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http://www.uniovi.es/

Public university in Asturias. It is the only university in the region. It has three campus and research centres, located in Oviedo, Gijón and Mieres.

Proper citation: University of Oviedo; Oviedo; Spain (RRID:SCR_006359) Copy   

•   Source: SciCrunch Registry

http://app.easyopendata.com/

Software application to create Open Data from your Google Drive spreadsheets. # Create a spreadsheet in Google Drive. Share, collaborate and refine your data as usual. # Design the template in EasyOpenData. Format your data the way you want it - any markup, any schema. # Publish your Open Data feed. Feeds update automatically when your spreadsheet is changed.

Proper citation: EasyOpenData (RRID:SCR_006354) Copy   

•   Source: SciCrunch Registry

http://images.aperio.com/

Expansive collection of high-quality wholeslide images

Proper citation: WebScope (RRID:SCR_006355) Copy   

•   Source: SciCrunch Registry

http://www.zebrafinch.org/

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. Project to advance understanding of the neural mechanisms of vocal learning by providing a quantitative description of the relationship between physiological variables and vocal performance over the course of development in a songbird, the zebra finch. They propose to study vocal learning dynamically across neuronal and peripheral subsystems, using a novel collaborative approach that will harness the combined expertise of several investigators. Their proposed research model will 1) provide simultaneous measurements of acoustic, articulatory and electrophysiological data that will document the detailed dynamics of the vocal imitation process in a standardized learning paradigm; and 2) incorporate these measurements into a theoretical/computational framework that simultaneously provides a phenomenological description and attempts to elucidate the mechanistic basis of the learning process.

Proper citation: Zebra Finch Song Learning Consortium (RRID:SCR_006356) Copy   

•   Source: SciCrunch Registry

http://kobas.cbi.pku.edu.cn/

Web server to identify statistically enriched pathways, diseases, and GO terms for a set of genes or proteins, using pathway, disease, and GO knowledge from multiple famous databases. It allows for both ID mapping and cross-species sequence similarity mapping. It then performs statistical tests to identify statistically significantly enriched pathways and diseases. KOBAS 2.0 incorporates knowledge across 1327 species from 5 pathway databases (KEGG PATHWAY, PID, BioCyc, Reactome and Panther) and 5 human disease databases (OMIM, KEGG DISEASE, FunDO, GAD and NHGRI GWAS Catalog). A standalone command line version is also available, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: KOBAS (RRID:SCR_006350) Copy   

•   Source: SciCrunch Registry

http://annotum.org

An open-source, open-process, open-access scholarly authoring and publishing platform based on WordPress. Its objectives are to develop a simple, robust, easy-to-use authoring system to create and edit scholarly articles, and to deliver an editorial review and publishing system that can be used to submit, review, and publish scholarly articles. Software and source code are also available. Annotum will build upon the WordPress platform as a foundation, filling in the gaps by providing the following additional features: * Rich, web-based authoring and editing: ** What you see is what you get (WYSIWYG) authoring with rich toolset (equations, figures, tables, citations and references) ** coauthoring, comments, version tracking, and revision comparisons * Strict conformance to a subset of the NLM journal article publishing tag set * Multiple import and export formats ** Export to PDF and XML formats ** Import XML and WXR formats for round-tripping of content ** Articles can be cited, exported, imported across systems/sites * Simple editorial workflow for authoring and reviewer/editor approval * Features specific to scholarly publishing: ** Equations, figures, tables ** References including citation search features ** Auto-generation and registration of CrossRef DOIs

Proper citation: Annotum (RRID:SCR_006353) Copy   

•   Source: SciCrunch Registry

http://www.centropiaggio.unipi.it/software

Software to handle and process large numbers of optical microscopy image files of neurons in culture or slices in order to automatically run batch routines, store data and apply multivariate classification and feature extraction using 3-way principal component analysis (PCA). This freeware for semi automated quantitative and dynamic analysis of neuron morphometry incorporates the most important microstructural quantification methods, such as fractal and sholl analysis with statistical and classification tools to provide an integrated image processing environment which enables fast and easy feature identification. It includes: * Friendly interactive graphical user interface * Image pre-processing * Morphological analysis * Topological analysis * Cell counting * 3-way PCA analysis (also available as an ImageJ plugin) * Plot of variables Sequential images of labeled or unlabelled neurons or tissue slices can be uploaded batch-wise in order to create a 3 axis (time, image coordinate) data base and a datamatrix of variables for 3-way Principal Component Analysis*.

Proper citation: NEuronMOrphological analysis tool (RRID:SCR_006304) Copy   

•   Source: SciCrunch Registry

http://www.lbda.org

The LBDA is a Lewy Body Disease (LBD) information resource for lewy body patients, caregivers, and medical professionals. It provides general information on LBD, including diagnosis, symptoms, treatments, etc., as well as providing links to support resources and an LBD online community. For professionals, the site also provides information on patient care, current LBD research and publications, and diagnostics information. LBDA offers many support resources for those affected by LBD and for their loved ones. These resources include local support group meeting information, online support groups, and user forums where users can find information or ask any questions they may have about the disease. A portion of the site is also dedicated to those who wish to help, either through participation in clinical trials, donations, or volunteering. LBDA also offers information on upcoming LBD-related events. LBDA is located Atlanta, GA. :NIF thanks the : :Parkinson''s Disease Foundation : : :for their referral of this resource to us.

Proper citation: Lewy Body Dementia Association (RRID:SCR_006421) Copy   

•   Source: SciCrunch Registry

http://www.oulu.fi/english/

One of the largest universities in Finland, located in the city of Oulu. It was founded on July 8, 1958.

