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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

http://www.lgfus.ca

Provides system for Splicing isoform Annotation. This LISA platform allows high throughput annotation and functional analysis of Alternate Splicing in humans.

Proper citation: Quebeck Sherbrooke University Genomic Core Facility (RRID:SCR_017785) Copy   

•   Source: SciCrunch Registry

https://ipsc.bsd.uchicago.edu/

Core provides training to use latest episomal techniques to reprogram, expand and characterize human and mice iPS cells from skin or blood tissues of healthy subjects and diseased patients. Develops capability to differentiate iPS cells into specific somatic cells, such as neutrons, cardiomyocytes, and hepatocytes.

Proper citation: Chicago University iPSC Core Facility (RRID:SCR_017918) Copy   

•   Source: SciCrunch Registry

https://ki.mit.edu/sbc/escell

Core provides service support to all MIT investigators who utilize specialized in vitro cells such as stem cells, organoids, or primary cell lines and/or novel mouse models to study human diseases such as cancer. Projects involve generation of new model system, such as CRISPR-mediated gene editing in mouse to introduce mutation that mimics one found in patients. Helps with projects required optimization of finicky cell cultures and other challenges.Provides customizable set of service options to match specific needs of each project, including consultative advice and troubleshooting, complete tissue culture and microinjection services within our facilities or hands-on training to enable investigators to perfom these experiments either at their own laboratory or within our facilities.Services Include:Gene Targeting genomic modification through traditional or CRISPR/Cas9 locus targeting, assistance with targeting strategies and vector designs;Embryonic Stem Cells generation of new ES lines from mouse strains, importation and testing of lines from outside sources, differentiation of ES lines into specific cell lineages or cell types and more;Microinjection injection of mouse ES cells into blastocysts to generate chimeras and injection of DNA, RNA or CRISPR RNPs into the pronucleus of fertilized mouse eggs to generate transgenic and edited mice;Specialized Tissue Culture establishemnt of new primary cell cultures from a tumor, tissue or organ; Isolation of fibroblasts (MEFs) from mice for culture and analysis;Tissue Culture for Xenograft and Syngenic Modeling optimization, validation and testing of cell lines for orthotopic placement into mice, coordinated with Preclinical Testing Facility;Repository of Reagent Mice Commonly used wild type mice such as C57BL/6j as well as KrasG12D-based models of cancers are maintained on campus for efficient distrubution;Training and Troubleshooting for all aspects of embryonic stem cells, primary cultures, animal breeding etc.;Serum, DMEM, LIF and other media components that have been tested and verified for use with ES cells.

Proper citation: Massachusetts Institute of Technology Koch Institute Preclinical Modeling Core Facility (RRID:SCR_017899) Copy   

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http://www.cti.northwestern.edu/

Core is Northwestern Radiology research facility providing translational imaging capabilities that promote pre-clinical and clinical research efforts. CTI occupies space in basement of Olson building housing imaging equipment along with research staff. Services include Cardiovascular Imaging for development, analysis and application of MRI methods providing insights into structure and function of cardiovascular system,NeuroImaging for functional MRI using spectroscopy and diffusion-weighted imaging to studying human anatomy and physiology during development and disease,Small Animal Imaging for molecular and functional imaging of biological processes in living animal models to study diseases and responses to intervention.

Proper citation: Northwestern University Center for Translational Imaging Core Facility (RRID:SCR_017878) Copy   

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http://www.emcdda.europa.eu/eib

The EIB provides assessment tests for substance disorder related clinical instruments that are freely available. Details regarding copyright and/or possible use restrictions are specified for each instrument. Instruments are generally classed according to the intervention field they are designed to be used in (treatment, prevention, or harm reduction), though some instruments may be usable in more than one field.

Proper citation: Evaluation Instruments Bank (RRID:SCR_013246) Copy   

•   Source: SciCrunch Registry

https://github.com/dorianps/LESYMAP

Software R package to conduct lesion-to-symptom mapping from human MRI data.Takes lesion maps and cognitive performance scores from patients with stroke, and maps brain areas responsible for cognitive deficit.

