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http://www.biobanks.se/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 3rd,2023. The National Biobank Program is a joint national program of two Swedish investments on functional genomics, Swegene and Wallenberg Consortium North. This web-site is intended as an information resource on biobanks in Sweden, where knowledge about the Swedish biobanking system is mediated and the progress of the National Biobanking Program is presented. You will also find a list of individual Swedish biobanks. The main objectives of the National Biobank Program are: * to increase the knowledge of the Swedish biobanking system * to increase the quality of Swedish biobanks * to increase usability and availability of samples stored in Swedish biobanks for use in research, diagnosis and treatment * to increase the safety of the providers of samples by stimulating increased protection of the personal integrity and increased ethical awareness The National Biobank Program works through financing of strategic investments to improve biobanking systems of national interest. The program has a budget of SEK 26.4 million for the period of 2002 to 2003.

Proper citation: Swedish National Biobank Program (RRID:SCR_004889) Copy   

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http://www.adrccares.org/

The Alzheimer's and Dementia Resource Center (ADRC) facilitates tissue donations for the Brain Bank Research Program in order to help find better treatments, more diagnostic tools and a cure for Alzheimer's disease and dementia. The Brain Bank Program is administered by Mount Sinai Medical Center in Miami Beach and under contract with the Florida Department of Elder Affairs. ADRC also provides caregivers with the educational resources, spiritual comfort and emotional support. The ADRC facilitates training for professional caregivers that meets requirements for the Florida Department of Elder Affairs.

Proper citation: Alzheimer's and Dementia Resource Center (RRID:SCR_004924) Copy   

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http://purl.bioontology.org/ontology/PHENOMEBLAST

A cross-species phenotype and anatomy ontology resulting from combining available anatomy and phenotype ontologies and their definitions. The ontology includes phenotype definitions for yeast, mouse, fish, worm, fly and human phenotypes and diseases.

Proper citation: PhenomeBLAST Ontology (RRID:SCR_005139) Copy   

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https://datashare.ed.ac.uk/handle/10283/3844

Genome transcriptome atlas by RNA in situ hybridization on sagittal sections of developing mouse at embryonic day 14.5. Consists of searchable database of annotated images that can be interactively viewed. Anatomy based expression profiles for coding genes and microRNAs, tissue specific genes. Expression data generated by using human and murine tissue arrays.

Proper citation: Eurexpress (RRID:SCR_005093) Copy   

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http://fcon_1000.projects.nitrc.org/fcpClassic/FcpTable.html

1200+ ''resting state'' functional MRI (R-fMRI) datasets independently collected at 33 sites and donated by the principal investigators for the purpose of providing the broader imaging community complete access to a large-scale functional imaging dataset. Age, sex and imaging center information are provided for each of the datasets. In accordance with HIPAA guidelines, all datasets are anonymous, with no protected health information included. We anticipate this data-sharing effort will equip researchers with a means of exploring and refining R-fMRI approaches, and facilitate the growing ethos of sharing and collaboration. Disclaimer: The ''1000 Functional Connectomes Project'' datasets are provided freely without assurance of quality or appropriateness for usage.

Proper citation: FCP Classic Data Sharing Samples (RRID:SCR_005362) Copy   

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http://www.icn.ucl.ac.uk/motorcontrol/

Using robotic devices to investigate human motor behavior, this group develops computational models to understand the underlying control and learning processes. By simulating novel objects or dynamic environments they study how the brain recalibrates well-learned motor skills or acquires new ones. These insights are used to design fMRI studies to investigate how these processes map onto the brain. They have developed a number of novel techniques of how to study motor control in the MRI environment, and how to analyze MRI data of the human cerebellum. They also study patients with stroke or neurological disease to further determine how the brain manages to control the body.

