed in the last 5 years that help with this. Fungal Genetics is the study of genes and genetic traits in fungi. In the past this has been important in the elucidation of what a gene is, what the genetic material is, how genes relate to enzymes, how enzymes relate to traits and how important traits change or evolve. In the present, Fungal Genetics is important to understanding how fungi are pathogens of plants and animals, how fungi can be used in industry for the production of enzymes, chemicals, food, and drugs. Fungi are also essential to processing bio-mass in the attempt to use ethanol as a fuel source. The FGSC is funded largely by a grant from the National Science Foundation (Award Number 0235887) of the United States of America. Sponsors: Supported by a grant from the National Science Foundation. | drug, fungal genetic, fungus, animal, basic research knowledge base, database, disease, plant, FASEB list | has parent organization: University of Missouri; Missouri; USA | NSF G12967 | nif-0000-20977 | SCR_008143 | FGSC | 2026-02-15 09:19:44 | 190 | ||||||||
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Organelle DB Resource Report Resource Website 1+ mentions |
Organelle DB (RRID:SCR_007837) | Organelle DB | database, d spatial image, service resource, storage service resource, data repository, data or information resource, image collection | Database of organelle proteins, and subcellular structures / complexes from compiled protein localization data from organisms spanning the eukaryotic kingdom. All data may be downloaded as a tab-delimited text file and new localization data (and localization images, etc) for any organism relevant to the data sets currently contained in Organelle DB is welcomed. The data sets in Organelle DB encompass 138 organisms with emphasis on the major model systems: S. cerevisiae, A. thaliana, D. melanogaster, C. elegans, M. musculus, and human proteins as well. In particular, Organelle DB is a central repository of yeast protein localization data, incorporating results from both previous and current (ongoing) large-scale studies of protein localization in Saccharomyces cerevisiae. In addition, we have manually curated several recent subcellular proteomic studies for incorporation in Organelle DB. In total, Organelle DB is a singular resource consolidating our knowledge of the protein composition of eukaryotic organelles and subcellular structures. When available, we have included terms from the Gene Ontologies: the cellular component, molecular function, and biological process fields are discussed more fully in GO. Additionally, when available, we have included fluorescent micrographs (principally of yeast cells) visualizing the described protein localization. Organelle View is a visualization tool for yeast protein localization. It is a visually engaging way for high school and undergraduate students to learn about genetics or for visually-inclined researchers to explore Organelle DB. By revealing the data through a colorful, dimensional model, we believe that different kinds of information will come to light. | gene, fly, vertebrate, human, mouse, plant, worm, yeast, protein, k-12, organelle, protein localization, function, subcellular structure, protein complex, sequence, annotation, micrograph, visualization, data analysis service |
is related to: Gene Ontology has parent organization: University of Michigan; Ann Arbor; USA |
American Cancer Society Research Scholar Grant RSG-06-179-01-MBC; March of Dimes Basil O'Connor Starter Scholar Research award 5-FY05-1224; NSF DBI-0543017 |
PMID:17130152 PMID:15608270 |
Free, Acknowledgement requested | nif-0000-03226 | SCR_007837 | Organelle DB: A Database of Organelles and Protein Complexes | 2026-02-15 09:19:40 | 7 | |||||
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brainlife Resource Report Resource Website 10+ mentions |
brainlife (RRID:SCR_020940) | portal, service resource, storage service resource, data repository, project portal, data or information resource | Free cloud platform for secure neuroscience data analysis. Allows to manage data, processing and results, sharing projects privately with collaborators or publicly with brainlife.io community.Promotes engagement and education in reproducible neuroscience.You can share your neuroimaging data publicly or privately. Data on brainlife.io is organized as Datatypes to allow interoperability between Apps. | Secure neuroscience data analysis, manage data, sharing projects, data files mapping, interoperate | works with: brainlife.io | NSF OAC 1916518; NSF IIS 1912270; NSF IIS 1636893; NSF BCS 1734853; NIBIB R01 EB029272; Google Cloud ; Microsoft Research Award ; Microsoft Investigator Fellowship ; Indiana University |
Free, Freely available | r3d100012397, r3d100013223 | https://github.com/brainlife https://github.com/brainlife/brainlife https://doi.org/10.17616/R3KV0P https://doi.org/10.17616/R31NJMP3 |
SCR_020940 | Brainlife | 2026-02-15 09:22:23 | 15 | ||||||