Proper citation: LESYMAP (RRID:SCR_017967) Copy   

•   Source: SciCrunch Registry

http://ww2.sanbi.ac.za/Dbases.html

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The STACKdb is knowledgebase generated by processing EST and mRNA sequences obtained from GenBank through a pipeline consisting of masking, clustering, alignment and variation analysis steps. The STACK project aims to generate a comprehensive representation of the sequence of each of the expressed genes in the human genome by extensive processing of gene fragments to make accurate alignments, highlight diversity and provide a carefully joined set of consensus sequences for each gene. The STACK project is comprised of the STACKdb human gene index, a database of virtual human transcripts, as well as stackPACK, the tools used to create the database. STACKdb is organized into 15 tissue-based categories and one disease category. STACK is a tool for detection and visualization of expressed transcript variation in the context of developmental and pathological states. The data system organizes and reconstructs human transcripts from available public data in the context of expression state. The expression state of a transcript can include developmental state, pathological association, site of expression and isoform of expressed transcript. STACK consensus transcripts are reconstructed from clusters that capture and reflect the growing evidence of transcript diversity. The comprehensive capture of transcript variants is achieved by the use of a novel clustering approach that is tolerant of sub-sequence diversity and does not rely on pairwise alignment. This is in contrast with other gene indexing projects. STACK is generated at least four times a year and represents the exhaustive processing of all publicly available human EST data extracted from GenBank. This processed information can be explored through 15 tissue-specific categories, a disease-related category and a whole-body index

Proper citation: Sequence Tag Alignment and Consensus Knowledgebase Database (RRID:SCR_002156) Copy   

•   Source: SciCrunch Registry

http://www.ibiblio.org/dnam/mainpage.html

This site provides access to mutation databases and software including the human hprt database, Human p53 database, Transgenic lacZ database, and Transgenic lacI database. Other avaialble programs include Mutational spectra comparison and relational database data entry. The most recent hprt database contains information on over 2,300 mutations found in vivo and in vitro in the human hprt gene and runs under Windows. The version for evaluation on this homepage has fewer mutations and is a DOS program. The database contains information on the mutagen, dose, spontaneous and induced mutant fraction, base position, amino acid position, amino acid change, local DNA sequence, cell type, citation, and other items. In addition, information regarding the cause and effect of mutations affecting splicing is given. Routines have been developed for the analysis of single base substitutions. The p53 database contains information on nearly 5,867 mutations found in the human p53 gene. The database itself has been updated in April of 1997. The database contains information on the cancer type, loss of heterozygosity, base position, amino acid position, amino acid change, local DNA sequence,citation, and other items. Routines have been developed for the analysis of single base substitutions. The Transgenic lacZ database contains information on 405 mutations found in vivo in the transgenic lacZ gene. It has last been updated in January of 1998. It provides information on the mutagen, dose, organ, mutant fraction, base position, amino acid position, amino acid change, local DNA sequence, citation, and other items. The Transgenic lacI database contains information on over 1700 mutations found in vivo in the transgenic lacI gene and on nearly 8000 mutations in the lacI gene in native E. coli. The database was updated in January 1998. The database contains information on the mutagen, dose, organ, mutant fraction, base position, amino acid position, amino acid change, local DNA sequence, citation, and other items. Routines have been developed for the analysis of single base substitutions for each of the databases. The software runs only on IBM-compatible PCs.

Proper citation: Neal's DNA Mutation Site (RRID:SCR_002947) Copy   

•   Source: SciCrunch Registry

http://www.patika.org/

The human pathway database which contains different biological entities and reactions and software tools for analysis. PATIKA Database integrates data from several sources, including Entrez Gene, UniProt, PubChem, GO, IntAct, HPRD, and Reactome. Users can query and access this data using the PATIKAweb query interface. Users can also save their results in XML or export to common picture formats. The BioPAX and SBML exporters can be used as part of this Web service.