Proper citation: UCL Motor Control Group (RRID:SCR_005271) Copy   

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http://phenotype.mc.vanderbilt.edu/

Collaborative environment of building and validating electronic phenotype algorithms using electronic medical records (EMRs) and natural language processing (NLP) for use in genome-wide association studies (GWAS). On this site you can: View existing algorithms, Enter or create new algorithms, Collaborate with others to create or review algorithms, View implementation details for existing algorithms. The Electronic Medical Records and Genomics Network (eMERGE) has investigated whether data captured through routine clinical care using electronic medical records (EMRs) can identify disease phenotypes with sufficient positive and negative predictive values for use in genome-wide association studies (GWAS). Most EMRs captured key information (diagnoses, medications, laboratory tests) used to define phenotypes in a structured format; in addition, natural language processing has also been shown to improve case identification rates. PheKB is an outgrowth of that validation effort. Phenotype algorithms can be viewed by data modalities or methods used: CPT codes, ICD 10 codes, ICD 9 codes, Laboratories, Medications, Vital Signs, Natural Language Processing Algorithms can also be viewed by: * Implementation results (positive predictive value, sensitivity, publications) * Institution * Work Group

Proper citation: PheKB (RRID:SCR_005292) Copy   

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https://www.urmc.rochester.edu/neurosurgery/specialties/neurooncology.aspx

Collaborative neuro-oncology research program with a tissue repository (tumor bank) containing a wide range of clinical specimens, which they make available to researchers in order to study the effects of new drugs on a large number and wide range of tumor specimens. They provide highly coordinated, complex care in neurosurgery, radiation oncology, medical oncology, and neurology to patients afflicted with tumors of the brain and spine by combining the newest technologies and treatments available anywhere in the world. The program is formed from a multidisciplinary group with a goal of helping patients navigate the complex issues surrounding brain and spinal cancer care. The researchers are working to increase the number of targets that could be considered for anti-angiogenesis therapy. Many of their studies focus on the blood vessel cells (endothelial cells) themselves, which, unlike tumor cells, rarely mutate and so might be less likely to become resistant to therapy and are also more easily reached through the bloodstream. Their researchers are also attempting to better understand the changes in the blood-brain barrier (BBB) that are associated with fluid accumulation and brain swelling (edema) in neuro-oncology patients. Normal brain tissue is shielded from the rest of the body by the BBB. This barrier is composed of very tight blood vessels that prevent most substances from entering the brain. Brain tumors have a leaky BBB ����?? this feature can be used to identify tumors on MRI scans. They have identified specific molecules that appear to be associated with the leaky, abnormal vessels while the normal blood vessels with intact BBB produce these molecules at very low levels or not at all. Inhibiting the function of these molecules may help control or prevent disruption of the BBB and limit cerebral edema in brain tumor patients, as well as patients suffering from stroke or traumatic brain injury.

Proper citation: University of Rochester Program for Brain Tumors and Spinal Tumors (RRID:SCR_005343) Copy   

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http://ucneuroscience.com/

Leading treatment, research and teaching center for complex neurological conditions based at the University Hospital and the UC College of Medicine. Its physicians and researchers have created national models for evidence-based treatment and research of complex conditions, including ischemic and hemorrhagic stroke, brain aneurysms, brain and spinal cord trauma, brain tumors, Parkinson's disease, epilepsy and seizure disorders, multiple sclerosis, trigeminal neuralgia, Alzheimer's disease and memory disorders, mood disorders, and neuromuscular disorders. UCNI includes a team of more than 100 experts from 15 specialties who collaborate across disciplines to provide the most comprehensive diagnoses and treatments possible.

Proper citation: University of Cincinnati Neuroscience Institute (RRID:SCR_005345) Copy   

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http://cgap.nci.nih.gov/Genes/GOBrowser

With the CGAP GO browser, you can browse through the GO vocabularies, and find human and mouse genes assigned to each term. GO data updated every few months. Platform: Online tool

Proper citation: CGAP GO Browser (RRID:SCR_005676) Copy   

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http://www.nimh.nih.gov/trials/index.shtml

