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http://www.research.va.gov/programs/tissue_banking/als/

A human tissue bank that collects, processes, stores and gives out research specimens for future scientific studies. Presently, the VABBB is obtaining neurologic tissue specimens from Veterans who suffer from amyotrophic lateral sclerosis (ALS) and other illnesses that affect Veterans, along with relevant clinical data, essential for research. Currently, neither the cause nor prevention of ALS is known. Medical researchers are currently examining environmental, toxic, genetic, traumatic, medical, and occupational influences as possible contributors to the development and progression of ALS. Veterans have a higher risk of developing ALS compared with non-Veterans; however, the reasons for this higher risk are currently unknown. Any Veteran with ALS in the U.S. may enroll in the VABBB.

Proper citation: VA Biorepository Brain Bank (RRID:SCR_006546) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/cnv-webstore

Integrated platform to analyse, store, visualise and interpret CopyNumber Variation data. Analysis is supported for Illumina data, all CNV-reports and raw data can be imported after third-party analysis. Platform to streamline processing and downstream interpretation of microarray data in clinical context. Analysis tools include CNV analysis, parent of origin and uniparental disomy detection. Interpretation tools include data visualisation, gene prioritisation, automated PubMed searching, linking data to several genome browsers and annotation of CNVs based on several public databases.

Proper citation: CNV webstore (RRID:SCR_018007) Copy   

•   Source: SciCrunch Registry

http://code.google.com/p/neurological-disease-ontology/

An ontology for the representation of the range of clinical and basic science aspects of neurological diseases. ND has a broad scope that includes neurological diseases as well as their associated signs, symptoms, diagnoses, pathologies, etiologies, processes, treatments, and any other aspect of a neurological disease that is or can be encountered in the course of clinical practice or medical research. ND is being built in accordance with the OBO Foundry principles. It is an extension of the Ontology for General Medical Science (OGMS) as well as the Basic Formal Ontology (BFO). ND aims to develop classes utilizing both textual and axiomatized definitions to describe and formalize relations between instances of classes both within the ontology itself as well as between ND and external ontologies such as the: Gene Ontology (GO), Cell Ontology (CL), Protein Ontology (PRO), Chemical Entities of Biological Interest (ChEBI), and Ontology for Biomedical Investigations (OBI).

Proper citation: Neurological disease ontology (RRID:SCR_010284) Copy   

•   Source: SciCrunch Registry

http://code.google.com/p/ogms/

An ontology based on the papers Toward an Ontological Treatment of Disease and Diagnosis and On Carcinomas and Other Pathological Entities to address some of the issues raised at the Workshop on Ontology of Diseases (Dallas, TX) and the Signs, Symptoms, and Findings Workshop (Milan, Italy). OGMS was formerly called the clinical phenotype ontology. Terms from OGMS hang from the Basic Formal Ontology.

Proper citation: Ontology for General Medical Science (RRID:SCR_010384) Copy   

•   Source: SciCrunch Registry

http://www.cvm.ncsu.edu/ccmtr/

The mission of the CCMTR is to promote scientific discovery and facilitate its clinical application to achieve the goal of improving the health of animals and humans. The needs of the patients direct the emphasis of basic research, patient samples provide the critical resource to investigate the basis of disease, and patient participation in clinical studies is required to generate the evidence needed to apply new drugs, vaccines and technology to the broader patient population. Initiatives at the Center are designed to develop the multidisciplinary teams necessary to bring an idea from the lab to the patient. The Center is home to service cores that provide advanced technology, collect and store clinical patient samples, and perform clinical trials to validate new medical interventions. North Carolina State University''s College of Veterinary Medicine (CVM) is a dynamic community whose members are dedicated to preparing veterinarians and veterinarian scientists while advancing animal and human health from the cellular level through entire ecosystems.

Proper citation: Center for Comparative Medicine and Translational Research (RRID:SCR_008299) Copy   

•   Source: SciCrunch Registry

http://www.rad.upenn.edu/sbia/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 2, 2023. A section of the Penn department of radiology, it is devoted to the development of computer-based image analysis methods and their application to clinical research studies. Image analysis methodologies include image registration, segmentation, population-based statistical analysis, biophysical modeling of anatomical deformations, and high-dimensional pattern classification. Clinical research studies spans a variety of clinical areas and organs, and they include brain diseases such as Alzheimer's disease and schizophrenia, evaluation of treatment effects in large clinical trials, diagnosis of cardiac diseases, and diagnosis prostate, breast and brain cancer. SBIA also performs small animal imaging research aiming to understand brain development in mouse models. It has multiple resources which can be accessed by researcher.