Proper citation: University of Oulu; Oulu; Finland (RRID:SCR_006301) Copy   

•   Source: SciCrunch Registry

http://openfurther.org/

Data and knowledge management infrastructure for the new Center for Clinical and Translational Science (CCTS) at the University of Utah. This clinical cohort search tool is used to search across the University of Utah clinical data warehouse and the Utah Population Database for people who satisfy various criteria of the researchers. It uses the i2b2 front end but has a set of terminology servers, metadata servers and federated query tool as the back end systems. FURTHeR does on-the-fly translation of search terms and data models across the source systems and returns a count of results by unique individuals. They are extending the set of databases that can be queried.

Proper citation: FURTHeR (RRID:SCR_006383) Copy   

•   Source: SciCrunch Registry

http://www.h-outcomes.com/

Software application that supports the execution of multivariable prediction models with patient-specific characteristics so that personalized estimates of outcomes, often as a function of alternative treatments, can be generated within the routine flow of patient care. This can support evidence-based, shared medical decision-making to improve the safety, outcomes and cost-effectiveness of care. The current application is in the setting of generating individualized informed consent documents for PCI. However, the tool can support that translation of novel biomarkers, genetics and pharmacogenomic interactions into clinical care. The platform gives healthcare providers instantaneous access to the latest clinical prediction models coupled with rich visualization tools. These models may come from national organizations, outcomes researchers or a specific institution. In addition to decision support applications, it can be used to rapidly create personalized educational materials, patient letters, informed consent documents and a broad array of other items that can help elevate the quality of healthcare delivery.

Proper citation: ePRISM (RRID:SCR_006386) Copy   

•   Source: SciCrunch Registry

http://snps.ccbr.utoronto.ca:8080/SNPdryad/

Service to predict deleterious non-synonymous human Single Nucleotide Polymorphisms (SNPs) using only orthologous protein sequences.

Proper citation: SNPdryad (RRID:SCR_006414) Copy   

•   Source: SciCrunch Registry

http://www.alzforum.org/

A community building portal dedicated to understanding Alzheimer's disease and related disorders, it reports on the latest scientific findings from basic research to clinical trials, creates and maintains public databases of essential research data and reagents, and produces discussion forums to promote debate, speed the dissemination of new ideas, and break down barriers across disciplines.

Proper citation: Alzheimer's Research Forum (RRID:SCR_006416) Copy   

•   Source: SciCrunch Registry

http://ctakes.apache.org

An open-source natural language processing system for information extraction from electronic medical record clinical free-text. This is a system through which one creates one or more pipelines to process clinical notes and to identify clinical named entities. It processes clinical notes, identifying types of clinical named entities, drugs, diseases/disorders, signs/symptoms, anatomical sites and procedures. Each named entity that is found is given attributes for the text span, the ontology mapping code, the context (family history of, current, unrelated to patient), and negated/not negated. cTAKES is built on the UIMA framework. cTAKES 2.5 does not provide a GUI of its own for installation or processing. The cTAKES documentation shows how to use the GUIs provided by the UIMA framework, and how to run cTAKES from a command line. Before using cTAKES you need to know that cTAKES does not provide any mechanisms of its own to handle patient data securely. It is assumed that cTAKES is installed on a system that can process patient data, or that any data being processed by cTAKES has already been through a deidentification step in order to comply with any applicable laws. The tool has been developed and deployed at Mayo Clinic since early 2000.

Proper citation: cTAKES (RRID:SCR_006379) Copy   

•   Source: SciCrunch Registry

http://www.callisto-science.org/NSI/Neuroscience_Image_Database/Images%20of%20the%20Human%20Nervous%20System%20-%20Disease%20&%20Injury.html

A collection of images of the human nervous system focusing on disease and injury.

Proper citation: Human Nervous System Disease and Injury (RRID:SCR_006370) Copy   

•   Source: SciCrunch Registry

http://cran.r-project.org/web/packages/QCGWAS/

Software tools for (automated and manual) quality control of the results of Genome Wide Association Studies.

Proper citation: QCGWAS (RRID:SCR_006408) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://www.wpi.edu/

Private research university in Worcester, Massachusetts, focusing on the instruction and research of technical arts and applied sciences.

Proper citation: Worcester Polytechnic Institute; Massachusetts; USA (RRID:SCR_006328) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://www.shanoir.org/

An open source data sharing and visualization platform for neuroimaging data, that uses the OntoNeuroLOG ontology. Shanoir (Sharing NeurOImaging Resources) is an open source neuroinformatics platform designed to share, archive, search and visualize neuroimaging data. It provides a user-friendly secure web access and offers an intuitive workflow to facilitate the collecting and retrieving of neuroimaging data from multiple sources and a wizard to make the completion of metadata easy. Shanoir comes with many features such as anonymization of data, support for multicenter clinical studies on subjects or group of subjects. Shanoir offers an ontology-based data organization (OntoNeuroLOG). Among other things, this facilitates the reuse of data and metadata, the integration of processed data and provides traceability trough an evolutionary approach. Shanoir allows researchers, clinicians, PhD students and engineers to undertake quality research projects with an emphasis on remote collaboration. As a secured J2EE web application, it therefore allows you safely store and archive, with no more requirements than a computer with an internet connection. Furthermore, Shanoir is not only a web application: it is also a complete neuroinformatics platform in which you can easily integrate your existing processing tools or develop your own ones: see ShanoirTk. Shanoir is a project carried out by the VisAGeS Team, based at IRISA (INRIA Rennes - Bretagne Atlantique Research Centre). This software is released under QPL 1.0 license.

Proper citation: Shanoir (RRID:SCR_006286) Copy   

•   Source: SciCrunch Registry