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http://www3.marshfieldclinic.org/chg/pages/default.aspx?page=chg_pers_med_res_prj

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 9, 2023. A large collection of biological samples and health information collected for the Personalized Medicine Research Project (PMRP) for use in biological research. Genetic information from 20,000 participants forms a database enabling scientists to study which genes cause disease, which genes predict reactions to drugs, and how environment and genes work together to cause disease. The goal of this project is to learn how to apply genetic science to human health. This knowledge will help researchers develop new medications and diagnostic tests, and will enable physicians to prescribe medications that work best for a particular person. Marshfield Clinic Personalized Medicine Research Project (PMRP) resources currently available: DNA, plasma, serum, questionnaire, electronic medical records to construct phenotypes; ability to recontact subjects for additional information (where they have given consent for recontact); stored pathology specimens collected for clinical purposes; 51 clinically relevant polymorphisms; Illumina 660 quad for ~4200 subjects aged 50+.

Proper citation: Marshfield Clinic Biobank (RRID:SCR_004368) Copy   

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http://dbmi.mc.vanderbilt.edu/research/dnadatabank.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. BioVU is a research resource providing a View into biology at the level of DNA and other important macromolecules. BioVU has two major components. The first is a repository of DNA samples (extracted from discarded blood samples) that are coded solely by a Research Unique Identifier (RUI) derived from the Medical Record Number (MRN) using a one-way hash function. This is a computer algorithm that creates a transformation of each MRN such that the resulting RUI (which is in this instance is a 512 byte identifier) is unique, and has the property that it is not possible to infer or compute the MRN that generated it. As of early 2009, over 50,000 DNA samples were in the biobank, with new samples being added at the rate of approximately 700 per week. The second component of the resource is the creation of a database known as the Synthetic Derivative which is a collection of de-identified information extracted from VUMC''s electronic clinical information systems, indexed by the same one-way RUI used to track samples, and with content changed by deletion or permutation of all identifiers contained within each record. The Synthetic Derivative search interface is available to Vanderbilt researchers via the StarBRITE research portal created and maintained by the Vanderbilt Institute for Clinical and Translational Research. This user interface enables investigators meeting protocol approval criteria and other user agreement requirements to receive protocol-specific sets of data derived from DNA samples and from the Synthetic Derivative., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Vanderbilt BioVU (RRID:SCR_004632) Copy   

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http://www.scid4.org/

A diagnostic exam used to determine DSM-IV Axis I disorders (SCID-I) (major mental disorders) and Axis II disorders (SCID-II) (personality disorders). An Axis I SCID assessment with a psychiatric patient usually takes between 1 and 2 hours, depending on the complexity of the subject's psychiatric history and their ability to clearly describe episodes of current and past symptoms. A SCID with a non-psychiatric patient takes 1/2 hour to 1-1/2 hours. A SCID-II personality assessment takes about 1/2 to 1 hour. The instrument was designed to be administered by a clinician or trained mental health professional. (Adapter from Wikipedia)

Proper citation: Structured Clinical Interview for DSM-IV (RRID:SCR_003682) Copy   

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http://ki.se/ki/jsp/polopoly.jsp?d=29328&a=31530&l=en

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. Longitudinal Assessment of Clinical Course and BIOmarkers in severe Chronic AIRway Disease (BIOAIR) is a study within the European Network For Understanding Mechanisms Of Severe Asthma (ENFUMOSA). BIOAIR study involves studies of severe asthma. The 10% of all asthmatics who have the most difficult disease has a 5-year survival in level with severe cancer diseases, as well as account for half of the costs to society of asthma. Mechanisms for the development of severe asthma, however, is unknown. BIOAIR the project characterizes clinical Phenotype and biomarkers in a study involving 12 centers in nine European countries. In a longitudinal study comparing severe asthmatics with mild asthmatics and patients with COPD (Chronic obstructive pulmonary disease). Clinical data and medicine consumption are collected daily in over a year with the help of modern IT technology. Blood tests, urine samples, upphostningsprover and bronkialbiopsier are collected repeatedly and tested for a wide range of possible pathogenetic factors, including genotype.

