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http://neuro.imm.dtu.dk/software/brede/

A package for neuroinformatics and neuroimaging analysis mostly programmed in Matlab with a few additional programs in Python and Perl. It allows coordinate-based meta-analysis and visualization, neuroimaging analysis of voxel or regional data - not the original data but rather the summary images (e.g., statistical parametric images) and location data in stereotactic space. Among the algorithms implemented are kernel density estimation (for coordinate-based meta-analysis), independent component analysis, non-negative matrix factorization, k-means clustering, singular value decomposition, partial correlation analysis with permutation testing and partial canonical correlation analysis. Visualization of coordinate, surfaces and volumes are possible in 2D and 3D. Generation of HTML for results are possible and algorithms can be accessed from the command line or via a flexible graphical interface. With the Brede Toolbox comes the Brede Database with a small coordinate database from published neuroimaging studies, and ontologies for, e.g., brain function and brain regions.

Proper citation: Brede Toolbox (RRID:SCR_006204) Copy   

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http://www.medschool.lsuhsc.edu/neuroscience/

Research center that takes multidisciplinary approach to neuroscience education and research. Research programs on molecular and cellular bases of neural diseases are the center of the innovative educational programs. Primary mission is to foster and conduct science that advances understanding of brain function and diseases that affect nervous system.

Proper citation: Louisiana State University School of Medicine Neurosciences Center (RRID:SCR_006446) Copy   

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http://loschmidt.chemi.muni.cz/predictsnp/

Consensus classifier tool that combines six of the top performing tools for the prediction of the effects of mutation on protein function. The obtained results are provided together with annotations extracted from the Protein Mutant Database and the UniProt database. A stand-alone version is also available.

Proper citation: PredictSNP (RRID:SCR_006327) Copy   

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https://www.mdanderson.org/research/departments-labs-institutes/programs-centers/michale-e-keeling-center-for-comparative-medicine-and-research/national-center-for-chimpanzee-care.html

One of only four NCRR-supported centers with the capability to conduct biomedical research in the chimpanzee, it offers chimpanzee-derived cell lines, antibodies and other biological materials, along with a registry of biologic reagents that are known to work in the chimpanzee. The Resource and Management Core is responsible for providing animal resources, tissues/biological fluids, cell lines, expert advice and research support to NIH extramural and intramural programs, other federal agencies and private sponsors. The Resource-Related Research Core conducts research to improve the health of the animals maintained, with special emphasis on studies that will enhance the usefulness of the chimpanzee as a model for studies of human disease. Resource-related research will focus on characterization of the immune system of the chimpanzee, expansion of our understanding of chimpanzee cardiomyopathy as a potential human disease model and comparisons of the physiologic and immunological consequences of research manipulations on chimpanzees trained to voluntarily cooperate with research procedures. By expanding the resources available, conducting resource-related research and containing costs, the CBRR will continue to provide a critically important, highly specialized research resource to address important human health issues.

Proper citation: Chimpanzee Biomedical Research Resource (RRID:SCR_006289) Copy   

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http://www.nkdep.nih.gov/lab-evaluation/gfr-calculators.shtml

Glomerular Filtration Rate (GFR) calculators to estimate kidney function for adults (MDRD GFR Calculator) and children (Schwartz GFR Calculator). In adults, the recommended equation for estimating glomerular filtration rate (GFR) from serum creatinine is the Modification of Diet in Renal Disease (MDRD) Study equation. The IDMS-traceable version of the MDRD Study equation is used. Currently the best equation for estimating glomerular filtration rate (GFR) from serum creatinine in children is the Bedside Schwartz equation for use with creatinine methods with calibration traceable to IDMS. Using the original Schwartz equation with a creatinine value from a method with calibration traceable to IDMS will overestimate GFR.

