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http://www.w3.org/TR/hcls-swan/
The SWAN (Semantic Web Applications in Neuromedicine) ontology is an ontology for modeling scientific discourse and has been developed in the context of building a series of applications for biomedical researchers, as well as extensive discussions and collaborations with the larger bio-ontologies community. Developing cures for highly complex diseases, such as neurodegenerative disorders, requires extensive interdisciplinary collaboration and exchange of biomedical information in context. Our ability to exchange such information across sub-specialties today is limited by the current scientific knowledge ecosystem's inability to properly contextualize and integrate data and discourse in machine-interpretable form. This inherently limits the productivity of research and the progress toward cures for devastating diseases such as Alzheimer's and Parkinson's. The SWAN ontology is organized in three types of modules: * basic: basic modules represent the ontology building blocks. They cover topics that are general enough to be included in every ontology distribution. The current basic modules are: ** collections ** provenance, authoring and versioning (PAV) ** discourse relationships ** FOAF (in OWL-DL) ** SKOS (in OWL-DL) ** qualifiers ** scientific discourse * extension: extensions modules are covering topics (a) that can be related only to some fields of science (b) for which there could be more than one implementation (c) for which a temporary solution has been provided and it is possible to forecast its substitution. The current extensions modules are: ** life science entities ** citations ** qualifiers extension modules * distribution: distributions are modules that are including all the basic modules and extensions necessary for serving a specific domain (i.e. the SWAN ontology for the Alzheimer knowledge base or the generic distribution that is not binded to any specific scientific domain). The current available distributions are: ** swan-scientific-discourse ** swan-alzheimer
Proper citation: Semantic Web Applications in Neuromedicine (SWAN) Ontology (RRID:SCR_000697) Copy
https://www.petermac.org/research/labs/grant-mcarthur
Cancer research laboratory at the Peter MacCallum Cancer Centre which investigates biomarkers identification, compounds for activity as anti-cancer drugs, and small molecule targeted therapies.
Proper citation: Translational Research Laboratory (RRID:SCR_001023) Copy
http://www.codoncode.com/productsservices/phrap.htm#PHRED
A base calling program for DNA sequence traces.
Proper citation: Phred (RRID:SCR_001017) Copy
A tool for creating logos representing both sequence alignments and profile hidden Markov models. The interactive logos enable scrolling, zooming, and inspection of underlying values. Skylign can avoid sampling bias in sequence alignments by down-weighting redundant sequences and by combining observed counts with informed priors. It also simplifies the representation of gap parameters, and can optionally scale letter heights based on alternate calculations of the conservation of a position.
Proper citation: Skylign (RRID:SCR_001176) Copy
http://neuroinformatics.kiv.zcu.cz/articles/read/eegerp-portal-eegbase-_2014-12-19
EEG base is a system for storage and management of EEG/ERP resources - data, metadata, tools and materials related to EEG/ERP experiments. EEG base advances electrophysiology research by enabling access to public data, tools and results of research groups. The system essentially offers the following set of features (the set of accessible features depends on a specific user role): * User authentication * Storage, update, and download of EEG/ERP data and metadata * Storage, update and download of EEG/ERP experimental design (experimental scenarios) * Storage, update and download of data related to testing subjects * Fulltext search * Sharing of knowledge and working in groups The system is based on tree layer architecture (MVC pattern) consisting of persistent layer (relational database), application layer (object oriented code, object relational mapping from persistence layer) and presentation layer (JSP). The persistence layer uses Hibernate framework; Oracle 11g database server is used to ensure the processing of large data files. Application and presentation layers are designed and implemented using Spring technology. This framework supports MVC architecture, Dependency injection and Aspect Oriented Programming. There were no significant difficulties with integration of both frameworks, Hibernate and Spring MVC. Spring Security framework is used to ensure management of authentication and user roles. Since the system is thought to be finally open to the whole EEG/ERP community it is necessary to protect EEG/ERP data and metadata, and especially personal data of testing subjects stored in the database from an unauthorized access. Then a restricted user policy is applied and user roles are introduced. The complete overview of the system features and user roles (use case diagram) is available in (Pergler 2009). Concerning the architectural layers there is a question which layer is more feasible for mapping of its structure into ontology. Currently we have studied two possibilities: * Mapping from the persistence layer (relational database) * Mapping from the application layer (object oriented code) The mapping from the application layer to an ontology includes the precedent object relational mapping provided by Hibernate framework.