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MCScanX Resource Report Resource Website 100+ mentions |
MCScanX (RRID:SCR_022067) | software application, data processing software, software resource, software toolkit, data analysis software | Software toolkit for detection and evolutionary analysis of gene synteny and collinearity. | gene synteny and collinearity, detection and evolutionary analysis, | NSF DBI 0849896; NSF MCB 0821096; NSF MCB 1021718; NIAID R01 AI068908 |
PMID:22217600 | Free, Available for download, Freely available | SCR_022067 | Multiple Collinearity Scan toolkit X version | 2026-02-15 09:22:39 | 257 | ||||||||
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Open Tree of Life Resource Report Resource Website 1+ mentions |
Open Tree of Life (RRID:SCR_024603) | portal, software resource, web service, data access protocol, project portal, data or information resource | Project aims to construct comprehensive, dynamic and digitally available tree of life by synthesizing published phylogenetic trees along with taxonomic data. | construct tree of life, digitally available tree of life, published phylogenetic trees, taxonomic data, |
is listed by: DataCite has parent organization: University of California; California; USA |
NSF | Free, Freely available | https://opentreeoflife.github.io/ https://api.datacite.org/dois?prefix=10.48699 |
SCR_024603 | 2026-02-15 09:22:45 | 2 | ||||||||
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microbeMASST Resource Report Resource Website 1+ mentions |
microbeMASST (RRID:SCR_024713) | web service, data access protocol, software resource | Web taxonomically informed mass spectrometry search tool, tackles limited microbial metabolite annotation in untargeted metabolomics experiments. Leveraging database of over 60,000 microbial monocultures, users can search known and unknown MS/MS spectra and link them to their respective microbial producers via MS/MS fragmentation patterns. | Identification of microbial derived metabolites, microbial metabolomics data, microbial metabolite annotation, taxonomy, mass spectrometry search tool, searching tool, bacteria, fungi, metabolomics, microbiome, search known and unknown MS/MS spectra, | is related to: GNPS MASST | NIDDK U24DK133658; NIA U19AG063744; NIGMS 1DP2GM137413; Korean Government ; Austrian Science Fund ; German Research Foundation ; Sao Paulo Research Foundation ; Mexican National Council of Science and Technology ; NIGMS R01GM107550; NSF ; Research Council of Norway ; NIAID R01AI167860; NIDDK T32DK007202; NIGMS 1R01GM132649; NIGMS R35GM142938; NIDDK U01DK119702; NIH Office of the Director S10 OD021750; NLM 1R01LM013115 |
PMID:37577622 | Free, Freely available, | SCR_024713 | 2026-02-15 09:23:35 | 6 | ||||||||
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Sheep Brain Atlas Resource Report Resource Website 1+ mentions |
Sheep Brain Atlas (RRID:SCR_001752) | atlas, data or information resource, portal | Online portal and image database of coronal sections of the sheep brain. Each image contains stained sections of cell bodies and myelinated fibers; nuclei and tracts are labeled. | sheep brain, atlas, images, coronal section, stain, anatomy |
has parent organization: Michigan State University; Michigan; USA has parent organization: National Science Foundation |
NSF 0131267; NSF 0131826; NSF 0131028 |
Free, Freely available | nif-0000-00102 | https://www.msu.edu/~brains/brains/sheep/index.html | SCR_001752 | Sheep Brain Atlas, The Navigable Atlas of the Sheep Brain | 2026-02-15 09:18:10 | 4 | ||||||
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Functional Regression Analysis of DTI Tract Statistics Resource Report Resource Website |
Functional Regression Analysis of DTI Tract Statistics (RRID:SCR_002293) | FRATS | software application, image analysis software, data processing software, software resource | Software for the analysis of multiple diffusion properties along fiber bundle as functions in an infinite dimensional space and their association with a set of covariates of interest, such as age, diagnostic status and gender, in real applications. The resulting analysis pipeline can be used for understanding normal brain development, the neural bases of neuropsychiatric disorders, and the joint effects of environmental and genetic factors on white matter fiber bundles. | computational neuroscience, imaging genomics, magnetic resonance, regression analysis, dti, statistics |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of North Carolina at Chapel Hill; North Carolina; USA |
NSF BCS-08-26844; NCRR UL1-RR025747-01; NIMH MH086633; NIA AG033387; NIMH MH064065; NICHD HD053000; NIMH MH070890; NINDS R01NS055754; NIBIB U54 EB005149-01 |
PMID:20335089 | Academic Free License | nlx_155629 | SCR_002293 | Functional Regression Analysis of DTI | 2026-02-15 09:18:16 | 0 | |||||
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Open Science Data Cloud Resource Report Resource Website 1+ mentions |