Proper citation: Glomerular Filtration Rate Calculators (RRID:SCR_006443) Copy   

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http://www.benthamscience.com/open/index.htm

Publish over 230 plus peer-reviewed open access journals. These free-to-view online journals cover all major disciplines of science, technology, medicine and social sciences. Bentham OPEN offers its ''Complimentary Membership'' to International R & D organizations, institutes and universities. This opportunity will entitle authors from different member institutes to a special discount of 30% in the open access publication fee for submission of articles to Bentham OPEN journals. Additionally, input and contributions from associate institutes would also be recognized and a link to their respective Website would be displayed on the Bentham OPEN membership page. The member institution''s logo will also be published on the same page. Bentham Open Membership provides the following advantages: * Possibility to explore 73 distinct disciplines by means of publishing in 239 open access journals. * Free access to all provides prospects of higher citations. * Author(s) own the copyrights to their published articles. * High standard criteria for peer-review. * Unbound right to read, download or print open access articles. * Access to a range of articles in printed form such as short communications, full length research articles, reviews or conference proceedings. * Simple steps from submission to publication, leading to fast turn-around. * Possibility of archiving published articles. The complimentary membership is valid for a span of one year and upon completion of the prescribed period, it is renewed by mutual interest and agreement. If you find the above mentioned details relevant, then kindly contact us via e-mail at membership_at_benthamscience.org or oa_at_benthamscience.org.

Proper citation: Bentham OPEN (RRID:SCR_006202) Copy   

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http://www.nist.gov/index.html

Founded in 1901, NIST (National Institute of Standards and Technology) is a non-regulatory federal agency within the U.S. Department of Commerce. NIST''s mission is to promote U.S. innovation and industrial competitiveness by advancing measurement science, standards, and technology in ways that enhance economic security and improve our quality of life. NIST carries out its mission through the following programs: * the NIST Laboratories, conducting world-class research, often in close collaboration with industry, that advances the nation''s technology infrastructure and helps U.S. companies continually improve products and services; * the Hollings Manufacturing Extension Partnership, a nationwide network of local centers offering technical and business assistance to smaller manufacturers to help them create and retain jobs, increase profits, and save time and money; and * the Baldrige Performance Excellence Program, which promotes performance excellence among U.S. manufacturers, service companies, educational institutions, health care providers, and nonprofit organizations; conducts outreach programs; and manages the annual Malcolm Baldrige National Quality Award which recognizes performance excellence and quality achievement; * From 2007 to 2011, NIST provided cost-shared grants through the Technology Innovation Program, and between 1990 and 2007, it managed the Advanced Technology Program. NIST measurements support the smallest of technologiesnanoscale devices so tiny that tens of thousands can fit on the end of a single human hairto the largest and most complex of human-made creations, from earthquake-resistant skyscrapers to wide-body jetliners to global communication networks. We invite you to explore our web site to learn about our current projects, to find out how you can work with us, or to make use of our products and services. From the smart electric power grid and electronic health records to atomic clocks, advanced nanomaterials, and computer chips, innumerable products and services rely in some way on technology, measurement, and standards provided by the National Institute of Standards and Technology. NIST funds industrial and academic research in a variety of ways. The Small Business Innovation Research Program funds R&D proposals from small businesses. We also offer other grants to encourage work in specific fields: precision measurement, fire research, and materials science. Grants/awards supporting research at industry, academic, and other institutions are available on a competitive basis through several different Institute offices. For general information on NIST grants programs, please contact Christopher Hunton at [email protected] and (301) 975-5718.

Proper citation: NIST - National Institute of Standards and Technology (RRID:SCR_006440) Copy   

•   Source: SciCrunch Registry

http://www.nkdep.nih.gov/lab-evaluation/gfr/creatinine-standardization.shtml

Standard specification to reduce inter-laboratory variation in creatinine assay calibration and therefore enable more accurate estimates of glomerular filtration rate (eGFR). Created by NKDEP''''s Laboratory Working Group in collaboration with the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) and the European Communities Confederation of Clinical Chemistry (now called the European Federation of Clinical Chemistry and Laboratory Medicine), the effort is part of a larger NKDEP initiative to help health care providers better identify and treat chronic kidney disease in order to prevent or delay kidney failure and improve patient outcomes. Recommendations are intended for the USA and other countries or regions that have largely completed standardization of creatinine calibration to be traceable to an isotope dilution mass spectrometry (IDMS) reference measurement procedure. The program''''s focus is to facilitate the sharing of information to assist in vitro diagnostic manufacturers, clinical laboratories, and others in the laboratory community with calibrating their serum creatinine measurement procedures to be traceable to isotope dilution mass spectrometry (IDMS). The program also supports manufacturers'''' efforts to encourage their customers in the laboratory to coordinate use of standardized creatinine methods with implementation of a revised GFR estimating equation appropriate for use with standardized creatinine methods. Communication resources and other information for various segments of the laboratory community are available in the Creatinine Standardization Recommendations section of the website. Also available is a protocol for calibrating creatinine measurements using whole blood devices. The National Institute for Standards and Technology (NIST) released a standard reference material (SRM 967 Creatinine in Frozen Human Serum) for use in establishing calibrations for routine creatinine measurement procedures. SRM 967 was validated to be commutable with native serum samples for many routine creatinine procedures and is useful to establish or verify traceability to an IDMS reference measurement procedure. Establishing calibrations for serum creatinine methods using SRM 967 not only provides a mechanism for ensuring more accurate measurement of serum creatinine, but also enables more accurate estimates of GFR. For clinical laboratories interested in independently checking the calibration supplied by their creatinine reagent suppliers/manufacturers, periodic measurement of NIST SRM 967 should be considered for inclusion in the lab''''s internal quality assurance program. To learn more about SRM 967, including how to purchase it, visit the NIST website, https://www-s.nist.gov/srmors/quickSearch.cfm

