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https://genome-cancer.ucsc.edu/

A suite of web-based tools to visualize, integrate and analyze cancer genomics and its associated clinical data. It is possible to display your own clinical data within one of their datasets.

Proper citation: UCSC Cancer Genomics Browser (RRID:SCR_011796) Copy   

•   Source: SciCrunch Registry

http://tcm.lifescience.ntu.edu.tw/index.html

TCMGeneDIT is a database system providing association information about traditional Chinese medicines (TCMs), genes, diseases, TCM effects and TCM ingredients automatically mined from vast amount of biomedical literature. Integrated protein-protein interaction and biological pathways information collected from public databases are also available. In addition, the transitive relationships among genes, TCMs and diseases could be inferred through the shared intermediates. Furthermore, TCMGeneDIT is useful in deducing possible synergistic or antagonistic contributions of the prescription components to the overall therapeutic effects. TCMGeneDIT is a unique database of various association information about TCMs. The database integrating TCMs with life sciences and biomedical studies would facilitate the modern clinical research and the understanding of therapeutic mechanisms of TCMs and gene regulations.

Proper citation: TCMGeneDIT (RRID:SCR_013396) Copy   

•   Source: SciCrunch Registry

https://www.clinicalgenome.org

Genomics knowledgebase for clinical relevance of genes and variants for use in research. ClinGen's primary function is to store and share information for the benefit of the scientific community. Laboratory scientists, clinicians, and patients can share and access data.

Proper citation: ClinGen (RRID:SCR_014968) Copy   

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http://fcon_1000.projects.nitrc.org/indi/pro/nyu.html

Datasets including a collection of scans from 49 psychiatrically evaluated neurotypical adults, ranging in age from 6 to 55 years old, with age, gender and intelligence quotient (IQ) information provided. Future releases will include more comprehensive phenotypic information, and child and adolescent datasets, as well as individuals from clinical populations. The following data are released for every participant: * At least one 6-minute resting state fMRI scan (R-fMRI) * * One high-resolution T1-weighted mprage, defaced to protect patient confidentiality * Two 64-direction diffusion tensor imaging scans * Demographic information (age, gender) and IQ-measures (Verbal, Performance, and Composite; Weschler Abbreviated Scale of Intelligence - WASI) * Most participants have 2 R-fMRI scans, collected less than 1 hour apart in the same scanning session. Rest_1 is always collected first.

Proper citation: NYU Institute for Pediatric Neuroscience Sample (RRID:SCR_010458) Copy   

•   Source: SciCrunch Registry

http://fcon_1000.projects.nitrc.org/indi/retro/cobre.html

Data set of raw anatomical and functional MR data from 72 patients with Schizophrenia and 75 healthy controls (ages ranging from 18 to 65 in each group). All subjects were screened and excluded if they had: history of neurological disorder, history of mental retardation, history of severe head trauma with more than 5 minutes loss of consciousness, history of substance abuse or dependence within the last 12 months. Diagnostic information was collected using the Structured Clinical Interview used for DSM Disorders (SCID). A multi-echo MPRAGE (MEMPR) sequence was used with the following parameters: TR/TE/TI = 2530/(1.64, 3.5, 5.36, 7.22, 9.08)/900 ms, flip angle = 7��, FOV = 256x256 mm, Slab thickness = 176 mm, Matrix = 256x256x176, Voxel size =1x1x1 mm, Number of echos = 5, Pixel bandwidth =650 Hz, Total scan time = 6 min. With 5 echoes, the TR, TI and time to encode partitions for the MEMPR are similar to that of a conventional MPRAGE, resulting in similar GM/WM/CSF contrast. Rest data was collected with single-shot full k-space echo-planar imaging (EPI) with ramp sampling correction using the intercomissural line (AC-PC) as a reference (TR: 2 s, TE: 29 ms, matrix size: 64x64, 32 slices, voxel size: 3x3x4 mm3). Slice Acquisition Order: Rest scan - collected in the Axial plane - series ascending - multi slice mode - interleaved MPRAGE - collected in the Sag plane - series interleaved - multi slice mode - single shot The following data are released for every participant: * Resting fMRI * Anatomical MRI * Phenotypic data for every participant including: gender, age, handedness and diagnostic information.

Proper citation: COBRE (RRID:SCR_010482) Copy   

•   Source: SciCrunch Registry

http://www.lji.org/faculty-research/scientific-cores/clinical-studies/#overview

Core facility for clinical studies carried out by the La Jolla Institute of Allergy and Immunology. It is also a non-profit research organization that focuses on studying topics lthat include pollen allergies, HIV, food allergies and tuberculosis.

Proper citation: La Jolla Institute for Immunology Clinical Studies Core Facility (RRID:SCR_014833) Copy   

•   Source: SciCrunch Registry

https://nda.nih.gov/oai

Centralized, annotated repository for the Osteoarthritis Initiative (OAI) study, designed to accelerate research by organizing and linking extensive clinical, imaging (MRI/X-ray), and biomarker data. It aims to help researchers analyze knee osteoarthritis prevention, treatment, and progression.

