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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.
Core provides light microscopy instrumentation, microscopy training and education and can provide assistance with experiment design, data acquisition, and image analysis. Provides training for users.Services include:Fluorescence imaging (up to 5 colors) Brightfield, phase contrast, and DIC imaging;High speed imaging (over 100 frames per second);Automated imaging, including multiwell plates;Super-resolution imaging (SIM / STORM / PALM);Single molecule imaging;3D confocal imaging;Gigapixel image stitching;Live cell time lapse imaging;Photoactivation and photobleaching;Light sheet imaging of cleared tissues.
Proper citation: University of California at San Francisco, Nikon Imaging Center Core Facility (RRID:SCR_017862) Copy
https://www.biotech.iastate.edu/metabolomics/
Core facility that conducts fee for service mass spectrometry-based non-targeted and targeted metabolomic studies. The facility serves and partners with both on- and off-campus clients.
Proper citation: Iowa State University W.M. Keck Metabolomics Research Laboratory Core Facility (RRID:SCR_017911) Copy
https://www.igb.illinois.edu/corefacilities
Core for biological microscopy and image analysis. Offers high-end equipment,user training,ongoing support, including experiment design and data interpretation,twenty-four hour access Services,3D Printing, Transfer Files, Image Analysis,Histology,Instrument Training.
Proper citation: University of Illinois at Urbana-Champaign Core Facilities at IGB (RRID:SCR_017938) Copy
https://www.preventivemedicine.northwestern.edu/divisions/biostatistics/
Core where division members engage in statistical methods development and application, research design and statistical computing for health science research. Faculty interests encompass Bayesian methods, bioinformatics, causal inference, computational biology, clinical trials, diagnostic testing, longitudinal modeling, missing data modeling, observational data methods, semi-parametric models, spatial modeling, statistical genetics and survival analysis.
Proper citation: Northwestern University Biostatistics Collaborative Center (RRID:SCR_017943) Copy
https://bioconductor.org/packages/FlowSorted.Blood.450k/
Illumina HumanMethylation data on sorted blood cell populations.
Proper citation: FlowSorted.Blood.450k R package (RRID:SCR_018003) Copy
Core provides several technologies that enable researchers to quantify fluxes of these metabolic reactions in cells, tissues, organoids and small animal models such as zebrafish embryos and nematodes.Technologies include high resolution respirometry using XF technology from Seahorse Biosciences/Agilent. Instrumentation utilizes 96-well microplates to provide sufficient sample numbers to provide flux profiles of glycolysis, mitochondrial respiration, fatty acid oxidation, glutamine utilization and other related metabolic processes. Rapid, high-throughput imaging optimized to XF plate architecture provides normalization of cell/tissue numbers, health, and other.Provides training, data analyses support and aid in experimental design.
Proper citation: South Carolina Medical University Bioenergetics Profiling Core Facility (RRID:SCR_017953) Copy
This page contains the Influenza Surveillance Report during 2008-2009 Influenza Season Week 15, ending April 18, 2009.
Proper citation: FluView: A Weekly Influenza Surveillance Report (RRID:SCR_001118) Copy
http://www.duke.edu/web/gpcr-assay/index.html
Describes data from and access to permanent cell lines containing beta-arrestin fluorescent protein biosensors. This assay Bank provides plasmids, cells lines, and resulting data to the NIDA/NIH funded research community in order to better understand and combat addiction.
Proper citation: Addiction Research GPCR Assay Bank (RRID:SCR_002895) Copy
http://sleep.alleninstitute.org
Collection of gene expression data in mouse brain for five different conditions of sleep and wakefulness to understand sleep deprivation and dynamic changes underlying sleep and wake cycles. Platform to generate cellular resolution expression data.
Proper citation: Allen Institute for Brain Science Sleep Study (RRID:SCR_002983) Copy
http://www.nih.gov/science/brain/
Project aimed at revolutionizing understanding of human brain, to show how individual cells and complex neural circuits interact, enable rapid progress in development of new technologies and data analysis tools to treat and prevent brain disorders. BRAIN Initiative encourages collaborations between neurobiologists and scientists from disciplines such as statistics, physics, mathematics, engineering, and computer and information sciences. Institutes and centers contributing to NIH BRAIN Initiative support those research efforts.
Proper citation: BRAIN Initiative (RRID:SCR_006770) Copy
XSEDE is a single virtual system that scientists can use to interactively share computing resources, data and expertise. People around the world use these resources and services things like supercomputers, collections of data and new tools to improve our planet. XSEDE resources may be broadly categorized as follows: High Performance Computing, High Throughput Computing, Visualization, Storage, and Data Services. Many resources provide overlapping functionality across categories. Scientists, engineers, social scientists, and humanists around the world - many of them at colleges and universities - use advanced digital resources and services every day. Things like supercomputers, collections of data, and new tools are critical to the success of those researchers, who use them to make our lives healthier, safer, and better. XSEDE integrates these resources and services, makes them easier to use, and helps more people use them. XSEDE supports 16 supercomputers and high-end visualization and data analysis resources across the country. Digital services, meanwhile, provide users with seamless integration to NSF''s high-performance computing and data resources. XSEDE''s integrated, comprehensive suite of advanced digital services will federate with other high-end facilities and with campus-based resources, serving as the foundation for a national cyberinfrastructure ecosystem. Common authentication and trust mechanisms, global namespace and filesystems, remote job submission and monitoring, and file transfer services are examples of XSEDE''s advanced digital services. XSEDE''s standards-based architecture allows open development for future digital services and enhancements. XSEDE also provides the expertise to ensure that researchers can make the most of the supercomputers and tools.
