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https://www.xsede.org/

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://www.nsgportal.org/

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   

•   Source: SciCrunch Registry

Ratings or validation data are available for this resource

http://www.bioinformatics.babraham.ac.uk/projects/trim_galore/

Software tool to automate quality and adapter trimming as well as quality control, with some added functionality to remove biased methylation positions for RRBS sequence files for directional, non-directional or paired-end sequencing. Wrapper around Cutadapt and FastQC to consistently apply adapter and quality trimming to FastQ files, with extra functionality for Reduced Representation Bisulfite Sequencing data.

Proper citation: Trim Galore (RRID:SCR_011847) Copy   

•   Source: SciCrunch Registry

http://www.cbrc.jp/htbin/show_tffactor_mw

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 13, 2016.

A dataset about transcriptional regulation in eukaryotic cells, including data such as transcription factors and their binding sites and profiles. Resource is in Chinese.

Proper citation: TFFACTOR (RRID:SCR_000519) Copy   

•   Source: SciCrunch Registry

http://noble.gs.washington.edu/proj/genomedata/

A format for efficient storage of multiple tracks of numeric data anchored to a genome. The format allows fast random access to hundreds of gigabytes of data, while retaining a small disk space footprint. They have also developed utilities to load data into this format. Retrieving data from this format is more than 2900 times faster than a naive approach using wiggle files. A reference implementation in Python and C components is available here under the GNU General Public License. The software has only been tested on Linux and Mac systems.

Proper citation: Genomedata (RRID:SCR_004544) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

https://education.musc.edu/colleges/medicine/departments/pharmacology/redox-center/cores/bioenergetics-profiling-core

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   

•   Source: SciCrunch Registry

https://core.bioinformatics.udel.edu

CBCB Bioinformatics Data Science Core builds upon infrastructure of the Center for Bioinformatics and Computational Biology. Delaware Biotechnology Institute , Delaware Data Science Institute, and Protein Information Resource. Core helps with planning your research or analyzing your current data. Services:Consultation and Collaboration, Proposal Assistance,Training, Bioinformatics Software, Computational Hardware, Database and Web Services, Next Gen Analysis, Custom Analysis.

Proper citation: University of Delaware CBCB Bioinformatics Data Science Core Facility (RRID:SCR_017696) Copy   

•   Source: SciCrunch Registry

https://www.albany.edu/repr/

Resource offers range of mass spectrometry instrumentation, expertise in analysis of RNA, RNA modifications, and proteins involved in RNA metabolism/regulation, supports projects involving analysis of biomolecules, metabolites, and small synthetic molecules, provides consulting on experimental design, sample preparation and data interpretation, whole project development and grant writing contributions.

Proper citation: Albany University RNA Epitranscriptomics and Proteomics Resource Core Facility (RRID:SCR_017695) Copy   

•   Source: SciCrunch Registry

https://crc.ibest.uidaho.edu/

Provides evolutionary and computational biology investigators with computing and large data storage capacity for use in analyzing and managing large volumes of research data. Core contains advanced mix of high performance computing clusters, servers and data storage components, knowledge and technical skills required to compress years of analysis into days.

Proper citation: Idaho University IBEST Computational Resources Core Facility (RRID:SCR_017734) Copy   

•   Source: SciCrunch Registry

https://sdrc.stanford.edu/sdrc-research-cores/dctc/home/

With the following services from the Diabetes Clinical and Translational Core (DCTC), members will receive training in biospecimen preservation, study design, data analysis, data management, use of statistical software and clinical trial conduct.

Proper citation: Stanford Diabetes Research Center Diabetes Clinical and Translational Core (RRID:SCR_016212) Copy   

•   Source: SciCrunch Registry

https://sdrc.stanford.edu/sdrc-research-cores/dimc/home/

Core facility that provides immune monitoring assays at the RNA, protein, and cellular level, as well as archiving, reporting, and data mining support for clinical and translational studies related to Diabetes. The DIMC is a specialized subcore of the Human Immune Monitoring Center (HIMC) at Stanford.

Proper citation: Stanford Diabetes Research Center Diabetes Immune Monitoring Core (RRID:SCR_016210) Copy   

•   Source: SciCrunch Registry

https://voices.uchicago.edu/ucflow/

Core offers services in cytometry and antibody technology, helps to design projects, data acquisition, analysis and/or interpretation beyond routine practices,critical drafting and/or revision of manuscript for intellectual content purposes.