Proper citation: Creatinine Standardization Program (RRID:SCR_006441) Copy   

•   Source: SciCrunch Registry

http://aws.amazon.com/datasets

A multidisciplinary repository of public data sets such as the Human Genome and US Census data that can be seamlessly integrated into AWS cloud-based applications. AWS is hosting the public data sets at no charge for the community. Anyone can access these data sets from their Amazon Elastic Compute Cloud (Amazon EC2) instances and start computing on the data within minutes. Users can also leverage the entire AWS ecosystem and easily collaborate with other AWS users. If you have a public domain or non-proprietary data set that you think is useful and interesting to the AWS community, please submit a request and the AWS team will review your submission and get back to you. Typically the data sets in the repository are between 1 GB to 1 TB in size (based on the Amazon EBS volume limit), but they can work with you to host larger data sets as well. You must have the right to make the data freely available.

Proper citation: Amazon Web Services Public Data Sets (RRID:SCR_006318) Copy   

•   Source: SciCrunch Registry

http://www.hopkinsguides.com/

Authoritative, need-to-know information from Johns Hopkins available for mobile devices and the web. Guides provide up to date information and break down details of diagnosis, drug indications, dosing, pharmacokinetics, side effects and interactions, pathogens, management, and vaccines into frequently-updated, quick-read entries. Available for infectious disease (ABX), diabetes, and HIV.

Proper citation: Johns Hopkins Point of Care Guides (RRID:SCR_006314) Copy   

•   Source: SciCrunch Registry

http://genesis-sim.org/

General purpose simulation platform developed to support the simulation of neural systems ranging from subcellular components and biochemical reactions to complex models of single neurons, simulations of large networks, and systems-level models. As such, GENESIS, and its version for parallel and networked computers (PGENESIS) was the first broad scale modeling system in computational biology to encourage modelers to develop and share model features and components. User contributed GENESIS models and simulations are available. You may to contribute a model or simulation. Educational tutorials for instruction in both neurobiology and computational methods have been developed. These tutorials and GENESIS are now being widely used in graduate and undergraduate instruction. These uses include full semester courses in computational neuroscience or neural modeling, short intensive courses or workshops, an option for a course project, and short units on computational neuroscience within courses on artificial neural nets. They also have a repository of user-contributed tutorials and materials for use in neuroscience education. If you have course descriptions, syllabi, exercises, tutorials, or short HOWTO documents, please upload them to Education.

Proper citation: General Neural Simulation System (RRID:SCR_006316) Copy   

•   Source: SciCrunch Registry

http://www.patientcrossroads.com/

A trusted third-party gatekeeper of patient data from participants in a rare disease ecosystem, collecting and managing the information in a scalable, cost-effective manner. Each patient registry provides critical disease knowledge which makes that disease easier to study, increasing the probability a treatment can be developed. PatientCrossroads takes a network approach to patient registry programs. Unlike companies that merely sell registry software, we offer a full range of administration, management, and genetic curation services. What does this consolidated, patient-centric approach to patient registries mean? * Patients can more easily find registries and provide their valuable data (including locations of blood and tissue samples as well as reports of diagnoses, disease symptoms, treatment usage, and lifestyle activities) * Patients can be confident in the privacy of their de-identified data and the knowledge that PatientCrossroads does not sell patient data * Researchers and pharmaceutical companies have a larger, more easily accessible pool of potential patients for research studies and clinical trials targeting specific rare diseases * Pharmaceutical companies can collect post-market surveillance data in a more scalable and cost-effective manner * Rare disease advocacy and research foundations can more easily organize their global patient populations for inclusion in trials and studies