Proper citation: EEGbase (RRID:SCR_001452) Copy
https://school.wakehealth.edu/departments/neurology
Department at the Wake Forest University's School of Medicine that hosts physicians who specialize in neurological topics such as neuromuscular disease, epilepsy, pediatric neurology, strokes, neuropsychology, neurosonology, and neurorehabilitaiton.
Proper citation: Wake Forest University School of Medicine: Department of Neurology (RRID:SCR_001453) Copy
https://github.com/Ensembl/WiggleTools
A multithreaded software library that computes statistics on large numbers of datasets, generating statistical summaries within minutes with limited memory requirements, whether on the whole genome or on selected regions.
Proper citation: WiggleTools (RRID:SCR_001170) Copy
http://ccb.jhu.edu/software/sim4cc/
Software tool as cross species spliced alignment program.Heuristic sequence alignment tool for comparing cDNA sequence with genomic sequence containing homolog of gene in another species.
Proper citation: sim4cc (RRID:SCR_001204) Copy
http://www.omixon.com/data-analysis-and-pro/
Software application suite to help clinical labs adopt next generation sequencing for the analysis of diagnostic gene targets.
Proper citation: Omixon Target Data Analysis (RRID:SCR_001207) Copy
http://download.cnet.com/icyou-Health-Video/3000-2129_4-75046330.html
THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 18, 2016. icyou is an internet resource of health-related video clips submitted by users. Health topics covered in videos can range anywhere from infectious diseases to fitness and exercise, with videos generally being shorter than 10 minutes in length. Videos also contain information on treatment and procedures, medical fields, and health politics and policy. These videos may or may not be authored by licensed medical personnel. All videos are searchable, and users can also choose to upload their own healthcare-related videos. In addition to gathering healthcare video from the best sources on the Web and beyond, icyou.com can call on its own award-winning health reporting team to cover the latest issues and trends. Through its parent company Benefitfocus, icyou.com has full access to the Benefitfocus Media Studio, a state-of-the-art HD facility located in Charleston, South Carolina. This studio is the only one of its kind devoted solely to creating healthcare-oriented video content. In it, the Benefitfocus Media team creates up-to-the-minute reports, tutorials, features and more that help illuminate its users about the complexities of the many facets of healthcare.
Proper citation: icyou Health Videos (RRID:SCR_001167) Copy
Biomedical technology research center that creates optimal facilities and environments and support for macromolecular structure determination by synchrotron X-ray diffraction at the National Synchrotron Light Source for the benefit of outside and in-house investigators. The PXRR innovates new access modes such as Mail-in crystallography, builds new facilities, currently on the X25 undulator, advances automation, develops remote participation software, collaborates with outside groups, teaches novice users, and supports vising investigators with 7-day, 20-hours staff coverage.
Proper citation: Macromolecular Crystallography Research Resource (RRID:SCR_001442) Copy
https://medicine.yale.edu/keck/nida/yped/
Open source system for storage, retrieval, and integrated analysis of large amounts of data from high throughput proteomic technologies. YPED currently handles LCMS, MudPIT, ICAT, iTRAQ, SILAC, 2D Gel and DIGE. The repository contains data sets which have been released for public viewing and downloading by the responsible Primary Investigators. It includes proteomic data generated by the Yale NIDA Neuroproteomics Center (http://medicine.yale.edu/keck/nida/index.aspx). Sample descriptions are compatible with the evolving MIAPE standards.
Proper citation: YPED (RRID:SCR_001436) Copy
http://www.anxietyaustralia.com.au/
Anxiety Treatment Australia provides information about anxiety disorders, the treatment options, psychologists around Australia who treat anxiety disorders, group therapy & workshops, support groups, articles, resources and links to other sites. Sponsors: his website is brought to you by Catherine Madigan, a Melbourne Clinical Psychologist who specializes in the treatment of Anxiety Disorders (ABN 51 109 368 630).