Proper citation: SBIA (RRID:SCR_013628) Copy   

•   Source: SciCrunch Registry

http://www.bioeden.com/

International private stem cell storage bank to collect, assess and cryogenically store living tooth cells from deciduous baby teeth. Tooth cell banking is a safe, natural and completely noninvasive method of collecting and preserving valuable stem cells which could hold the key to your child's health. Simply enroll, send us your child's tooth when it falls out, and they'll do the rest. Stem cell treatment to repair or replace damaged tissues or organs is the cornerstone of future medical science. Children's milk teeth, (baby teeth) have been identified as a rich source of these stem cells and have the potential to treat some of the worst illnesses and diseases facing people today. Stem cells from teeth (mesenchymal stem cells) are different from those found in cord blood (hematopoietic stem cells). Cord blood cells can be used to treat blood disorders such as leukemia, but stem cells from teeth are different. Stem cells from teeth can be used to grow a range of tissues including bone, nerve, fat, muscle and cartilage and may one day be used to grow entire organs. It is widely believed that stem cells will be used to treat a wide variety of diseases and injuries within the next decade. Their UK facility is regulated by the Human Tissue Authority (HTA), and they hold a full license. They are also registered with the Food and Drug Administration (FDA) in the US. BioEDEN, Ltd is ISO 9001:2008 accredited by the British Assessment Bureau. When you enroll for the BioEDEN service, you will be offered the opportunity to consent to donate any excess cells. BioEDEN will provide these cells to leading academic and clinical research centers to help further the progression of this technology to useful clinical applications. BioEDEN will only provide cells to researchers that have full ethical approval for their research and will be guided by our Advisory team as to the most appropriate research to support. The cells will be donated in accordance with strict regulatory guidelines and anonymity of the donor will be strictly assured at all times. Donation of cells is an entirely opt in service. If you choose not to give consent to donate, BioEDEN will simply store the cells for your child.

Proper citation: BioEden Tooth Cell Bank (RRID:SCR_000507) Copy   

•   Source: SciCrunch Registry

http://ccb.loni.usc.edu/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 31, 2022. Center focused on the development of computational biological atlases of different populations, subjects, modalities, and spatio-temporal scales with 3 types of resources: (1) Stand-alone computational software tools (image and volume processing, analysis, visualization, graphical workflow environments). (2) Infrastructure Resources (Databases, computational Grid, services). (3) Web-services (web-accessible resources for processing, validation and exploration of multimodal/multichannel data including clinical data, imaging data, genetics data and phenotypic data). The CCB develops novel mathematical, computational, and engineering approaches to map biological form and function in health and disease. CCB computational tools integrate neuroimaging, genetic, clinical, and other relevant data to enable the detailed exploration of distinct spatial and temporal biological characteristics. Generalizable mathematical approaches are developed and deployed using Grid computing to create practical biological atlases that describe spatiotemporal change in biological systems. The efforts of CCB make possible discovery-oriented science and the accumulation of new biological knowledge. The Center has been divided into cores organized as follows: - Core 1 is focused on mathematical and computational research. Core 2 is involved in the development of tools to be used by Core 3. Core 3 is composed of the driving biological projects; Mapping Genomic Function, Mapping Biological Structure, and Mapping Brain Phenotype. - Cores 4 - 7 provide the infrastructure for joint structure within the Center as well as the development of new approaches and procedures to augment the research and development of Cores 1-3. These cores are: (4)Infrastructure and Resources, (5) Education and Training, (6) Dissemination, and (7) Administration and Management. The main focus of the CCB is on the brain, and specifically on neuroimaging. This area has a long tradition of sophisticated mathematical and computational techniques. Nevertheless, new developments in related areas of mathematics and computational science have emerged in recent years, some from related application areas such as Computer Graphics, Computer Vision, and Image Processing, as well as from Computational Mathematics and the Computational Sciences. We are confident that many of these ideas can be applied beneficially to neuroimaging.

Proper citation: Center for Computational Biology at UCLA (RRID:SCR_000334) Copy   

•   Source: SciCrunch Registry

http://www.idibell.cat/en

A research center focused on cellular medicine, where the basic research focuses and works on relevant clinical matters and fosters economic development. The center manages the research of the Bellvitge University Hospital, the Institut Catal�� d''Oncologia (Catalan Institute of Oncology) and the University of Barcelona. It is one of the first five Spanish research centers accredited as health research institute by the Instituto de Salud Carlos III (Health Institute Carlos III).