NIMH supports research studies on mental health and disorders. Participate, refer a patient or learn about results of studies in ClinicalTrials.gov, the NIH/National Library of Medicine''''s registry of federally and privately funded clinical trials for all disease. Find NIH-funded studies currently recruiting participants in the following mental health topics: * Anxiety Disorders ** Generalized Anxiety Disorder ** Obsessive-Compulsive Disorder (OCD) ** Panic Disorder ** Post-traumatic Stress Disorder (PTSD) ** Social Phobia (Social Anxiety Disorder) * Attention Deficit Hyperactivity Disorder (ADHD, ADD) * Autism Spectrum Disorders (Pervasive Developmental Disorders) * Bipolar Disorder (Manic-Depressive Illness) * Borderline Personality Disorder * Depression * Eating Disorders * HIV/AIDS * Schizophrenia * Suicide Prevention Information Resources for NIMH Researchers Conducting Clinical Trials * Limited Access Datasets from NIMH-Supported Clinical Trials * NIMH Policy for Recruitment of Participants in Clinical Research * NIMH Policy on Data and Safety Monitoring in Extramural Investigator-Initiated Clinical Trials * Register a study with ClinicalTrials.gov

Proper citation: NIMH Clinical Trials (RRID:SCR_005613) Copy   

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http://www.nimh.nih.gov/educational-resources/neuroscience-and-psychiatry/neuroscience-and-psychiatry-module-1-translating-neural-circuits-into-novel-therapeutics.shtml

This is the first in a series of modules on neuroscience and psychiatry. This module explores research on cognitive deficits, a core feature of schizophrenia and the single best predictor of functional outcomes in this disorder for which we currently have no treatments. This module is an example of how translational neuroscience can provide clues for the development of promising novel therapeutics.

Proper citation: Neuroscience and Psychiatry Module 1: Translating Neural Circuits into Novel Therapeutics (RRID:SCR_005609) Copy   

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http://genenet2.uthsc.edu/geneinfoviz/search.php

GeneInfoViz is a web based tool for batch retrieval of gene function information, visualization of GO structure and construction of gene relation networks. It takes a input list of genes in the form of LocusLink ID, UniGeneID, gene symbol, or accession number and returns their functional genomic information. Based on the GO annotations of the given genes, GeneInfoViz allows users to visualize these genes in the DAG structure of GO, and construct a gene relation network at a selected level of the DAG. Platform: Online tool

Proper citation: GeneInfoViz (RRID:SCR_005680) Copy   

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http://hadvwg.gmu.edu/

The Human Adenovirus Type Classification coordinates the naming of candidate new types, prior to manuscript submission for peer review. This resource contains a method of submitting candidate HAdV, criteria for a new HAdV type, and a Serotyping tool, which displays all potential types corresponding to the query serotype entered by a user. The criteria are based on discussions at the International Adenovirus Meeting (Dobog��k, Hungary; 26-30 April, 2009) and the NIH Human Adenovirus Working Group Workshop (Bethesda, MD. USA; 3 February 2011), which are summarized in a Letter to the Editor.

Proper citation: Human Adenovirus Type Classification (RRID:SCR_005753) Copy   

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http://en.opasnet.org

Opasnet is a wiki-based website and workspace for helping societal decision making. The website collects, synthesizes, and distributes people''s values and scientific information. Opasnet welcomes anyone who wants to promote science-based decision-making in any field. The specialty is that the information is structured for both scientific scrutiny and for policy use at the same time. In practice, you can do original research, store data, make models, and perform policy assessments and discuss all of that work in one workspace. Originally, the developers of Opasnet came from the environmental health, i.e. a research field that studies the impacts of environment on human health. We are actively working, among other things, on climate change and air pollution, but you can also start a new assessment about a decision of your own interest, or participate in an existing assessment. Opasnet is a website that has basically two parts. One part is a wiki site (called Opasnet wiki or simply Opasnet) that has descriptive pages with text, figures, and tables; it also contains files. The other part is a database called Opasnet Base that contains quantitative estimates about anything that is described in Opasnet. The majority of information is openly available. However, both Opasnet wiki and Opasnet Base have a protected area for working with material that is non-public for some reason.