Proper citation: Anxiety Treatment Australia: Anxiety Disorder Help, Information and Psychologist List (RRID:SCR_001434) Copy
http://www.nitrc.org/projects/philips_users/
Communnity project to help support the efforts of investigators using Philips Healthcare systems. This clearingsite helps users find forums, mailinglists, etc. that support this community. If you have suggestions for inclusion, let the project admin know!
Proper citation: Philips Users Community (RRID:SCR_001438) Copy
This resource provides a list of federal program officials in the neurosciences. An informal compendium of names and contact information for nearly 300 research grant and scientific review administrators in 21 organizational units.
Proper citation: NRF Contacts (RRID:SCR_001473) Copy
http://www.cognitiveatlas.org/concept/Auditory_stream_segregation
An entry of the Cognitive Atlas which defines the term speech perception.
Proper citation: Speech Perception (RRID:SCR_001114) Copy
http://www.diabetestrialnet.org/
International network of researchers who are exploring ways to prevent, delay and reverse the progression of type 1 diabetes. It is conducting clinical trials with researchers from 18 Clinical Centers in the United States, Canada, Finland, United Kingdom, Italy, Germany, Australia and New Zealand. In addition, more than 150 medical centers and physician offices are participating in the TrialNet network. Studies are available for people newly diagnosed with type 1 diabetes, as well as for relatives of people with type 1 diabetes who are at greater risk of developing the disease. This NIH-sponsored clinical trials network conducts studies designed to evaluate new approaches to prevent or ameliorate type 1 diabetes specifically by interdicting the type 1 diabetes disease process. These include interventions designed to decrease beta-cell destruction and/or enhance beta-cell survival. Studies are conducted in non-diabetic persons at risk of type 1 diabetes in an effort to delay the development of type 1 diabetes as a clinical disease; or (if initiated prior to appearance of autoimmunity) in an effort to delay the appearance of autoimmunity; or in individuals with type 1 diabetes who are either newly diagnosed or have evidence of sustained beta cell function. Studies include long-term follow-up of subjects developing type 1 diabetes. The TrialNet network also supports natural history and genetics studies in populations screened for or enrolled in studies conducted by the TrialNet study group. In addition, TrialNet will evaluate methodologies that enhance the conduct of clinical trials interdicting the type 1 diabetes disease process.
Proper citation: Type 1 Diabetes TrialNet (RRID:SCR_001508) Copy
http://www.informatics.jax.org/cookbook/
A book adapted for the Web on the anatomy of the laboratory mouse by Margaret J. Cook, 143 pages, M.R.C. Laboratory Animals Centre, Carshalton, Surrey, England. Academic Press 1965. Mouse Externals, Skeleton, Viscera and Circulatory System are covered.
Proper citation: Anatomy of the Laboratory Mouse (RRID:SCR_001509) Copy
http://www.statepi.jhsph.edu/ckid/
Prospective, observational cohort study of children with mild to moderate chronic kidney disease (CKD) to: (1) determine risk factors for progression of pediatric chronic kidney disease (CKD); (2) examine the impact of CKD on neurocognitive development; (3) examine the impact of CKD on risk factors for cardiovascular disease, and; (4) examine the impact of CKD on growth. The CKiD study population will include a cohort of 540 children, age 1 16 years, expected to be enrolled over a 24-month period.
Proper citation: CKID A Prospective Cohort Study of Kidney Disease in Children (RRID:SCR_001500) Copy
http://www.bioconductor.org/packages/2.10/bioc/html/R453Plus1Toolbox.html
R software toolbox of functions for the analysis of data generated by Roche's 454 sequencing platform. Additional functions are included for quality assurance, annotation and visualization of detected variants, complementing the software tools shipped by Roche with their product. A pipeline for the detection of structural variants is provided.
Proper citation: R453Plus1Toolbox (RRID:SCR_001105) Copy
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