Proper citation: XSEDE - Extreme Science and Engineering Discovery Environment (RRID:SCR_006091) Copy
http://www.ncbi.nlm.nih.gov/guide/sitemap/
The National Center for Biotechnology Information''s listing of resources. Sort by alphabetical character, Databases, Downloads, Submissions, Tools and How-To; or by Topic: Chemicals & Bioassays; Data & Software; DNA & RNA; Domains & Structures; Genes & Expression; Genetics & Medicine; Genomes & Maps; Homology; Literature; Proteins; Sequence Analysis; Taxonomy; Training & Tutorials; Variation.
Proper citation: NCBI Resource List (RRID:SCR_005628) Copy
Web portal that allows free access to supercomputing resources for large scale modeling and data processing. Portal facilitates access and use of National Science Foundation (NSF) High Performance Computing (HPC) resources by neuroscientists.
Proper citation: Neuroscience Gateway (RRID:SCR_008915) Copy
https://www.ncbi.nlm.nih.gov/geo/
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.
Proper citation: Gene Expression Omnibus (GEO) (RRID:SCR_005012) Copy
Seattle based independent, nonprofit medical research organization dedicated to accelerating the understanding of how human brain works. Provides free data and tools to researchers and educators and variety of unique online public resources for exploring the nervous system. Integrates gene expression data and neuroanatomy, along with data search and viewing tools, these resources are openly accessible via the Allen Brain Atlas data portal. Provides Allen Mouse Brain, Allen Spinal Cord Atlas, Allen Developing Mouse Brain Atlas, Allen Human Brain Atlas,Allen Mouse Brain Connectivity Atlas, Allen Cell Type Database, The Ivy Glioblastoma Atlas Project (Ivy GAP), The BrainSpan Atlas of the Developing Human Brain.
Proper citation: Allen Institute for Brain Science (RRID:SCR_006491) Copy
Issue
Software package for analysis of brain imaging data sequences. Sequences can be a series of images from different cohorts, or time-series from same subject. Current release is designed for analysis of fMRI, PET, SPECT, EEG and MEG.
Proper citation: SPM (RRID:SCR_007037) Copy
http://harvester.fzk.de/harvester/
Harvester is a Web-based tool that bulk-collects bioinformatic data on human proteins from various databases and prediction servers. It is a meta search engine for gene and protein information. It searches 16 major databases and prediction servers and combines the results on pregenerated HTML pages. In this way Harvester can provide comprehensive gene-protein information from different servers in a convenient and fast manner. As full text meta search engine, similar to Google trade mark, Harvester allows screening of the whole genome proteome for current protein functions and predictions in a few seconds. With Harvester it is now possible to compare and check the quality of different database entries and prediction algorithms on a single page. Sponsors: This work has been supported by the BMBF with grants 01GR0101 and 01KW0013.
Proper citation: Bioinformatic Harvester IV (beta) at Karlsruhe Institute of Technology (RRID:SCR_008017) Copy
Site for collection and distribution of clinical data related to genetic analysis of drug abuse phenotypes. Anonymous data on family structure, age, sex, clinical status, and diagnosis, DNA samples and cell line cultures, and data derived from genotyping and other genetic analyses of these clinical data and biomaterials, are distributed to qualified researchers studying genetics of mental disorders and other complex diseases at recognized biomedical research facilities. Phenotypic and Genetic data will be made available to general public on release dates through distribution mechanisms specified on website.
Proper citation: National Institute on Drug Abuse Center for Genetic Studies (RRID:SCR_013061) Copy
https://www.embrys.jp/embrys/html/About.html
Data collection of gene expression patterns mapped in whole-mount mouse embryo (ICR strain) of mid-gestational stages (Embryonic Day 9.5, 10.5, 11.5), in which most striking dynamics in pattern formation and organogenesis is observed. Collection of gene expression patterns of transcription factors (TFs) and TF-related factors such as transcription cofactors. Genes were extracted from databases including RIKEN Transcription Factor Database and Panther Classification System.
Proper citation: EMBRYS (RRID:SCR_006689) Copy
Project aimed at making neuroimaging data sets of brain freely available to scientific community. By compiling and freely distributing neuroimaging data sets, future discoveries in basic and clinical neuroscience are facilitated.
Proper citation: Open Access Series of Imaging Studies (RRID:SCR_007385) Copy
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