Open Science Data Cloud (RRID:SCR_003523) | OSDC | data or information resource, service resource, data set, software resource | Service that provides petabyte-scale cloud resources to analyze, manage, and share scientific data. It is designed to serve medium to large sized research projects by managing and operating a secure cloud computing infrastructure that can be shared across a project. This Science as a Service approach to research saves scientists and their funders valuable time and money. All of the software developed is open source and hosted on GitHub. The OSDC also has 1PB of public data in a wide variety of disciplines. The data sets can downloaded over the internet or high performance networks such as Internet2, as well as computed over directly on the OSDC. | cloud | is parent organization of: Bionimbus | Gordon and Betty Moore Foundation ; NSF |
Application required, Purchase | nlx_157679 | SCR_003523 | 2026-02-15 09:18:31 | 3 | |||||||
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Dynamic Regulatory Events Miner Resource Report Resource Website 1+ mentions |
Dynamic Regulatory Events Miner (RRID:SCR_003080) | DREM | software application, data processing software, software resource | The Dynamic Regulatory Events Miner (DREM) allows one to model, analyze, and visualize transcriptional gene regulation dynamics. The method of DREM takes as input time series gene expression data and static transcription factor-gene interaction data (e.g. ChIP-chip data), and produces as output a dynamic regulatory map. The dynamic regulatory map highlights major bifurcation events in the time series expression data and transcription factors potentially responsible for them. DREM 2.0 was released and supports a number of new features including: * new static binding data for mouse, human, D. melanogaster, A. thaliana * a new and more flexible implementation of the IOHMM supports dynamic binding data for each time point or as a mix of static/dynamic TF input * expression levels of TFs can be used to improve the models learned by DREM * the motif finder DECOD can be used in conjuction with DREM and help find DNA motifs for unannotated splits * new features for the visualization of expressed TFs, dragging boxes in the model view, and switching between representations | transcription, gene regulation, dynamics, time series, gene expression, static, dynamic, transcription factor-gene interaction, chip-chip, transcription factor, regulatory network, hidden markov model, systems biology, gene regulatory network, times series expression data, dynamic network, chip-seq | has parent organization: Carnegie Mellon University; Pennsylvania; USA | NIH ; NIGMS 1RO1 GM085022; NIAID DNO1 AI-5001; NSF 0448453 |
PMID:22897824 | Free, Available for download, Freely available | nif-0000-30478 | SCR_003080 | Dynamic Regulatory Events Miner (DREM) | 2026-02-15 09:18:26 | 5 | |||||
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ImpactStory Resource Report Resource Website 1+ mentions |
ImpactStory (RRID:SCR_002632) | service resource, source code, software resource, production service resource | A web application which provides altmetrics to help researchers measure and share the impacts of their research outputs. After making a profile, scientists can track which of their publications are most popular through number of citations, frequency of PDF downloads, etc. Information from research outputs such as journal articles, blog posts, datasets, and software contribute to a user's impact, which is viewable in their profile. | altmetrics, metric, citeulike, crossref, scienceseeker, scopus, slideshare, topsy, twitter, vimeo, wordpress.com, plos, youtube |
is used by: Publons is listed by: FORCE11 is listed by: Connected Researchers is listed by: PLOS Article-Level Metrics is related to: PubMed is related to: GitHub is related to: FigShare is related to: Dryad Digital Repository is related to: Wikipedia is related to: Mendeley |
Alfred P. Sloan Foundation ; NSF ; Open Society Foundation |
Free, Freely available | nlx_156056 | SCR_002632 | ImpactStory | 2026-02-15 09:18:21 | 8 | |||||||
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Short Time-series Expression Miner (STEM) Resource Report Resource Website 50+ mentions |
Short Time-series Expression Miner (STEM) (RRID:SCR_005016) | STEM | software application, data processing software, software resource | The Short Time-series Expression Miner (STEM) is a Java program for clustering, comparing, and visualizing short time series gene expression data from microarray experiments (~8 time points or fewer). STEM allows researchers to identify significant temporal expression profiles and the genes associated with these profiles and to compare the behavior of these genes across multiple conditions. STEM is fully integrated with the Gene Ontology (GO) database supporting GO category gene enrichment analyses for sets of genes having the same temporal expression pattern. STEM also supports the ability to easily determine and visualize the behavior of genes belonging to a given GO category or user defined gene set, identifying which temporal expression profiles were enriched for these genes. (Note: While STEM is designed primarily to analyze data from short time course experiments it can be used to analyze data from any small set of experiments which can naturally be ordered sequentially including dose response experiments.) Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | statistical analysis, term enrichment, visualization, cluster, compare, short time series, gene expression, microarray, expression profile, gene, gene ontology, gene enrichment analyses, FASEB list |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Carnegie Mellon University; Pennsylvania; USA |