Proper citation: Opasnet (RRID:SCR_005751) Copy   

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http://www.learnaboutsma.org/

Learn About SMA is a resource for spinal muscular atrophy (SMA) patients, families and researchers. The site includes stories of living with SMA and recent advances in the understanding and potential treatment of SMA. Learn About SMA is divided into five sections with video interviews, animations, and narrative. What is SMA? includes interviews with doctors and patients, plus an animation explaining the cause, inheritance and diagnosis of SMA. SMA Science provides an introduction to the genes and mechanisms involved with SMA, including 2-D and 3-D animations and interviews with Nobel Laureates. * In SMA Therapies doctors discuss current and potential treatments for SMA and a father describes the daily routine of physical therapies for his daughter, who has SMA. Antisense Therapy for SMA includes videos and animations to explain antisense therapy for SMA. In Living with SMA four SMA families describe daily routines, disease progression, children''s understanding of SMA, and grieving.

Proper citation: Learn about SMA website (RRID:SCR_005592) Copy   

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http://www.sociopatterns.org/

SocioPatterns is an interdisciplinary research collaboration that adopts data-driven methodology with the aim of uncovering fundamental patterns in social dynamics and coordinated human activity. To achieve its scientific goals, the SocioPatterns collaboration also contributes to the development of new technologies for collecting relevant data. In particular, the collaboration supports the development of the SocioPatterns sensing platform, which uses wireless wearable sensors to gather longitudinal data on human mobility and face-to-face proximity in real-world environments. The SocioPatterns team also works on developing tools and techniques to represent, analyze and visualize the collected data. We increasingly use digital media and computational devices in our daily activities, and leave behind a sizable amount of digital traces while doing so. The proliferation of mobile devices, and the incorporation of various sensing technologies in these devices, will further add to this growing trail of data. The possibility to mine and analyze these data, and the scale at which this can be done on contemporary computer systems, affords a novel, data-driven approach in the investigation of various aspects of human behavior. The following collection of datasets obtained through the SocioPatterns sensing platform are available: * Infectious SocioPatterns dynamic contact networks * Hypertext 2009 dynamic contact network * Primary school cumulative networks * Infectious SocioPatterns

Proper citation: SocioPatterns (RRID:SCR_005739) Copy   

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http://www.wikicancer.org/

A place where people connected to cancer can share real-life experiences -- fears, insights, stories, and advice. Adding perspectives is easy, and every contribution builds the site into a more valuable and unique community resource. Content, resources, and support on wikiCancer: * Just been diagnosed with cancer? * Living with cancer * For cancer survivors * How to support someone with cancer * Connect with other cancer patients, survivors, family and caregivers

Proper citation: wikiCancer (RRID:SCR_001824) Copy   

•   Source: SciCrunch Registry

https://rgd.mcw.edu/rgdweb/portal/home.jsp?p=4

An integrated resource for information on genes, QTLs and strains associated with diabetes. The portal provides easy acces to data related to both Type 1 and Type 2 Diabetes and Diabetes-related Obesity and Hypertension, as well as information on Diabetic Complications. View the results for all the included diabetes-related disease states or choose a disease category to get a pull-down list of diseases. A single click on a disease will provide a list of related genes, QTLs, and strains as well as a genome wide view of these via the GViewer tool. A link from GViewer to GBrowse shows the genes and QTLs within their genomic context. Additional pages for Phenotypes, Pathways and Biological Processes provide one-click access to data related to diabetes. Tools, Related Links and Rat Strain Models pages link to additional resources of interest to diabetes researchers.

Proper citation: Diabetes Disease Portal (RRID:SCR_001660) Copy   

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http://www.parkinsons.va.gov/Consortium/index.asp

A consortium created to support the provision of optimal care and education for veterans diagnosed with Parkinson's disease and related movement disorders through professional education, collaboration and advocacy.

Proper citation: National VA Parkinson's Disease Consortium (RRID:SCR_002024) Copy   

•   Source: SciCrunch Registry