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http://neuronalarchitects.com/about-the-workshop.html
THIS RESOURCE IS NO LONGER IN SERVICE, documented August 17, 2016. Statistical and biomedical informatics software studio that develops neuroscience applications and brain computer interface games. They are dedicated to the integration of medical research, neuroscience, time series analysis, computer programming, statistics, sensor technologies, graphics design, artificial intelligence and entertainment to build gaming systems for neuroscientific research and intelligent tutoring in the classroom and lab. The current focus of The Cromwell Workshop/Neuronal Architects is on theoretical neuroscience and experimental modeling of psychological and neural processes that involve attention, emotion, motivation and executive functions that are impaired by neurological diseases. The outcome of this work is to use these results in the design of multiple genre brain computer interface gaming systems that can be used in both clinical and at home settings. If you would like to explore any collaborative opportunities to use their software or enhance your existing statistical products with their .NET, Java, R and Matlab code bases, let them know.
Proper citation: The Cromwell Workshop (RRID:SCR_001588) Copy
http://www.bioconductor.org/packages/release/bioc/html/lapmix.html
Software to identify differentially expressed genes. A hierarchical Bayesian approach is used, and the hyperparameters are estimated using empirical Bayes.
Proper citation: lapmix (RRID:SCR_001347) Copy
http://www.bioconductor.org/packages/2.4/bioc/html/rMAT.html
Software package for normalizing and analyzing tiling arrays and ChIP-chip data. It is the R-version of a MAT program.
Proper citation: rMAT (RRID:SCR_001583) Copy
http://www.bioinf.jku.at/software/farms/farms.html
Software using a model-based technique for summarizing high-density oligonucleotide array data at probe level for Affymetrix GeneChips. It is based on a factor analysis model for which a Bayesian maximum a posteriori method optimizes the model parameters under the assumption of Gaussian measurement noise.
Proper citation: FARMS (RRID:SCR_001344) Copy
Collect, analyze, and communicate on comprehensive and current data on all islet/beta cell transplants in human recipients performed in North America, as well as some European and Australian centers to expedite progress and promote safety in islet/beta cell transplantation. This site serves as a repository for general information concerning protocols, clinical transplantation sites, publications, and other information of interest to the general community. Annual Reports are available. Islet/beta cell transplantation is a complex procedure with many factors contributing to the outcome. Compiling and analyzing data from all transplant centers in the US, Canada, as well as some European and Australian centers will accelerate the identification of both critical risk factors and key determinants of success and thereby guide transplant centers in developing and refining islet/beta cell transplant protocols. The inclusion of the term collaborative in the name of the Registry emphasizes the importance of collaboration in fulfilling the CITR mission and goals. Close collaboration with the transplant centers will ensure that relevant questions are addressed, that data submitted are accurate and complete, and that the needs of the transplant community are served. Information on how to participate as a CITR Transplant Center and to receive a transplant center application is available through the website. Progress in islet transplantation depends entirely on complete, high-quality medical data, including the information patients consented to report to the Collaborative Islet Transplant Registry. To make it as easy as possible to provide updated information about patient's health, an on-line questionnaire is available or patients can mail it to their transplant center. This information is very important in the continuing search for a cure for Type 1 diabetes.
Proper citation: Collaborative Islet Transplant Registry (RRID:SCR_001466) Copy
http://neuronalarchitects.com/ibiofind.html
THIS RESOURCE IS NO LONGER IN SERVICE, documented August 17, 2016. C#.NET 4.0 WPF / OWL / REST / JSON / SPARQL multi-threaded, parallel desktop application enables the construction of biomedical knowledge through PubMed, ScienceDirect, EndNote and NIH Grant repositories for tracking the work of medical researchers for ranking and recommendations. Users can crawl web sites, build latent semantic indices to generate literature searches for both Clinical Translation Science Award and non-CTSA institutions, examine publications, build Bayesian networks for neural correlates, gene to gene interactions, protein to protein interactions and as well drug treatment hypotheses. Furthermore, one can easily access potential researcher information, monitor and evolve their networks and search for possible collaborators and software tools for creating biomedical informatics products. The application is designed to work with the ModelMaker, R, Neural Maestro, Lucene, EndNote and MindGenius applications to improve the quality and quantity of medical research. iBIOFind interfaces with both eNeoTutor and ModelMaker 2013 Web Services Implementation in .NET for eNeoTutor to aid instructors to build neuroscience courses as well as rare diseases. Added: Rare Disease Explorer: The Visualization of Rare Disease, Gene and Protein Networks application module. Cinematics for the Image Finder from Yale. The ability to automatically generate and update websites for rare diseases. Cytoscape integration for the construction and visualization of pathways for Molecular targets of Model Organisms. Productivity metrics for medical researchers in rare diseases. iBIOFind 2013 database now includes over 150 medical schools in the US along with Clinical Translational Science Award Institutions for the generation of biomedical knowledge, biomedical informatics and Researcher Profiles.