Proper citation: Pathway Analysis Tool for Integration and Knowledge Acquisition (RRID:SCR_002100) Copy   

•   Source: SciCrunch Registry

http://www.loni.ucla.edu/~thompson/thompson.html

The UCLA laboratory of neuroimaging is working in several areas to enhance knowledge of anatomy, including brain mapping in large human populations, HIV, Schizophrenia, methamphetamine, tumor growth and 4d brain mapping, genetics and detection of abnormalities.

Proper citation: University of California at Los Angeles, School of Medicine: Neuro Imaging Lab of Thompson (RRID:SCR_001924) Copy   

•   Source: SciCrunch Registry

http://humanconnectome.org/connectome/connectomeDB.html

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.

Proper citation: ConnectomeDB (RRID:SCR_004830) Copy   

•   Source: SciCrunch Registry

http://www.nimh.nih.gov/news/media/audio/index.shtml

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. Audio and video available from the National Institute of Mental Health (NIMH).

Proper citation: NIMH Multimedia (RRID:SCR_005467) Copy   

•   Source: SciCrunch Registry

http://dels.nas.edu/ilar

The mission of ILAR is to evaluate and disseminate information on issues related to the scientific, technological, and ethical use of animals and related biological resources in research, testing, and education. Using the principles of refinement, reduction, and replacement (3Rs) as a foundation, ILAR promotes high-quality science through the humane care and use of animals and the implementation of alternatives. Through the reports of expert committees, the ILAR Journal, web-based resources, and other means of communication, ILAR functions as a component of the National Academies to provide independent, objective advice to the federal government, the international biomedical research community, and the public. ILAR supports the responsible use of animals in research, testing, and education as a key component to advancing the health and quality of life of humans and animals. It promotes high-quality science and humane care and use of research animals based upon the principles of refinement, replacement, and reduction (the 3Rs) and high ethical standards. It fosters best practices that enhance human and animal welfare by organizing and disseminating information and by facilitating dialogue among interested parties. It has developed a unique Search Engine to search for animal models and strains. This search engine surveys all the websites of vendors and repositories of laboratory animals and biological material on our Links page. The ILAR develops guidelines on laboratory animal care and use and conducts conferences, symposia, and workshops on important laboratory animal problems. ILAR publishes the ILAR Journal on a quarterly basis, as well as conference proceedings and special reports prepared by committees of experts. A list of ILAR publications on issues related to laboratory animal research is available on the Web site. As part of the Animal Models and Genetic Stocks Information Exchange Program, ILAR staff members answer direct telephone and mail inquiries and maintain a Web page containing a database on animal models and genetic stock. The Web site also offers a comprehensive search engine that enables users to find information on the existence and location of special animal models, correct nomenclature to identify animals, and related topics such as diseases of animals and relevant publications. Sponsors: ILAR receives funding from the following sponsors: -Abbott Laboratories -Abbott Fund -American College of Laboratory Animal Medicine (ACLAM) -American Society of Laboratory Animal Practitioners (ASLAP) -Association for Assessment and Accreditation of Laboratory Animal Care (AAALAC) -Bristol-Myers Squibb Co. -Charles River -Charles River Laboratories Foundation -Covance -Federation of American Societies for Experimental Biology (FASEB) -GlaxoSmithKline -Merck & Co., Inc. -National Science Foundation (NSF) -Pfizer -Scientists Center for Animal Welfare (SCAW) -U.S. Department of Agriculture (USDA) -U.S. Department of the Army -U.S. Department of Health and Human Services (DHHS) :*National Institutes of Health (NIH) :*Office of Research Integrity (ORI) -U.S. Department of the Navy -U.S. Department of Veterans Affairs -Wellcome Trust -Wyeth Pharmaceuticals

Proper citation: Institute for Laboratory Animal Research (RRID:SCR_006872) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

https://www.amazon.com/How-Brain-Works-Mark-Dubin/dp/0632044411

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. Is the Brain (Like) a Computer is an e-book written by Prof. Mark Dubin. It consists of the following: Introduction. Why do we consider the relationship of brains and computers and what does this have to do with consciousness? What's a Brain Made Of? A thought experiment. Test Drive a Turing Machine. A theoretical approach. Interim Summary. Many of the main pages have links to additional information. When you click on one of those links a NEW page will open ON TOP of the page you are clicking from. This convention is adopted so that you can look at the additional information and then easily return to the main page you got there from.