Proper citation: BIOAIR - BIOmarkers in severe Chronic AIRway Disease (RRID:SCR_006007) Copy   

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http://phenotips.cs.toronto.edu/

A software tool providing a Web interface and a database back-end for collecting clinical symptoms and physical findings observed in patients with genetic disorders. The main goals of this software are * To allow for collecting patient data in standard formats, enabling effortless data exchange and automated search in annotated gene and disease databases, and * To provide advanced functionalities and a friendly user interface that help reduce the clinician''''s workload, permitting seamless use of this application within the clinician''''s routine. PhenoTips uses the Human Phenotype Ontology (HPO) to express clinical phenotypes, and provides a friendly interface with error-tolerant, predictive search of phenotypic descriptions. PhenoTips closely mirrors clinician workflows: observations can be recorded directly during the patient encounter, and the interface is compatible with any device that runs a modern Web browser. The clinician can record demographic information, family history, medical history, various standard measurements, phenotypic abnormalities detected in the patient, pertinent indications that were not observed and that can be helpful for differential diagnosis, relevant images depicting manifestations of the patient''''s disorders, and additional notes for each of these categories. The software automatically plots growth curves, selects phenotypes reflecting abnormal measurements, instantly finds OMIM disorders matching the phenotypic description and suggests other symptoms to investigate in order to reach a more accurate diagnosis.

Proper citation: PhenoTips (RRID:SCR_006340) Copy   

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http://www.alz.washington.edu/

A clinical research, neuropathological research and collaborative research database that uses data collected from 29 NIA-funded Alzheimer's Disease Centers (ADCs). The database consists of several datasets, and searches may be done on the entire database or on individual datasets. Any researcher, whether affiliated with an ADC or not, may request a data file for analysis or aggregate data tables. Requested aggregate data tables are produced and returned as soon as the queue allows (usually within 1-3 days depending on the complexity).

Proper citation: National Alzheimer's Coordinating Center (RRID:SCR_007327) Copy   

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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   

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https://sbpdiscovery.org/tag/neuroscienceandagingresearchcenter/

Center that translates basic science discoveries into new treatments to extend lifespan and to combat degenerative disorders associated with aging or development. Their researchers are discovering the etiological pathways as well as small-molecule and stem cell-based treatments to address the clinical unmet need of these patients. The Center uses a team based approach to apply their expertise in stem cells to develop therapies for new treatments for stroke and Parkinson's disease. They are also performing high-throughput screens to identify new molecules to protect the synapses of nervesthe connections between nerves that mediate movement, memory and cognition for Alzheimer's, Parkinson's and autism. By studying the links between Down syndrome and Alzheimer's disease, they are exploring new treatments to improve cognition in both disorders. Their collaborations with clinical partners enable them to test new discoveries in human trials, with a goal to improve the lives of patients and families affected by neurodegenerative disease and aging disorders.

Proper citation: Sanford-Burnham Neuroscience and Aging Research Center (RRID:SCR_001688) Copy   

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https://radiology.duke.edu/research/centers-and-shared-resources/center-advanced-magnetic-resonance-development

Research facility of the Department of Radiology at the Duke University Medical Center (DUMC) providing access to a whole-body, commercially manufactured 3 Tesla (Trio, Siemens Medical Systems) MR Imaging and Spectroscopy System with full research capability. The Center is fully equipped to perform clinical and research MR imaging or spectroscopy studies on humans or large animals. A full range of monitoring, anesthesia, RF coil development, computer and instrumental control facilities as well as MR research technologists and physics/chemistry consultation are available to Department of Radiology researchers and their collaborators.

Proper citation: CAMRD (RRID:SCR_001713) Copy   

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http://www.nature.com/jcbfm/index.html

The Journal of Cerebral Blood Flow & Metabolism stands at the interface between basic and clinical neurovascular research, and features timely and relevant research highlighting experimental, theoretical, and clinical aspects of brain circulation, metabolism and imaging. The journal is relevant to any physician or scientist with an interest in brain function, cerebrovascular disease, cerebral vascular regulation and brain metabolism, including neurologists, neurochemists, physiologists, pharmacologists, anesthesiologists, neuroradiologists, neurosurgeons, neuropathologists and neuroscientists. On this website, you will find the full text of articles published online weekly, in advance of print, the current issue and an archive of previous issues. You can also find general information about the journal, and more detailed information for readers, authors, referees, librarians, advertisers, and journalists. Most articles are published online before they appear in print. New papers are uploaded weekly to the Advance online publication (AOP) page. The online publication date is specified for each paper; these versions are identical to the printed version in every respect and may be cited using the digital object identifier (DOI).