NIAID NO1 AI-5001; NSF 0448453 |
PMID:16597342 PMID:15961453 |
Open unspecified license - Free for academic use | nlx_97053 | SCR_005016 | Short Time-series Expression Miner | 2026-02-15 09:18:52 | 81 | |||||
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Autopack Resource Report Resource Website 1+ mentions |
Autopack (RRID:SCR_006830) | autoPack | software application, data processing software, software resource | An open-source general packing algorithm that packs 3D objects onto surfaces, into volumes, and around volumes. It provides a general architecture to allow various packing algorithms to interoperate efficiently in the same model. autoPack can incorporate any packing solution into its modular python program architecture, but is currently optimized to provide a novel solution to the loose packing problem which places objects of discrete size into place (compared to advancing front, popcorn, or other fast tight-packing solutions that allow objects to scale to arbitrary masses.) Most popular 3D software programs now contain robust physics engines based on Bullet that can separate small collections of overlapping objects or allow volumes to be filled by pouring shapes from generators, but these approaches fails for large complex systems and result in either overlapping geometry, crashed software, or non-random gradients. Most packing algorithms are designed to position objects as efficiently as possible, but autoPack allows the user to select from random loose packing to highly organized packing methods����??even to choose both methods at the same time. autoPack positions 3D geometries into, onto, and around volumes with minimal to zero overlap. autoPack mixes several packing approaches and procedural growth algorithms. autoPack can thus place objects with forces and constraints to allow a high degree of control ranging from completely random distributions to highly ordered structures. * zero to minimal overlaps depending on the method used * accuracy vs speed parameters selected by the user * zero edge effects * complete control, from fully random to fully ordered distributions * agent-based interaction, weighting, and collision control | 3d visualization software, modeling software, 3d packing software, packing, 3d object, surface, volume, algorithm |
is related to: Cellpack has parent organization: Google Code has parent organization: Scripps Research Institute is parent organization of: Cellpack |
QB3 at UCSF Fellowship ; NSF 07576; NCRR P41 RR08605 |
GNU Lesser General Public License | nlx_151791 | https://sites.google.com/site/autofill21/ http://code.google.com/p/autofill/ |
SCR_006830 | 2026-02-15 09:19:22 | 3 | ||||||
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Scholarometer Resource Report Resource Website |
Scholarometer (RRID:SCR_004279) | Scholarometer | source code, data set, software resource, data access protocol, web service, data or information resource | Scholarometer (beta) is a social tool to facilitate citation analysis and help evaluate the impact of an author''s publications. It is a social (crowdsourcing) application that leverages the wisdom of the crowds. Scholarometer makes visualization of author and discipline networks available on the web site. It requires users to tag their queries with one or more discipline names, choosing from predefined ISI subject categories or arbitrary tags. This generates annotations that go into a database, which collects statistics about the various disciplines, such as average number of citations per paper, average number of papers per authors, etc. This data is publicly available. Scholarometer users can save the finding into formats appropriate for local reference management software (e.g., EndNote), or for social publication sharing systems (e.g., BibSonomy). Currently, our system supports the following export formats: BibTex (BIB), RefMan (RIS), EndNote (ENW), comma-separated values (CSV), tab-separated values (XLS), and BibJSON. Export data is dynamically generated in response to any filter, merge or delete actions performed by the user. Since Scholarometer is a browser extension that provides a smart interface for Google Scholar, it does not have the limitations of server based citation analysis tools that sit between the user and Google Scholar. At the same time Scholarometer is not