Proper citation: PatientCrossroads (RRID:SCR_006279) Copy   

•   Source: SciCrunch Registry

http://podb.nibb.ac.jp/Organellome/PODBworld/en/

Images and movies of plant organelle dynamics that were obtained from plant research, based on the Plant Organelles Database. This educational tool is written in layman''''s terms to engage members of the non-scientific community such as students and school teachers. Additional content: ''''What happens, if organelle functions become defective '''' was added in anticipation that readers will be interested in this subject. The Scientific Research of Priority Areas on Organelle Differentiation as the Strategy for Environmental Adaptation in Plants was started on 2004 to promote a comprehensive understanding of plant organelle research, and research with plant scientists all over Japan has been conducted for the past five years. The Plant Organelles Database (PODB), which contains images and movies of various plant organelles that were obtained from this project''''s research was constructed but was designed for scientists. ''''The Plant Organelles World'''' was created for the non-scientific community to understand. Plants have developed mechanisms to adapt to the environment, which is different from the mammalian system of adaption. From recent plant research, the small compartments in cells, ''''organelles'''', have been shown to be involved in various responses to environmental changes. The dramatic development of bio-imaging analysis tools such as green fluorescent protein (GFP), which won a Nobel prize for chemistry in 2008, has contributed to recent plant science, because it has become easier to biotechnologically introduce GFP and its derivatives into cells, leading to convenient methods of observing the inside of cells. As a result, we can analyze organelle dynamics and obtain insights related to understanding the way plants live, as well as forming a deeper understanding of organelles.

Proper citation: Plant Organelles World (RRID:SCR_006313) Copy   

•   Source: SciCrunch Registry

http://univ.cns.org/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 19,2021.Designed with the neurosurgeon in mind, this portal contains everything you need to acquire new skills and techniques, including courses, an image database, and the world''s largest neurosurgical wiki reference - NeuroWiki. The new University of Neurosurgery includes: * More than 40 new online courses - in all neurosurgical subspecialties. * Archived webinars. * Lectures from the CNS Annual Meetings. * Neurosurgical image database. We are continuing to add new content - check back often.

Proper citation: Congress of Neurological Surgeons University of Neurosurgery (RRID:SCR_006309) Copy   

•   Source: SciCrunch Registry

https://medicine.iu.edu/pharmacology-toxicology

Mission of Department of Pharmacology and Toxicology is to perform research to advance understanding of interactions of chemicals and drugs with living systems and to assist in development of new therapeutics and strategies to treat disease.

Proper citation: Indiana University School of Medicine Department of Pharmacology and Toxicology (RRID:SCR_006501) Copy   

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http://www.geenivaramu.ee/en/tools/gwama

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software tool for meta analysis of whole genome association data.

Proper citation: GWAMA (RRID:SCR_006624) Copy   

•   Source: SciCrunch Registry

http://www.medschool.lsuhsc.edu/pharmacology/

Department of Pharmacology and Experimental Therapeutics faculty provide professional instruction in schools of Medicine, Dentistry, Nursing, Allied Health and Graduate Studies. Department offers Ph.D. and M.D./Ph.D. degrees and graduate and post doctoral training.

Proper citation: Louisiana State University School of Medicine Health Sciences Center Department of Pharmacology and Experimental Therapeutics (RRID:SCR_006504) Copy   