Proper citation: Journal of Cerebral Blood Flow and Metabolism (RRID:SCR_001769) Copy   

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http://qnl.bu.edu/obart

Tool that provides an interactive method to examine quantitative relationships between brain regions defined by different digital atlases or parcellation methods. Its current focus is for human brain imaging, though the techniques generalize to other domains. The method offers a quantitative answer to the nomenclature problem in neuroscience by comparing brain parts on the basis of their geometrical definitions rather than on the basis of name alone. Thus far these tools have been used to quantitatively compare eight distinct parcellations of the International Consortium for Brain Mapping (ICBM) single-subject template brain, each created using existing atlasing methods. This resources provides measures of global and regional similarity, and offers visualization techniques that allow users to quickly identify the correspondences (or lack of correspondences) between regions defined by different atlases.

Proper citation: OBART (RRID:SCR_001903) Copy   

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https://www.mdcalc.com/calc/715/nih-stroke-scale-score-nihss

The National Institutes of Health Stroke Scale (NIHSS) is a systematic assessment tool that provides a quantitative measure of stroke-related neurological deficit. The NIHSS was originally designed as a research tool to measure baseline data on patients in acute stroke clinical trials. Now, the scale is also widely used as a clinical assessment tool to evaluate acuity of stroke patients, determine appropriate treatment, and predict patient outcome. The NIHSS can be used as a clinical stroke assessment tool to evaluate and document neurological status in acute stroke patients. The stroke scale is valid for predicting lesion size and can serve as a measure of stroke severity. The NIHSS has been shown to be a predictor of both short and long term outcome of stroke patients. Additionally, the stroke scale serves as a data collection tool for planning patient care and provides a common language for information exchanges among healthcare providers. Performing the scale takes between 5-8 minutes. Emergency physicians and nurses, neurologists, neuroscience nurses and other stroke team members are typical examples of who should be certified to perform the NIHSS. The NINDS/NIH training and testing DVD can be obtained from the National Institute of Neurological Disorders and Stroke. Sponsors: NIHSS is supported by the National Institute of Neurological Disorders and Stroke (NINDS).

Proper citation: National Institutes of Health Stroke Scale (RRID:SCR_001804) Copy   

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http://www.aspergillus-genomes.org.uk/

A resource for viewing annotated genes arising from various Aspergillus sequencing and annotation projects, resulting from the merging of Central Aspergillus Data REpository (CADRE) and The Aspergillus Website, which took place in June 2008. The principal role of CADRE is to aid the Aspergillus research community by managing Aspergillus genome data and by providing visualization tools, ranging from relatively simple annotation displays to more complex data integration displays. In contrast, The Aspergillus Website provides a range of information to the medical community (i.e., clinicians, patients and scientists) regarding the genus Aspergillus and the diseases, such as Aspergillosis, that it can cause. CADRE has been implemented using the Ensembl v22 suite. This suite comprises: * a database schema, which has been devised for storing annotated eukaryotic genomes. The schema is implemented with the MySQL relational database management system. * several specialized programming modules for building interfaces (i.e., BioPerl and Ensembl API modules). * a series of programs (i.e., Perl CGI scripts using the API modules) for viewing genomic data within a web browser., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Aspergillus Genomes (RRID:SCR_001880) Copy   

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http://www.va.gov/visn4mirecc/

The mission of the VISN 4 MIRECC is the treatment and prevention of comorbid medical, mental health, and/or substance use disorders, with the aim of improving the health, quality of life, and outcomes of healthcare services for veterans with mental illness. This is accomplished through the integration of basic, clinical, and services research and educational and clinical programs. The objectives of this MIRECC are: * Develop new empirical knowledge that can be directly applied to improve the clinical care of veterans * Provide education to providers and trainees to enhance the delivery of high quality healthcare to veterans * Impact public health in terms of veterans' mental health and quality of life * Serve as a national resource in education, research, and treatment of patients with comorbidity, and as a replicable model of excellence in clinical and educational programs Examine causal factors in the development of comorbid conditions. Assess impact of comorbidity on: * the identification and classification of disorders * the development and implementation of treatments * access to treatment and the impact of treatments on outcomes Sponsors: This work is supported by the US Department of Veterans Affairs

Proper citation: VISN 4 MIRECC (RRID:SCR_001970) Copy   

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http://library.med.utah.edu/WebPath/webpath.html#MENU