Proper citation: Bellvitge Biomedical Research Institute (RRID:SCR_003917) Copy   

•   Source: SciCrunch Registry

http://centreforstrokerecovery.ca/our-research/research-structure/stroke-patient-recovery-research-database-spred

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 28,2025. The Stroke Patient Recovery Research Database (SPReD) initiative creates the infrastructure needed for the collection of a wide range of data related to stroke risk factors and to stroke recovery. It also promotes the analysis and management of large brain and vessel images. A major goal is to create a comprehensive electronic database Stroke Patient Recovery Research Database or SPReD and populate it with patient data, including demographic, biomarker, genetic and proteomic data and imaging data. SPReD will enable us to combine descriptions of our stroke patients from multiple projects that are geographically distributed. We will do this in a uniform fashion in order to enhance our ability to document rates of recovery; to study the effects of vascular risk factors and inflammatory biomarkers; and to use these data to improve their physical and cognitive recovery through innovative intervention programs. This comprehensive database will provide an integrated repository of data with which our researchers will investigate and test original ideas, ultimately leading to knowledge that can be applied clinically to benefit stroke survivors.

Proper citation: Stroke Patient Recovery Research Database (SPReD) (RRID:SCR_005508) Copy   

•   Source: SciCrunch Registry

https://open.med.harvard.edu/display/SHRINE/Community

Software providing a scalable query and aggregation mechanism that enables federated queries across many independently operated patient databases. This platform enables clinical researchers to solve the problem of identifying sufficient numbers of patients to include in their studies by querying across distributed hospital electronic medical record systems. Through the use of a federated network protocol, SHRINE allows investigators to see limited data about patients meeting their study criteria without compromising patient privacy. This software should greatly enable population-based research, assessment of potential clinical trials cohorts, and hypothesis formation for followup study by combining the EHR assets across the hospital system. In order to obtain the maximum number of cases representing the study population, it is useful to aggregate patient facts across as many sites as possible. Cutting across institutional boundaries necessitates that each hospital IRB remain in control, and that their local authority is recognized for each and every request for patient data. The independence, ownership, and legal responsibilities of hospitals predetermines a decentralized technical approach, such as a federated query over locally controlled databases. The application comes with the SHRINE Core Ontology but it can be used with any ontology, even one that is disease specific. The Core Ontology is designed to enable the widest range of studies possible using facts gathered in the EMR during routine patient care. SHRINE allows multiple ontologies to be used for different research purposes on the same installed systems.

Proper citation: SHRINE (RRID:SCR_006293) Copy   

•   Source: SciCrunch Registry

http://emsci.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 6, 2023. A clinical spinal cord injury network that provides a database of clinical assessment data from spinal cord injured patients. The EMSCI assessment scheme currently consists of the so called core sets: neurological (ISNCSCI), functional (10MWT, 6MWT, TUG, WISCI2) measurements and independence measures (SCIM3). Additional assessments are: neurophysiology (MEP, SSEP, NCV), pain, hand function and an urodynamics.

Proper citation: European Multicenter Study about Spinal Cord Injury (RRID:SCR_003720) Copy   

•   Source: SciCrunch Registry

http://www.bic.mni.mcgill.ca/

Center dedicated to understanding and treatment of neurological diseases by creating and using imaging methods to study human nervous system. Dedicated to research imaging of human brain. Brain structure is imaged using anatomical Magnetic Resonance Imaging (aMRI) while brain physiology is imaged using Positron Emission Tomography (PET), Magnetic Resonance Spectroscopy (MRS), functional MRI (fMRI) and magnetoencephalography (MEG). BIC maintains linkages with clinical, clinical research and basic research communities within Montreal Neurological Institute (MNI), McGill University and has collaborations across Quebec, Canada, USA and internationally.