Proper citation: Is the Brain (Like) a Computer (RRID:SCR_008809) Copy   

•   Source: SciCrunch Registry

http://rarediseases.info.nih.gov/GARD/Default.aspx

Genetic and Rare Diseases Information Center (GARD) is a collaborative effort of two agencies of the National Institutes of Health, The Office of Rare Diseases Research (ORDR) and the National Human Genome Research Institute (NHGRI) to help people find useful information about genetic conditions and rare diseases. GARD provides timely access to experienced information specialists who can furnish current and accurate information about genetic and rare diseases. So far, GARD has responded to 27,635 inquiries on about 7,147 rare and genetic diseases. Requests come not only from patients and their families, but also from physicians, nurses and other health-care professionals. GARD also has proved useful to genetic counselors, occupational and physical therapists, social workers, and teachers who work with people with a genetic or rare disease. Even scientists who are studying a genetic or rare disease and who need information for their research have contacted GARD, as have people who are taking part in a clinical study. Community leaders looking to help people find resources for those with genetic or rare diseases and advocacy groups who want up-to-date disease information for their members have contacted GARD. And members of the media who are writing stories about genetic or rare diseases have found the information GARD has on hand useful, accurate and complete. GARD has information on: :- What is known about a genetic or rare disease. :- What research studies are being conducted. :- What genetic testing and genetic services are available. :- Which advocacy groups to contact for a specific genetic or rare disease. :- What has been written recently about a genetic or rare disease in medical journals. GARD information specialists get their information from: :- NIH resources. :- Medical textbooks. :- Journal articles. :- Web sites. :- Advocacy groups, and their literature and services. :- Medical databases.

Proper citation: Genetic and Rare Diseases Information Center (RRID:SCR_008695) Copy   

•   Source: SciCrunch Registry

https://www.crukscotlandinstitute.ac.uk/advanced-technologies/molecular-technology.html

Core provides Next Generation Sequencing (NGS) services and Single Cell services predominantly focussing on single cell RNAseq. Processes samples for variety of cancer associated projects, in both mouse and human derived materials. Offers full end-to-end service, from initial study design and planning, through sample QC, full library preparation, sequencing and data return. Offers range of standard molecular tests covering, plasmid purifications, Sanger sequencing and mycoplasma screening.

Proper citation: Cancer Research UK Scotland Institute Molecular Technology Service Core Facility (RRID:SCR_027368) Copy   

•   Source: SciCrunch Registry

https://marmotgraph.org

Knowledge graph system developed for managing and organizing rich metadata objects, initially for the Human Brain Project (HBP) and now extended to be a more generic, domain-agnostic solution. It is associated with CSCS (Swiss National Supercomputing Centre) and aims to provide a comprehensive toolset and API for working with knowledge graphs.

Proper citation: MarmotGraph (RRID:SCR_027452) Copy   

•   Source: SciCrunch Registry

http://fcon_1000.projects.nitrc.org/fcpClassic/FcpTable.html

1200+ ''resting state'' functional MRI (R-fMRI) datasets independently collected at 33 sites and donated by the principal investigators for the purpose of providing the broader imaging community complete access to a large-scale functional imaging dataset. Age, sex and imaging center information are provided for each of the datasets. In accordance with HIPAA guidelines, all datasets are anonymous, with no protected health information included. We anticipate this data-sharing effort will equip researchers with a means of exploring and refining R-fMRI approaches, and facilitate the growing ethos of sharing and collaboration. Disclaimer: The ''1000 Functional Connectomes Project'' datasets are provided freely without assurance of quality or appropriateness for usage.

Proper citation: FCP Classic Data Sharing Samples (RRID:SCR_005362) Copy   

•   Source: SciCrunch Registry