This popular web resource includes over 1900 images along with text, tutorials, laboratory exercises, and examination items for self-assessment that demonstrate gross and microscopic pathologic findings associated with human disease conditions. Content includes pathology cases (surgical pathology, autopsy, cytopathology, forensic pathology, clinical pathology) at the University of Utah Health Sciences Center and affiliated hospitals and laboratories, and from contributors at other institutions worldwide. The content at this web site will assist a medical student in achievement of an important goal: passing step 1 of the USMLE examination required to become licensed as a physician. This site was conceived from the necessity to create useful multimedia teaching resources for medical students at the University of Utah for use in the pathology courses given in the second year of the curriculum.

Proper citation: WebPath - The Internet Pathology Laboratory for Medical Education (RRID:SCR_002033) Copy   

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http://sourceforge.net/projects/dmetanalyzer/

Software tool for the automatic association analysis among the variation of the patient genomes and the clinical conditions of patients, i.e. the different response to drugs. The system allows: (i) to automatize the workflow of analysis of DMET (drug metabolism enzymes and transporters)-SNP (Single Nucleotide Polymorphism) data avoiding the use of multiple tools; (ii) the automatic annotation of DMET-SNP data and the search in existing databases of SNPs (e.g. dbSNP), (iii) the association of SNP with pathway through the search in PharmaKGB, a major knowledge base for pharmacogenomic studies. It has a simple graphical user interface that allows users (doctors/biologists) to upload and analyze DMET files produced by Affymetrix DMET-Console in an interactive way.

Proper citation: DMET-Analyzer (RRID:SCR_002030) Copy   

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https://datashare.nida.nih.gov

Website which allows data from completed clinical trials to be distributed to investigators and public. Researchers can download de-identified data from completed NIDA clinical trial studies to conduct analyses that improve quality of drug abuse treatment. Incorporates data from Division of Therapeutics and Medical Consequences and Center for Clinical Trials Network.

Proper citation: NIDA Data Share (RRID:SCR_002002) Copy   

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https://meded.ucsd.edu/index.cfm/asa/dcp/goddp/

The UCSD School of Medicine are dedicated to producing future leaders in all areas of medicine. As such, the School promotes the pursuit of dual degrees, either in the Medical School's own graduate degree programs or programs offered in other disciplines in the institution. In addition to the study of medicine, the School of Medicine actively encourages its student body to explore broadly in various scholarly areas related to the biomedical sciences. The goal of this additional training is to produce graduates who will bring fresh, innovative ideas to the research laboratory, the public health sector, the humanities and the social sciences, and the business environment. Students may elect to obtain advanced degrees in the following areas: * Biomedical Sciences * Masters in Bioengineering * Masters in Public Health * Masters in Leadership of Health Care Organizations * Masters of Advanced Studies in Clinical Research * Ph.D. Program in the Humanities and Social Sciences * Independent Ph.D. programs Opportunities for enrollment in research or degree programs outside of UCSD are also available, and students are encouraged to investigate these, if interested. Sponsors: This program is supported by the University of California at San Diego.

Proper citation: University of California at San Diego, School of Medicine: Graduate Opportunities & Dual Degree Programs (RRID:SCR_001942) Copy   

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http://www.incf.org/

Independent international facilitator catalyzing and coordinating global development of neuroinformatics aiming to advance data reuse and reproducibility in global brain research. Integrates and analyzes diverse data across scales, techniques, and species to understand brain function and positively impact the health and well being of society.

Proper citation: International Neuroinformatics Coordinating Facility (RRID:SCR_002282) Copy   

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http://www.bioon.com/bioline/neurosci/course/index.htm

An illustrated guide to the essential basics of clinical neuroscience created in conjunction with the first-year course for medical students.
Topics covered:
* Coronal and horizontal sections
* Basic visual pathway
* Basic somatosensory pathway
* Basic motor pathway
* Eye and retina
* Central visual pathways
* Auditory and vestibular systems
* Somatosensory pathways from the body
* Somatosensory pathways from the face
* Spinal motor structures
* Brainstem nuclei of cranial nerves
* Basal ganglia and cerebellum
* Hypothalamus and autonomic nervous system
* Medial temporal lobe and memory
* Sleep and language
* Where is...?

Proper citation: Washington University School of Medicine Neuroscience Tutorial (RRID:SCR_002271) Copy   

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