Proper citation: OAI Knowledge base (RRID:SCR_028107) Copy   

•   Source: SciCrunch Registry

http://www.cerner.com/

A global health company contributing to the systemic improvement of health care delivery and the health of communities. We are transforming health care by eliminating error, variance and waste for health care providers and consumers around the world. Our solutions optimize processes for health care organizations ranging from single-doctor practices to entire countries, for the pharmaceutical and medical device industries, and for the field of health care as a whole. Our solutions are licensed by more than 9,000 facilities worldwide. We invite you to join us in our quest to make health care become all it should be. Since our company began, we have been committed to transformational change in the vital task of keeping people well. Now more than ever, our focus is on developing the innovations that will help improve the entire health care system. Ultimately, as our CEO Neal Patterson has said, health care is personal. Because in the end, nothing matters more than our health and our families. We''re changing the way people: * Use and share information ** We empower providers to base decisions on best clinical evidence. ** We coordinate care across traditionally fragmented health care systems. ** We provide clinical organizations with the reliability, flexibility and continuous innovation available through cloud-based intelligence. ** We provide contextually relevant information to the right people at the right time. * Pay for health and care ** We believe IT investment must be matched with innovative payment models that are much easier to navigate. ** We are replacing the current, claims-based system with streamlined electronic payments. ** We develop ways to reward people and their providers for proactively achieving positive health goals. * Think about health ** We empower people to actively engage in their health by providing them with a standards-based, lifetime Personal Health Record. ** We are replacing the reactive sick care model with a proactive, personalized plan for health.

Proper citation: Cerner Millenium (RRID:SCR_013581) Copy   

•   Source: SciCrunch Registry

http://www.dbmi.pitt.edu/nlpfront

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. Repository of de-identified clinical reports available for NLP researchers has been designed. Work with the AMIA NLP working group in designing annotation schemas and obtaining annotations, design a repository for shareable annotations, help design and execute a shared task in IE from clinical reports. The University of Pittsburgh NLP Repository contains clinical reports that are available to the community for NLP research purposes and comprises: # Report Repository - one month of de-identified clinical reports from multiple hospitals and # Annotation Repository - annotations performed on reports from the Report Repository. Anyone performing annotations on reports from the NLP Repository is required to deposit their annotations. The Repository contains reports of the following types generated from multiple hospitals during a single month: * History and Physicals * Progress Notes * Consultation Reports * Radiology Reports * Surgical Pathology Reports * Emergency Department Reports * Discharge Summaries * Operative Reports * Cardiology Reports

Proper citation: Open Clinical Report Repository (RRID:SCR_013585) Copy   

•   Source: SciCrunch Registry

https://www.genome.gov/27550959/undiagnosed-diseases-network-udn/

A network of clinical sites and core laboratories to accelerate discovery and innovate the way medical professionals diagnose and treat patients with previously undiagnosed diseases. It will serve to test whether this type of cross-disciplinary approach to disease diagnosis is feasible to implement in academic medical centers. It also provides clinical training of contemporary genomic approaches in diagnosing disease.

Proper citation: Undiagnosed Diseases Network (RRID:SCR_014415) Copy   

•   Source: SciCrunch Registry

https://t1dexchange.org/pages/

Provides access to resources T1D researchers need to conduct clinical studies. Data sets from their clinic registry is openly available, as are new study results. They also offer use of T1D Discovery Tool, which allows users to search different fields from registry data, and T1D Exchange Biobank, which offers specimen types such as serum, plasma, white blood cells, DNA, and RNA.

Proper citation: T1D Exchange (RRID:SCR_014532) Copy   

•   Source: SciCrunch Registry

http://www.cephb.fr/

The Centre d''Etude du Polymorphisme Humain (CEPH) is a research laboratory, the main activities of which are the setting up, storage, processing and distribution of DNA collections for the identification of genetic factors conferring susceptibility to complex disorders. These collections are established in partnership and full collaboration with external French or international research groups. The Foundation currently hosts the CEPH reference panel, the HGDP panel (Human genome Diversity Cell Line Panel) and several collections amounting mid-2008 to more than 250 000 samples. The goal of CEPH is to understand complex multifactorial disorders necessitates the establishment of structures facilitating access to large and integrated collection of individuals, characterized by a large number of variables emanating from different technologies and platforms. To achieve this goal, CEPH facilitates the setting up of integrated analyses combining clinical, genetic and environmental data, for the identification of susceptibility factors to complex multifactorial disorders Additionally, CEHP allows the reception, storage, processing and distribution of biological sample collections. At the same time, it promotes and participates in the design and setting up of genetic studies: - in partnership and full collaboration with external research groups - giving access to a large number of variables - in a sufficient number of subjects - allowing large scale integrated analyses