Proper citation: iBIOFind (RRID:SCR_001587) Copy
http://www.bioconductor.org/packages/release/bioc/html/OCplus.html
Software package that allows to characterize the operating characteristics of a microarray experiment, i.e. the trade-off between false discovery rate and the power to detect truly regulated genes. The package includes tools both for planned experiments (for sample size assessment) and for already collected data (identification of differentially expressed genes).
Proper citation: OCplus (RRID:SCR_001342) Copy
https://bioconductor.org/packages//2.11/bioc/html/bridge.html
Software package to test for differentially expressed genes with microarray data. It can be used with both cDNA microarrays or Affymetrix chip. The packge fits a robust Bayesian hierarchical model for testing for differential expression. Outliers are modeled explicitly using a $t$-distribution. The model includes an exchangeable prior for the variances which allow different variances for the genes but still shrink extreme empirical variances. The model can be used for testing for differentially expressed genes among multiple samples, and can distinguish between the different possible patterns of differential expression when there are three or more samples. Parameter estimation is carried out using a novel version of Markov Chain Monte Carlo that is appropriate when the model puts mass on subspaces of the full parameter space.
Proper citation: bridge (RRID:SCR_001343) Copy
https://www.bioconductor.org/packages//2.12/bioc/html/CALIB.html
Software package that contains functions for normalizing spotted microarray data, based on a physically motivated calibration model. The model parameters and error distributions are estimated from external control spikes.
Proper citation: CALIB (RRID:SCR_001338) Copy
http://www.bioconductor.org/packages/release/bioc/html/vsn.html
Software package that implements a method for normalizing microarray intensities, both between colours within array, and between arrays. The method uses a robust variant of the maximum-likelihood estimator for the stochastic model of microarray data described in the references. The model incorporates data calibration (a.k.a. normalization), a model for the dependence of the variance on the mean intensity, and a variance stabilizing data transformation. Differences between transformed intensities are analogous to normalized log-ratios. However, in contrast to the latter, their variance is independent of the mean, and they are usually more sensitive and specific in detecting differential transcription.
Proper citation: vsn (RRID:SCR_001459) Copy
https://github.com/nolanlab/cytospade
Cytoscape plugin that provides a high-performance implementation of an interface for the Spanning-tree Progression Analysis of Density-normalized Events (SPADE) algorithm for tree-based analysis and visualization of high-dimensional cytometry data.
Proper citation: CytoSPADE (RRID:SCR_001457) Copy
http://www.bioconductor.org/packages/2.12/bioc/html/CGHcall.html
Software that calls aberrations for array CGH data using a six state mixture model and several biological concepts. It is written in R.
Proper citation: CGHcall (RRID:SCR_001578) Copy
http://www.cincinnatichildrens.org/research/divisions/t/teen-labs/default/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 29,2023. Consortium made up of five clinical centers and a data coordinating center. The goal of Teen-LABS is to conduct clinical, epidemiological, and behavioral research in adolescent bariatric surgery, through an observational prospective study protocol. Teen-LABS is an ancillary study to LABS, an observational study of adult bariatric surgery. Research staff, certified in standardized uniform data collection according to the protocol, collect data at pre-operative research visits, at surgery, 30 days and six months post-operative, and annual post-operative research visits at the five participating centers.
Proper citation: Teen-Longitudinal Assessment of Bariatric Surgery (RRID:SCR_001492) Copy
http://www.morpholinodatabase.org/
Central database to house data on morpholino screens currently containing over 700 morpholinos including control and multiple morpholinos against the same target. A publicly accessible sequence-based search opens this database for morpholinos against a particular target for the zebrafish community. Morpholino Screens: They set out to identify all cotranslationally translocated genes in the zebrafish genome (Secretome/CTT-ome). Morpholinos were designed against putative secreted/CTT targets and injected into 1-4 cell stage zebrafish embryos. The embryos were observed over a 5 day period for defects in several different systems. The first screen examined 184 gene targets of which 26 demonstrated defects of interest (Pickart et al. 2006). A collaboration with the Verfaillie laboratory examined the knockdown of targets identified in a comparative microarray analysis of hematopoietic stem cells demonstrating how microarray and morpholino technologies can be used in conjunction to enrich for defects in specific developmental processes. Currently, many collaborations are underway to identify genes involved in morphological, kidney, skin, eye, pigment, vascular and hematopoietic development, lipid metabolism and more. The screen types referred to in the search functions are the specific areas of development that were examined during the various screens, which include behavior, general morphology, pigmentation, toxicity, Pax2 expression, and development of the craniofacial structures, eyes, kidneys, pituitary, and skin. Only data pertaining to specific tests performed are presented. Due to the complexity of this international collaboration and time constraints, not all morpholinos were subjected to all screen types. They are currently expanding public access to the database. In the future we will provide: * Mortality curves and dose range for each morpholino * Preliminary data regarding the effectiveness of each morpholino * Expanded annotation for each morpholino * External linkage of our morpholino sequences to ZFIN and Ensembl. To submit morpholino-knockdown results to MODB please contact the administrator for a user name and password.
