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http://www.equitech-bio.com/

Provides animal and human serums, plasmas, purified proteins, and antisera.

Proper citation: Equitech-Bio (RRID:SCR_003548) Copy   

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http://www.cau.edu.cn/cie/en/

Proper citation: China Agricultural University; Beijing; China (RRID:SCR_003426) Copy   

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http://neurofitter.sourceforge.net

Neurofitter is software for parameter tuning of electrophysiological neuron models. It automatically searches for sets of parameters of neuron models that best fit available experimental data, and therefore acts as an interface between neuron simulators, like Neuron or Genesis, and optimization algorithms, like Particle Swarm Optimization, Evolutionary Strategies, etc.

Proper citation: Neurofitter (RRID:SCR_005843) Copy   

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http://fcon_1000.projects.nitrc.org/indi/pro/Quiron-Valencia.html

Resting state datasets, including an anatomical as well as a resting state fMRI scan, collected from a community sample in Valencia, Spain. The first release includes data for 45 participants. Participants were instructed to keep their eyes open during the resting state scan, no visual stimulus was presented. The following data are released for every participant: * Scanner Type: Philips Achieva 3T-TX * One high-resolution T1-weighted mprage, defaced to protect patient confidentiality * At least one 6-minute resting state fMRI scan (R-fMRI), eyes open, no visual stimulus presented * Demographic Information

Proper citation: Quiron-Valencia Sample (RRID:SCR_003538) Copy   

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http://clinicaltrials.gov/ct2/show/study/NCT00248638

Multi-center, double-blind, placebo-controlled, intent-to-treat Phase III trial, designed to determine the effect of parenteral glutamine (GLN) dipeptide on important clinical outcomes in patients requiring surgical intensive care unit (SICU) care and parenteral nutrition (PN) after cardiac, vascular, or intestinal surgery. Patients who required PN and SICU care will receive either standard glutamine (GLN)-free PN (STD-PN) or isocaloric, isonitrogenous alanyl-glutamine dipeptide (AG)-PN until enteral feedings are established. The study will determine whether AG-PN decreases hospital mortality, nosocomial infection and other important indices of morbidity and will obtain mechanistically relevant observational data in the subjects on whether AG-PN a) increases serial blood concentrations of glutathione (GSH), heat shock proteins (HSP)-70 and -27, and glutamine; b) decreases the serum presence of the bacterial products flagellin and lipopolysaccharide (LPS) and the adaptive immune response to these mediators; and c) improves key indices of innate and adaptive immunity.

Proper citation: Efficacy and Mechanisms of Glutamine Dipeptide in the Surgical Intensive Care Unit (RRID:SCR_006806) Copy   

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http://www.linked-neuron-data.org/

Neuroscience data and knowledge from multiple scales and multiple data sources that has been extracted, linked, and organized to support comprehensive understanding of the brain. The core is the CAS Brain Knowledge base, a very large scale brain knowledge base based on automatic knowledge extraction and integration from various data and knowledge sources. The LND platform provides services for neuron data and knowledge extraction, representation, integration, visualization, semantic search and reasoning over the linked neuron data. Currently, LND extracts and integrates semantic data and knowledge from the following resources: PubMed, INCF-CUMBO, Allen Reference Atlas, NIF, NeuroLex, MeSH, DBPedia/Wikipedia, etc.

Proper citation: Linked Neuron Data (RRID:SCR_003658) Copy   

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http://diabetes.niddk.nih.gov/dm/pubs/control/index.aspx

Clinical study that showed that keeping blood glucose levels as close to normal as possible slows the onset and progression of eye, kidney, and nerve diseases caused by diabetes. EDIC is a follow-up study of people who participated in DCCT. The DCCT involved 1,441 volunteers, ages 13 to 39, with type 1 diabetes and 29 medical centers in the United States and Canada. Volunteers had to have had diabetes for at least 1 year but no longer than 15 years. They also were required to have no, or only early signs of, diabetic eye disease. The study compared the effects of standard control of blood glucose versus intensive control on the complications of diabetes. Intensive control meant keeping hemoglobin A1C levels as close as possible to the normal value of 6 percent or less. The A1C blood test reflects a person''''s average blood glucose over the last 2 to 3 months. Volunteers were randomly assigned to each treatment group. DCCT Study Findings * Intensive blood glucose control reduces risk of ** eye disease: 76% reduced risk ** kidney disease: 50% reduced risk ** nerve disease: 60% reduced risk When the DCCT ended, researchers continued to study more than 90 percent of participants. The follow-up study, called Epidemiology of Diabetes Interventions and Complications (EDIC), is assessing the incidence and predictors of cardiovascular disease events such as heart attack, stroke, or needed heart surgery, as well as diabetic complications related to the eye, kidney, and nerves. The EDIC study is also examining the impact of intensive control versus standard control on quality of life. Another objective is to look at the cost-effectiveness of intensive control. EDIC Study Findings * Intensive blood glucose control reduces risk of ** any cardiovascular disease event: 42% reduced risk ** nonfatal heart attack, stroke, or death from cardiovascular causes: 57% reduced risk