Proper citation: Centre dEtude du Polymorphisme Humain (RRID:SCR_008026) Copy   

•   Source: SciCrunch Registry

https://www.ctsacentral.org/

National consortium of medical research institutions working together to transform the local, regional, and national environment to increase the efficiency and speed of clinical and translational research across the country. Consortium members share a common vision to reduce the time it takes for laboratory discoveries to become treatments for patients, to engage communities in clinical research efforts and to train clinical and translational researchers. This consortium includes 60 medical research institutions located throughout the nation, linking them together to energize the discipline of clinical and translational science. The CTSA consortium has five Strategic Goals: * National Clinical and Translational Research Capability * The Training and Career Development of Clinical and Translational Scientists * Consortium-Wide Collaborations * The Health of our Communities and the Nation * T1 Translational Research

Proper citation: Clinical and Translational Science Awards Consortium (RRID:SCR_008339) Copy   

•   Source: SciCrunch Registry

http://www.affymetrix.com/support/developer/powertools/apt_archive.affx

Affymetrix Power Tools (APT) are a set of cross-platform command line programs that implement algorithms for analyzing and working with Affymetrix GeneChip arrays. APT programs are intended for power users who prefer programs that can be utilized in scripting environments and are sophisticated enough to handle the complexity of extra features and functionality. APT provides platform for developing and deploying new algorithms without waiting for the GUI implementations. This resource is supported by Affymetrix, Inc.

Proper citation: Affymetrix Power Tools (RRID:SCR_008401) Copy   

•   Source: SciCrunch Registry

http://www.bd.com

A healthcare company that provides biomedical solutions and diagnostic and preclinical systems to life science professionals.

Proper citation: Becton Dickinson and Company (RRID:SCR_008418) Copy   

•   Source: SciCrunch Registry

https://wiki.nci.nih.gov/display/caGWAS/caGWAS

Too that allows researchers to integrate, query, report, and analyze significant associations between genetic variations and disease, drug response or other clinical outcomes. SNP array technologies make it possible to genotype hundreds of thousands of single nucleotide polymorphisms (SNPs) simultaneously, enabling whole genome association studies. Within the Clinical Genomic Object Model (CGOM), the caIntegrator team created a domain model for Whole Genome Association Study Analysis. CGOM-caGWAS is a A semantically annotated domain model that captures associations between Study, Study Participant, Disease, SNP Association Analysis, SNP Population Frequency and SNP annotations. caGWAS APIs and web portal provide: * a semantically annotated domain model, database schema with sample data, seasoned middleware, APIs, and web portal for GWAS data; * platform and disease agnostic CGOM-caGWAS model and associated APIs; * the opportunity for developers to customize the look and feel of their GWAS portal; * a foundation of open source technologies; * a well-tested and performance-enhanced platform, as the same software is being used to house the CGEMS data portal; * accelerated analysis of results from various biomedical studies; and * a single application through which researchers and bioinformaticians can access and analyze clinical and experimental data from a variety of data types, as caGWAS objects are part of the CGOM, which includes microarray, genomic, immunohistochemistry, imaging, and clinical data.

Proper citation: caGWAS (RRID:SCR_009617) Copy   

•   Source: SciCrunch Registry

http://www.magventure.com

A complete line of non-invasive magnetic stimulation systems designed for clinical examinations and for research in the areas of neurophysiology, neurology, cognitive neuroscience, rehabilitation and psychiatry.

Proper citation: MagVenture: MagPro Magnetic Stimulator (RRID:SCR_009601) Copy   

•   Source: SciCrunch Registry

http://genomicsandhealth.org/

An international coalition formed to enable the sharing of genomic and clinical data to help unlock potential advancements in medicine and science. Bringing together more than 145 leading institutions working in healthcare, research, disease advocacy, life science, and information technology, the Global Alliance is working together to create and promulgate harmonized approaches to enable the responsible, voluntary, and secure sharing of genomic and clinical data.

Proper citation: Global Alliance for Genomics and Health (RRID:SCR_003555) Copy   

•   Source: SciCrunch Registry

http://www.clinit.net/

An independent owner-operated contract research organization providing clinical research services to the biopharmaceutical industry and life science organizations. If you are looking for data management, biostatistics and EDC solutions or plan to conduct a high quality phase I-IV or non-interventional study in and outside of Germany KOEHLER eClinical is your partner in study planning, conduct, evaluation and publication.

Proper citation: KOEHLER eClinical (RRID:SCR_003896) Copy   

•   Source: SciCrunch Registry

http://www.precisesads.eu/

A project that will study 2,500 people with various systemic autoimmune diseases (SADs), gathering data on the molecular causes of their disease as well as their clinical symptoms, enabling them to pave the way for a new classification of these diseases. The goal is to use OMICs and bioinformatics to identify new classifications for diseases known to share common pathophysiological mechanisms. Results will be shared to deliver a new molecular taxonomy of systemic autoimmune diseases. In order to achieve this, PRECISEADS is informing on a regular basis on the project implementation and results, and involving stakeholders from Europe in its activities in order to broaden the project impact and increase opportunities for cooperation.

Proper citation: PRECISESADS (RRID:SCR_003882) Copy   

•   Source: SciCrunch Registry