an application, such as Publish or Perish, and therefore it is platform independent and runs on every system that supports the Firefox or the Chrome browser. Still, Scholarometer uses Google Scholar, which provides the most comprehensive source of citation data across the sciences and social sciences. Scholarometer provides a RESTful web API so that other developers can make use of our crowdsourced data. Select the method on the left panel to see corresponding documentation. The extension/add-on code is available in the Mozilla Firefox Add-ons and Google Chrome Extensions repositories. Additional server-side code is not available at this time. | has parent organization: Indiana University Bloomington; Indiana; USA | NSF IIS-0811994 | PMID:22984414 | nlx_29330 | SCR_004279 | 2026-02-15 09:18:40 | 0 | ||||||||
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AntWeb Resource Report Resource Website 100+ mentions |
AntWeb (RRID:SCR_004851) | AntWeb | database, service resource, storage service resource, data repository, data or information resource, image repository | Database of images, specimen records, and natural history information on ants including Search Tools, Regional Lists, In Depth Information, Ant Image Comparison Tool, PDF Field Guides, Maps on AntWeb and Google Earth, and Ant Genera of the World Slideshow. It is community driven and open to contribution from anyone with specimen records, natural history comments, or images. As of February of 2013, AntWeb has 97,814 ant images, of 23,272 specimens representing over 10,549 species. AntWeb provides tools for submitting images, specimen records, annotating species pages, and managing regional species lists. AntWeb contains information on the ant faunas of several areas in the Nearctic and Malagasy biogeographic regions, and global coverage of all ant genera. AntWeb provides tools for exploring the diversity and identification of ants (Hymenoptera: Formicidae). These tools have been developed to encourage the study of ants, to facilitate the use of ants in inventory and monitoring programs, and to provide ant taxonomists with access to images of type specimens. AntWeb illustrates the diversity of ants by providing information and high quality color images of many of the approximately 10,000 known species of ants. AntWeb currently focuses on the species of the Nearctic and Malagasy biogeographic regions, and the ant genera of the world. Over time, the site will grow to describe every species of ant known. | image, FASEB list | has parent organization: California Academy of Sciences | Private donations ; NSF DEB-0344731; NSF EF-0431330 |
nlx_84285 | SCR_004851 | 2026-02-15 09:18:50 | 195 | ||||||||
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DataONE Resource Report Resource Website 10+ mentions |
DataONE (RRID:SCR_003999) | DataONE | portal, catalog, database, software resource, service resource, storage service resource, data repository, data or information resource | A distributed framework and cyberinfrastructure for open, persistent, and secure access to Earth observational data. It ensures the preservation, access, use and reuse of multi-scale, multi-discipline, and multi-national science data via three primary cyberinfrastucture elements and a broad education and outreach program. The DataONE Investigator Toolkit is a collection of software tools for finding, using, and contributing data in DataONE. DataONE currently hosts three Coordinating Nodes that provide network-wide services to enhance interoperability of the Member Nodes and support indexing and replication services. Coordinating Nodes provide a replicated catalog of Member Node holdings and make it easy for scientists to discover data wherever they reside, also enabling data repositories to make their data and services more broadly available to the international community. DataONE Coordinating Nodes are located at the University of New Mexico, the University of California Santa Barbara and at the University of Tennessee (in collaboration with Oak Ridge National Laboratory). DataONE comprises a distributed network of data centers, science networks or organizations. These organizations can expose their data within the DataONE network through the implementation of the DataONE Member Node service interface. In addition to scientific data, Member Nodes can provide computing resources, or services such as data replication, to the DataONE community. | earth, environment, data sharing, cyberinfrastructure, earth observational data, data management, data set, FASEB list |
uses: DataUp is listed by: DataCite is listed by: re3data.org is listed by: FAIRsharing has parent organization: University of New Mexico; New Mexico; USA |
NSF 0830944; NSF 1430508 |
Acknowledgement requested | DOI:10.25504/FAIRsharing.yyf78h, nlx_158410, DOI:10.17616/R3101G, r3d100010478, DOI:10.2586 | https://doi.org/10.17616/R3101G https://doi.org/10.17616/r3101g https://doi.org/10.2586/ https://dx.doi.org/10.2586/ https://fairsharing.org/10.25504/FAIRsharing.yyf78h https://doi.org/10.17616/R3TG83 |