Proper citation: Chicago University Cytometry and Antibody Technology Core Facility (RRID:SCR_017760) Copy   

•   Source: SciCrunch Registry

http://cmac.concordia.ca/

Services include advise on microscope to use for research project, image acquisition, optimization image analysis and sample preparation, free of charge access to 500GB per laboratory on CMCI server in order to store data for project. Facility houses four wide-field, near-field (TIRF), three confocal (swept-field and laser-scanning) microscopes and laser capture microdissection system.

Proper citation: Concordia University Center for Microscopy and Cellular Imaging Core Facility (RRID:SCR_017804) Copy   

•   Source: SciCrunch Registry

http://mgm.ku.edu/services

Research oriented service laboratory providing informatics support to research community. Services include data analysis and mining in proteomics, genomics and chemistry, systems biology approaches such as pathway, network and interaction analyses, large scale statistical and machine learning studies, protein structure, function and stability prediction, sequence and domain analyses,d esign and implementation of relational databases and software programs, consultation on experimental design involving data acquisition, management and analysis, report, grant, and manuscript preparation.

Proper citation: Kansas University at Lawrence Applied Bioinformatics Laboratory Core Facility (RRID:SCR_017751) Copy   

•   Source: SciCrunch Registry

https://www.med.unc.edu/csb/mx/

Core provides support and infrastructure necessary to initiate and successfully complete structural biology or structural chemistry project. Offers services in Crystallization,X-Ray DiffractionData Collection,Structure Determination and Refinement.

Proper citation: North Carolina University at Chapel Hill School of Medicine Macromolecular X-Ray Crystallography Core Facility (RRID:SCR_017839) Copy   

•   Source: SciCrunch Registry

http://hihg.med.miami.edu/cgt/genotyping

Core provides services in analyzing genetic variation, performing genome-wide association studies, conducting non-human genotyping. Offers flexible platforms from low to high throughput, tailored to research needs. Specializes in Illumina Genotyping Arrays and TaqMan Allelic Discrimination Assays, with fully automated processing using Tecan EVOs and BioMek liquid handlers and Genologics LIMS for reliable data tracking.Applications include: GWAS – Identify genetic variants linked to traits and diseases; PRS Analysis – Assess genetic risk for complex diseases; Pharmacogenomics – Study genetic factors in drug response; Population Genetics – Explore ancestry and genetic diversity; CNV Analysis – Detect large-scale genomic variations; Methylation Analysis.

Proper citation: University of Miami Hussman Institute for Human Genomics Genotyping Core Facility (RRID:SCR_017820) Copy   

•   Source: SciCrunch Registry

http://www.scripps.edu/florida/technologies/flowcytometry/index.html

Flow cytometry core to measure phenotypic, biochemical and molecular characteristics of individual cells or particles suspended in fluid stream.Flow Cytometry Core on Jupiter, Florida campus of Scripps Research provides services including Cell Sorting, Analytical Cytometry,Data Analysis,Microdissection and Imaging. Hematology services including:Cell Sorting on ARIA: violet, blue, green and red lasers and on FUSION: violet, blue, green and red lasers; Cell Analysis on LSR2: ultra-violet, violet, blue, green and red lasers, GALLIOS: violet, blue, green and red lasers,CANTO: violet, blue and red lasers;Laser Microdissection and Fluorescence Imaging using LEICA LMD 7000;Hematology using HEMAVET 950FS.

Proper citation: Scripps Research Institute - Florida Flow Cytometry Core Facility (RRID:SCR_017830) Copy   

•   Source: SciCrunch Registry

https://bioinformaticscore.unl.edu/bioinformatics-core-nebraska-center-virology

Facility is equipped with high performance computers, bioinformatics related software, biological databases, and data storage. Provides bioinformatics and computational services in virology, molecular biology, genomics, proteomics, next generation high throughput sequencing, and other biological related fields. For special requirements, can design and develop new algorithms, and implement programs and customize data processing pipelines. Core promotes education in bioinformatics to students and researchers, develops and delivers training material, including workshops that facilitate practical application of bioinformatics knowledge by students, postdoctoral fellows, and faculties in NCV community.

Proper citation: Nebraska-Lincoln University Center for Virology Bioinformatics Core Facility (RRID:SCR_017793) Copy   

•   Source: SciCrunch Registry