Proper citation: Diabetes Control and Complications Trial (RRID:SCR_006805) Copy   

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http://www.sigmaplot.com/products/sigmaplot/

Statistical analysis and scientific graphing software for Windows OS.

Proper citation: SigmaPlot (RRID:SCR_003210) Copy   

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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   

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http://www.mcw.edu/EPRCenter.htm

Biomedical technology research center focusing on technological innovation and application of new techniques to biological problems. The main areas of research are free radicals, spin labeling, metal complexes, and metallo proteins. Spectrometers are available for S-, X-, L-, Q- , and W-band EPR, many with ENDOR, ELDOR, saturation-transfer, saturation-recovery, and multiquantum capabilities. * Development of multiquantum Q- and W-band spectrometers, including multiquantum ELDOR, development of time-locked sub-sampling (TLSS) for broadband detection of periodically modulated signals * Development of loop-gap resonators using finite element modeling of Maxwell''s equations * Application of multifrequency (1 to 100 GHz) electron paramagnetic resonance (EPR) to characterize paramagnetic centers * Study of relaxation processes using multifrequency pulse saturation recovery * Use of nitroxide radical spin labels to measure translational and rotational diffusion in biological systems, site-directed spin labeling (SDSL), and use of EPR for the detection of nitric oxide and oxy radicals

Proper citation: National Biomedical Electron Paramagnetic Resonance Center (RRID:SCR_006601) Copy   

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http://clinicaltrials.gov/show/NCT00271999

Randomized controlled clinical trial where subjects will be randomized to conventional hemodialysis delivered three days per week home arm or to the six times per week nocturnal home hemodialysis arm which will follow any dialysis prescription provided their prescribed standardized Kt/V is at least 4.0 and treatment time is at least 6.0 hours, six times per week. Subjects were recruited from dialysis units associated with designated Clinical Centers in the U.S. and Canada and followed for 12 months. Primary Outcome Measures: * composite of 12 month mortality and the change over 12 months in left ventricular mass by cine-MRI, * a composite of 12 month mortality and the change over 12 months in the SF-36 RAND physical health composite Secondary Outcome Measures: * cardiovascular structure/funct (change in LV mass over 12 mos), health-related QoL/phys funct (change over 12 mos in PHC), * depression / dis burden (change over 12 mos in Beck Depression Inv.), nutrition (change over 12 mos in serum albumin, cognitive funct (change over 12 mos in TrailMaking Test B), mineral metabolism (change over 12 mos in aveg pre-dialysis serum phosphorus), * clin events (rate of non-access hospital or death * hypertension, anemia

Proper citation: Frequent Hemodialysis Network Nocturnal Trial (RRID:SCR_007014) Copy   

•   Source: SciCrunch Registry
  

http://www.ebi.ac.uk/uniprot-das

The distributed annotation system (DAS) is a client-server system in which a single client integrates information from multiple servers. The UniProt DAS server provides access to sequence and annotation from UniProt, UniParc and IPI. Researchers can then provide annotation of their own results in the context of UniProt annotation, IPI annotation and UniParc cross references through the use of suitable DAS client such as Dasty2, the Ensembl DAS client or SPICE. The server also gives access to Gene Ontology Annotation of UniProt sequences (GOA) and theoretical tryptic digests of protein sequences in UniProt and IPI. An extremely useful resource for users of DAS is the DAS Registration Server that supports registry and discovery of DAS services. The datasources provided by the UniProt DAS server are all registered with this service.