Proper citation: Morpholino Database (RRID:SCR_001378) Copy
A multicenter randomized clinical trial that aims to determine the best therapies for people with type 2 diabetes and moderately severe cardiovascular disease. 2368 participants were randomized at 49 sites in 6 countries. All subjects were given intensive medical therapy to control cholesterol and blood pressure and given counseling, if needed, to quit smoking and to lose weight. Beyond that, they compared whether prompt revascularization, either bypass surgery or angioplasty, e.g. stents, was more effective than medical therapy alone. At the same time, they also looked at which of two diabetes treatment strategies resulted in better outcomes����??insulin-providing versus insulin-sensitizing - that is, increasing the amount of insulin or making the insulin work better. Only patients with known type 2 diabetes and heart disease that could be treated appropriately with a revascularization OR medical therapy alone were eligible for the trial. Patients entered the study between January 2001 ����?? March 2005 and were followed for an average of five years. When a patient entered the study, physicians first decided whether that patient should receive stenting or bypass surgery. The patient then received their randomization assignment. All patients were treated in BARI 2D for both their diabetes and heart disease, as well as other risk factors that might effect those diseases, regardless of which group they were in. Diabetes-specific complications including retinopathy, nephropathy, neuropathy, and peripheral vascular disease were monitored regularly. Tests, blood samples, urine samples, and treatment cost data were obtained periodically through the trial and examined by experts at 7 central laboratories and other research partners. Experts on risk factors routinely oversaw treatments of all patients at 4 central management centers. A panel of independent experts reviewed data every six months to make sure that all patients were receiving safe care.
Proper citation: BARI 2D (RRID:SCR_001496) Copy
http://www.g-node.org/projects/odml
Mark up language for collecting and exchanging metadata in an automated, computer-based fashion, developed for neuroscience, specifically, neurophysiology experiments. In odML arbitrary metadata information is stored as extended key-value pairs in a hierarchical structure. Central to odML is a clear separation of format and content, i.e., neither keys nor values are defined by the format. This makes odML flexible enough for storing all available metadata instantly without the necessity to submit new keys to an ontology or controlled terminology. Common standard keys can be defined in odML-terminologies for guaranteeing interoperability.
Proper citation: Open metadata mark up language (RRID:SCR_001376) Copy
http://ausweb.scu.edu.au/aw06/papers/refereed/sefton/paper.html
THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The Integrated Content Environment (ICE) is a free Word-processor based system that allows authors to work individually or collaboratively on material for the Web, CD and print. This free web content management system, produced by the University of Southern Queensland, was initially developed by staff at the university to produce course content for online and print delivery. It has also been used for general web site development, and to manage documents in project intranets.
Proper citation: Integrated Content Environment (RRID:SCR_001369) Copy
http://scitools.idtdna.com/analyzer/Applications/OligoAnalyzer/
Web-based application for analyzing oligonucleotides. Analysis proceeds after the sequence has been entered and the calculations modified based on target type, oligo concentration, sodium ion concentration, magnesium ion concentration, and dNTP concentration.
Proper citation: Integrated DNA Technologies OligoAnalyzer (RRID:SCR_001363) Copy
https://bioinformatics.ca/jobs
Job postings available to Bioinformatics.ca members. To become a member please sign up for an account. DISCLAMER: OICR and the Canadian Bioinformatics Workshops are not affiliated with and have not investigated the companies listing jobs on this site. OICR is not making any representations with respect to the positions and is not acting as an agent for the companies listed.
Proper citation: Bioinformatics Jobs Board (RRID:SCR_001484) Copy
Software package for nucleic acid folding and hybridization prediction. It has capabilities to predict folding for single-stranded RNA or DNA through a combination of free energy minimization, partition function calculations and stochastic sampling. The program runs on Unix and Linux platforms as well as Mac OS X and Windows.
Proper citation: UNAFold (RRID:SCR_001360) Copy
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