SCR_003999 | Data Observation Network for Earth | 2026-02-15 09:18:39 | 44 | |||||
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BioMart Project Resource Report Resource Website 100+ mentions |
BioMart Project (RRID:SCR_002987) | portal, software resource, data access protocol, web service, project portal, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 4,2023.Platform provides free software and data services to international scientific community in order to foster scientific collaboration and facilitate scientific discovery process. Project adheres to open source philosophy that promotes collaboration and code reuse. | biology, data, management, data mining, search, descriptive, graphical, application, perl, java, gold standard |
is used by: Blueprint Epigenome is related to: Mouse Genome Informatics (MGI) is related to: biomaRt has parent organization: Ontario Institute for Cancer Research has parent organization: European Bioinformatics Institute |
Wellcome Trust ; Spanish Government ; Sandra Ibarra Foundation for Cancer ; Breast Cancer Campaign Tissue Bank ; U.S. Department of Energy ; NSF NRF 2013M3A6A4043695; Center for Genome Regulation ; Center for Mathematical Modelling ; European Molecular Biology Laboratory |
PMID:21930506 PMID:19144180 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30184 | SCR_002987 | BioMart software | 2026-02-15 09:18:25 | 284 | ||||||
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MOPED - Model Organism Protein Expression Database Resource Report Resource Website 1+ mentions |
MOPED - Model Organism Protein Expression Database (RRID:SCR_006065) | MOPED | data analysis service, database, service resource, production service resource, data or information resource, analysis service resource, resource | An expanding multi-omics resource that enables rapid browsing of gene and protein expression information from publicly available studies on humans and model organisms. MOPED also serves the greater research community by enabling users to visualize their own expression data, compare it with existing studies, and share it with others via private accounts. MOPED uniquely provides gene and protein level expression data, meta-analysis capabilities and quantitative data from standardized analysis utilizing SPIRE (Systematic Protein Investigative Research Environment). Data can be queried for specific genes and proteins; browsed based on organism, tissue, localization and condition; and sorted by false discovery rate and expression. MOPED links to various gene, protein, and pathway databases, including GeneCards, Entrez, UniProt, KEGG and Reactome. The current version of MOPED (MOPED 2.5) The current version of MOPED (MOPED 2.5, 2014) contains approximately 5 million total records including ~260 experiments and ~390 conditions. | protein expression, gene expression, model organism, gene, protein, pathway, proteomics, transcriptomics, data visualization, overlap plot, heatmap, dot plot, data sharing, protein localization, gene localization |
is related to: GeneCards is related to: UniProt is related to: KEGG is related to: Reactome |
Robert B McMillen Foundation ; NSF DBI0544757; NIGMS 5R01GM076680; NIDDK UO1DK072473; NIDDK 1U01DK089571 |
PMID:24350770 PMID:22139914 |
nlx_151470 | SCR_006065 | Multi-Omics Profiling Expression Database | 2026-02-15 09:19:18 | 2 | ||||||
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CRCNS Resource Report Resource Website 100+ mentions |
CRCNS (RRID:SCR_005608) | CRCNS | funding resource, service resource, storage service resource, data repository, collaborative tool, data or information resource | Website for brain experimental data and other resources such as stimuli and analysis tools. Provides marketplace and discussion forum for sharing tools and data in neuroscience. Data repository and collaborative tool that supports integration of theoretical and experimental neuroscience through collaborative research projects. CRCNS offers funding for new class of proposals focused on data sharing and other resources. | collaborative research, data sharing, computational model, brain, computational neuroscience, data set, FASEB list |
is used by: NIF Data Federation is used by: DataLad is used by: Integrated Datasets is recommended by: National Library of Medicine is listed by: DataCite is related to: Integrated Manually Extracted Annotation has parent organization: University of California at Berkeley; Berkeley; USA has parent organization: University of California; California; USA |
NIH ; NSF IIS-0749049; NSF 0636838 |
PMID:18259695 | Free, Freely available | nif-0000-00255, r3d100011269 | https://api.datacite.org/dois?prefix=10.6080 https://doi.org/10.17616/R31S7P |
SCR_005608 | CRCNS Data sharing, Collaborative Research in Computational Neuroscience - Data sharing, Collaborative Research in Computational Neuroscience, CRCNS - Data sharing | 2026-02-15 09:19:00 | 119 |
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