Proper citation: UniProt DAS (RRID:SCR_004663) Copy   

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http://sccn.ucsd.edu/wiki/BCILAB

Open Source MATLAB toolbox and EEGLAB plugin for the design, prototyping, testing, experimentation with, and evaluation of Brain-Computer Interfaces (BCIs), and other systems in the same computational framework. It facilitates the design and development of new methods for cognitive state estimation and their use in both offline data analysis and real-time applications. BCILAB includes an easily extensible collection of currently over 100 methods from the literature (covering signal processing, machine learning and BCI-specific methods). Aside from supporting advanced BCI research, a special aim of BCILAB is to facilitate the adoption of machine learning and advanced statistical modeling for functional neuroimaging purposes in tandem with the EEGLAB platform. The toolbox offers multiple different interfaces which link to the same backend functionality, including a GUI, scripting support (MATLAB-based), APIs for real-time processing, and a variety of extension component interfaces. MATLAB programming is not strictly necessary, as most BCILAB features can be accessed from the GUI, although it is required for batch scripting and custom extensions. The strength of MATLAB-based software lies in its resources for leading-edge scientific computing, as well as in the good support for rapid prototyping, but BCI systems developed in it can be used for real-time out-of-lab experimentation, and can in principle be deployed without the need for a MATLAB license. However, due to the complexity and overhead of the MATLAB environment, the system is best used as a research platform, and not as a product development environment -- end-user software is ideally re-implemented in a compiled language, after a suitable approach has been identified and extensively tested. The process of identifying and testing an approach involves more than just computation, but also data exploration and investigation - an area which is helped by the deep integration with the EEGLAB platform. In the future, this integration will be further strengthened, bringing rich statistical learning and signal processing into routine EEG analysis workflows. The toolbox has been developed by C. Kothe at the Swartz Center, inspired by the preceding PhyPA BCI toolbox created by C. Kothe and T. Zander at the Chair for Human-Machine Systems, Berlin Institute of Technology.

Proper citation: BCILAB (RRID:SCR_007013) Copy   

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http://uwaterloo.ca/

Proper citation: University of Waterloo; Ontario; Canada (RRID:SCR_006166) Copy   

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http://www.cbnu.ac.kr/eng/

Proper citation: Chungbuk National University; Cheongju; South Korea (RRID:SCR_003570) Copy   

•   Source: SciCrunch Registry
  

http://www.uni-wuerzburg.de/en/

Proper citation: University of Wurzburg; Bavaria; Germany (RRID:SCR_007008) Copy   

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http://phewas.mc.vanderbilt.edu/

Catalog of phenome-wide association study (PheWAS) results for 3,144 single-nucleotide polymorphisms (SNPs) present in the NHGRI GWAS Catalog as of 4/17/2012 in 13,835 European-ancestry individuals from five sites of the Electronic Medical Records and Genomics (eMERGE) network. A total of 1,358 EMR-derived phenotypes were analyzed for each SNP. This PheWAS replicated 66% (51/77) of sufficiently powered prior GWAS associations, and 210/751 of all prior GWAS associations. They also identified 63 potentially pleiotropic associations with p < 4.6x10-6 (false discovery rate < 0.1); the strongest of these novel associations replicated in an independent cohort (n=7,406). The catalog contains all associations with p < 0.05 (uncorrected)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: PheWAS Catalog (RRID:SCR_003562) Copy   

•   Source: SciCrunch Registry
  

http://www.cuhk.edu.hk/

Public research university in Sha Tin, New Territories, Hong Kong.

Proper citation: Chinese University of Hong Kong; Hong Kong; China (RRID:SCR_003440) Copy   

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http://www.ens.fr/

Proper citation: University of Paris; Paris; France (RRID:SCR_006398) Copy   

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http://www.proteinbiotechnologies.com/

Protein Biotechnologies Inc., a San Diego, California based company, provides global pharmaceutical, biotechnology, government and academic institutions with human clinical specimen derivatives and high-throughput protein and tissue microarrays. With the largest collection of ready-to-use, clinically defined, pathology-validated human specimen derivatives on the market, Protein Biotechnologies facilitates biomedical research and drug discovery efforts for cancer, neurodegenerative diseases, cardiovascular diseases, diabetes / obesity and autoimmune disease research. To facilitate high-throughput screening of human clinical specimens, Protein Biotechnologies provides its tissue lysate library on ready-to-use protein microarrays. And, for protein localization, immunohistochemical and in-situ hybridization studies, Protein Biotechnologies'' tissue microarrays are an ideal method for studying multiple human cancer / normal tissues in a single assay. Key Products & Services: * Reverse Phase Protein Microarrays * Human Clinical Tissue Lysates * Tissue Microarrays * Primary & Secondary Antibodies * Supplemental Research Reagents * Protein, RNA and DNA Isolation and Purification * Peptide Synthesis * Custom Protein and Peptide Microarray Design and Manufacturing * Custom Antibody Production

Proper citation: Protein Biotechnologies (RRID:SCR_004893) Copy   

•   Source: SciCrunch Registry