•   Source: SciCrunch Registry

http://gmd.mpimp-golm.mpg.de/

It facilitates the search for and dissemination of mass spectra from biologically active metabolites quantified using Gas chromatography (GC) coupled to mass spectrometry (MS). Use the Search Page to search for a compound of your interest, using the name, mass, formula, InChI etc. as query input. Additionally, a Library Search service enables the search of user submitted mass spectra within the GMD. In parallel to the library search, a prediction of chemical sub-groups is performed. This approach has reached beta level and a publication is currently under review. Using several sub-group specific Decision Trees (DTs), mass spectra are classified with respect to the presence of the chemical moieties within the linked (unknown) compound. Prediction of functional groups (ms analysis) facilitates the search of metabolites within the GMD by means of user submitted GC-MS spectra consisting of retention index (n-alkanes, if vailable) and mass intensities ratios. In addition, a functional group prediction will help to characterize those metabolites without available reference mass spectra included in the GMD so far. Instead, the unknown metabolite is characterized by predicted presence or absence of functional groups. For power users this functionality presented here is exposed as soap based web services. Functional group prediction of compounds by means of GC-EI-MS spectra using Microsoft analysis service decision trees All currently available trained decision trees and sub-structure predictions provided by the GMD interface. Table describes the functional group, optional use of an RI system, record date of the trained decision tree, number of MSTs with proportion of MSTs linked to metabolites with the functional group present for each tree. Average and standard deviation of the 50-fold CV error, namely the ratio false over correctly sorted MSTs in the trained DT, are listed. The GMD website offers a range of mass spectral reference libraries to academic users which can be downloaded free of charge in various electronic formats. The libraries are constituted by base peak normalized consensus spectra of single analytes and contain masses in the range 70 to 600 amu, while the ubiquitous mass fragments typically generated from compounds carrying a trimethylsilyl-moiety, namely the fragments at m/z 73, 74, 75, 147, 148, and 149, were excluded.

Proper citation: GMD (RRID:SCR_006625) Copy   

•   Source: SciCrunch Registry

http://www.leaddiscovery.co.uk/

LeadDiscovery was founded by life scientists to expedite drug discovery and pharmaceutical development. Based on a solid background of experience from within the pharmaceutical research and development sector, the aim of this resource is to help companies optimize drug discovery and product pipelines through the identification of breaking research and the in depth and expert evaluation of selected therapeutic areas. At the same time it also provides a showcase for pharmaceutical, biotechnology and academic organizations wishing to increase the exposure of their research to the drug development community. LeadDiscovery sits at the center of this sector helping companies to identify commercially viable R&D options from within small biotechs and the public sector. Additionally, it supports the drug discovery and pharmaceutical development community through three key services: DailyUpdates, UpdatesPlus and PharmaReports - DailyUpdates: Launched in 2002 this popular e-mail alert service delivers information on breaking research, new clinical trials, drug development news and recently published market research and pipeline analysis reports. Registration to receive the service is available here - UpdatesPlus: Developed in 2007 as an extension of DailyUpdates, UpdatesPlus provides a monthly in depth analysis of breaking research and development activity in high profile therapeutic areas. - PharmaReports: LeadDiscovery offers a wide range of in depth pharmaceutical reports. It''s reports include market research reports and pipeline analyses. You can search our entire portfolio using LeadDiscovery''s search engine. Alternatively as it are one of the few information providers that has extensive research and development experience, LeadDiscovery occupys a unique position of being able to source reports that accurately meet your needs. If we don''t have a report that fits your requirements, it can produce one through its pharmaceutical consultancy services. LeadDiscovery offers full reports in selected areas of the pharmaceutical and biotech sector. Each of the reports below has been especially selected by LeadDiscovery and categorized into relevant areas: - Oncology - Cancer Immunotherapy - Immunology & Inflammatory Diseases - Infectious Diseases - Psychiatric, Addictive & Sleep Disorders - Pain - Neurodegenerative & Neuroelectrophysiological Disorders - Metabolic & Hormonal Disorders - Cardiovascular Disorders - GenitoUrinary Tract Disorders - Technology - Diagnostics & Devices - Other Theraputic Areas, Pharmaceutical Strategy and Development

Proper citation: LeadDiscovery: Providing Information to the Drug Discovery Sector (RRID:SCR_006464) Copy   

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http://www.pharmacology.ubc.ca/

University of British Columbia Department of Anesthesiology, Pharmacology and Therapeutics is an amalgamation of three very important areas of medicine: anesthesiology, pharmacology, and therapeutics. Although we are a joined department with many common interests, each of the sections named above, bring special areas of expertise and learning to the mix. We welcome your interest in our department and look forward to the recruitment of outstanding anesthesiology residents, pharmacology grad students, anesthesiology fellows, and pharmacology post-graduate students. Information on the residency program and postgraduate programs can be found on the appropriate link. Our department now extends across the Province of British Columbia.

Proper citation: University of British Columbia Department of Pharmacology (RRID:SCR_006466) Copy   

•   Source: SciCrunch Registry