Proper citation: McConnell Brain Imaging Center (RRID:SCR_008364) Copy   

•   Source: SciCrunch Registry

http://www.swanrepository.com/

The SWAN Repository is the biologic specimen bank of the Study of Women''s Health Across the Nation (SWAN). SWAN is a National Institutes of Health funded, multi-site, longitudinal study of the natural history of the midlife including the menopausal transition. The overall goal of SWAN is to describe the chronology of the biological and psychosocial characteristics that occur during midlife and the menopausal transition. In addition, SWAN is describing the effect of the transition and its associated characteristics on subsequent health and risk factors for age related chronic diseases. SWAN was designed to collect and analyze information on demographics, health and social characteristics, reproductive history, pre-existing illness, physical activity, and health practices of mid-life women in multi-ethnic, community-based samples; elucidate factors that differentiate symptomatic from asymptomatic women during the menopausal transition; identify and utilize appropriate markers of the aging of the ovarian-hypothalamo-pituitary axis and relate these markers to alterations in menstrual cycle characteristics as women approach and traverse the menopause; and explain factors that differentiate women most susceptible to long-term pathophysiological consequences of ovarian hormone deficiency from those who are protected. The biological specimen bank can also be linked by identification number (not by participant name) to data collected in the Core SWAN protocol. The specimen bank can also be linked with data from the Daily Hormone Study as well as menstrual calendars. Types of data include: epidemiological data, psychosocial data, physical measures, as well as data from assays (endocrine and cardiovascular information). SWAN has seven clinical study sites located in six states, two in California, and one each in Chicago, Boston, Detroit area, northern New Jersey and Pittsburgh. The SWAN cohort was recruited in 1996/7 and consists of 3302 African American, Caucasian, Chinese American, Hispanic and Japanese American women. Cohort members complete an annual clinic visit. The Core Repository includes over 1.8 million samples from the first 11 years of specimen collection. This includes samples from annual visits and samples from the Daily Hormone Sub-study (DHS). During an Annual visit, participants provide materials for up to 24-28 aliquots to be incorporated into the Repository. During a DHS visit, a participant provides 6 serum samples and between ~30-50 urine samples depending upon the length of her menstrual cycle. DHS participants (887) provide urine samples collected throughout one menstrual cycle each year. A typical DHS collection consists of a blood draw plus collection of 10 ml of urine daily throughout the month-long menstrual cycle, up to 50 days. DHS Repository samples consist of 6 serum samples and 30 5 ml urine samples. Specimen collection occurs from the time of menstrual bleed to the subsequent menstrual bleed or up to 50 days, whichever come first. The current DHS collection consists of more than 200,000 specimens stored in 5 ml vials. The SWAN DNA Repository currently contains extracted diluted DNA from 1538 SWAN participants. B-lymphocytes were transformed with Epstein Barr virus, and the resulting transformed b-cells aliquoted. Information about using these transformed cells for genomic or proteomic studies is available. DNA has been extracted from one aliquot (per woman) of the immortalized cells using the Puregene system. There was an average DNA yield of 217.0 mg/mL and a A260/A280 average ratio of 1.86. This DNA, in turn, has been aliquoted into 20ng/1 ml units for release by the DNA Repository. Samples are free of personal identifiers and collected under consents that allow a broad range of activities related to women''s health. All of these samples are available to researchers who wish to study the midlife and menopausal transition. Scientists who use these specimens can also request data collected during a participant''s annual visit including medical and health history, psychosocial measures, biological measures and anthropometry.

Proper citation: Study of Womens Health Across the Nation (SWAN) Repository (RRID:SCR_008810) Copy   

•   Source: SciCrunch Registry

http://www.nihclinicalcollection.com

A plated array of approximately 450 small molecules that have a history of use in human clinical trials. The collection was assembled by the National Institutes of Health (NIH) through the Molecular Libraries Roadmap Initiative as part of its mission to enable the use of compound screens in biomedical research. Similar collections of FDA approved drugs have proven to be rich sources of undiscovered bioactivity and therapeutic potential. The clinically tested compounds in the NCC are highly drug-like with known safety profiles. These compounds can provide excellent starting points for medicinal chemistry optimization and, for high-affinity targets, may even be appropriate for direct human use in new disease areas.

Proper citation: NIH Clinical Collection (RRID:SCR_007349) Copy   

•   Source: SciCrunch Registry

http://www.gtec.at/Products/Software/g.BSanalyze-Specs-Features

An interactive environment for multimodal biosignal data processing and analysis in the fields of clinical research and life sciences. It is the most comprehensive package to analyze non-invasive and invasive brain-, heart- and muscle-functions and dysfunctions. It includes many functions such as support vector machines, event-related ECG, support for P300 and SSVEP/SSSEP BCIs, zero class detection for BCIs, compressed spectral array, minimum energy, and more! g.BSanalyze consists of a base version for data import, visualization, transformation and pre-processing and has several dedicated toolboxes. The package comes with many sample biosignal data-sets, including P300, SSVEP, motor imagery, CSP BCIs, Tilt-Table, EPs, multi-unit activity, CFM, and ERD/ERS.

Proper citation: g.BSanalyze (RRID:SCR_009625) Copy   

•   Source: SciCrunch Registry

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3860449/

Collection of far reaching initiatives designed to transform research capabilities and improve translation of research into practice. Program consists of three major themes: new pathways to discovery, research teams of future, and reengineering clinical research enterprise.

Proper citation: NIH Roadmap (RRID:SCR_011465) Copy   

•   Source: SciCrunch Registry

http://erin.sfn.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 23,2022. A database that lists, reviews, and rates resources for teaching neuroscience at the graduate and undergraduate level.

Proper citation: Educational Resources in Neuroscience (RRID:SCR_000169) Copy   

•   Source: SciCrunch Registry

http://www.nihpromis.org/

Repository of person centered measures that evaluates and monitors physical, mental, and social health in adults and children.

Proper citation: Patient-Reported Outcomes Measurement Information System (RRID:SCR_004718) Copy   

•   Source: SciCrunch Registry

http://www.chang-gung.com/

Stroke patient registry containing thousands of patient CT scans, primarily as well as follow up medical information.

Proper citation: Stroke Registry in Chang Gung Healthcare System (RRID:SCR_011083) Copy   

•   Source: SciCrunch Registry