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https://trialdesign.org/

Integrated platform for designing clinical trials.

Proper citation: Trialdesign (RRID:SCR_021749) Copy   

•   Source: SciCrunch Registry

https://www.microns-explorer.org/

Portal to release connectivity and functional imaging data collected by consortium of laboratories led by groups at Allen Institute for Brain Science, Princeton University, and Baylor College of Medicine, with support from broad array of teams, coordinated and funded by IARPA MICrONS program. Data include large scale electron microscopy based reconstructions of cortical circuitry from mouse visual cortex, with corresponding functional imaging data from those same neurons.

Proper citation: Microns Explorer (RRID:SCR_021678) Copy   

•   Source: SciCrunch Registry

http://connect-tbi.med.upenn.edu/

Portal for traumatic brain injury data. Common Data Elements (CDEs) and Unique Data Elements (UDEs) for digital neuropathological data and clinical data that will be collected in all CONNECT-TBI center projects. Goal is to establish multi-center, digital neuropathological data and clinical data reporting network with case accrual from each center project. Collected neuropathological data and clinical data available by sharing with center site investigators approved by Administrative Core and by submitting into FITBIR. Central TBI data repository by collecting digital neuropathological data and clinical data from TBI cases and normal controls at each center and posting library of their holdings.

Proper citation: Connect TBI (RRID:SCR_022009) Copy   

•   Source: SciCrunch Registry

https://www.cancer.gov/about-cancer/treatment/drugs

Portal to find consumer friendly information about drugs for cancer and conditions related to cancer. The list is in alphabetical order by generic name and brand name.

Proper citation: NIH NCI list of FDA approved cancer drugs (RRID:SCR_021841) Copy   

•   Source: SciCrunch Registry

http://www.psychencode.org/

Collaboration between research institutes working to provide framework of regulatory genomic elements in individuals with neuropsychiatric disorders.Collaboration has resulted in comprehensive set of manuscripts published in Science providing new insights into biology of developing, adult, and diseased human brain.Manuscripts are organized around three flagship articles, first analyzing human development, second studying disease transcriptomes, and third integrating tissue and single cell data with deep learning approaches.

Proper citation: PsychENCODE (RRID:SCR_021760) Copy   

•   Source: SciCrunch Registry

https://sites.cscc.unc.edu/aric/

Platform for prospective epidemiologic study conducted in four U.S. communities. One of most significant and longest running heart health studies and is the largest study of heart health in African Americans. ARIC investigates risk factors for heart disease and stroke, and connections between cardiovascular and cognitive health. ARIC includes two parts: Cohort Component and Community Surveillance Component. Cohort Component began in 1987, and each ARIC field center randomly selected and recruited cohort sample of individuals aged 45-64 from defined population in their community, to receive extensive examinations, including medical, social, and demographic data. In Community Surveillance Component, four communities are investigated to determine long term trends in hospitalized myocardial infarction and coronary heart disease deaths in men and women aged 35-84 years.

Proper citation: Atherosclerosis Risk in Communities (RRID:SCR_021769) Copy   

•   Source: SciCrunch Registry

http://cprc.rcm.upr.edu/?q=node/117

Facilitates supply of conventional and specific pathogen free nonhuman primates and biological samples. Priority is given to NIH-funded investigators in universities, NIH Intramural Program, and contractors working on behalf of researchers conducting experiments under NIH-funded programs. Non-NIH-funded investigators may still be considered depending on resource availability.To request for CPRC animals, authorized representative of institution will need to submit Animal Allocation Request form.

Proper citation: University of Puerto Rico Caribbean Primate Research Center (RRID:SCR_021920) Copy   

•   Source: SciCrunch Registry

https://paperswithcode.com/

Website devoted to papers that contain machine learning datasets, code, methods and evaluation tables. Done together with community, supported by NLP and ML.All content on this website is openly licenced under CC-BY-SA and everyone can contribute.Also operates specialized portals for papers with code in astronomy, physics, computer sciences, mathematics and statistics.

Proper citation: Papers with Code (RRID:SCR_021800) Copy   

•   Source: SciCrunch Registry

https://microbiomedata.org

Platform facilitates comprehensive discovery of and access to multidisciplinary microbiome data in order to unlock new possibilities with microbiome data science. Multi organizational effort to integrate microbiome data across diverse areas in medicine, agriculture, bioenergy, and environment. Founded to support long term advancement of microbiome science.

Proper citation: National Microbiome Data Collaborative (RRID:SCR_022161) Copy   

•   Source: SciCrunch Registry

https://github.com/OSS-Lab/ChemChaste

Software tool for simulating spatially inhomogenous biochemical reaction diffusion systems for modelling cell environment feedbacks. Simulation software for spatially organised biochemical systems.

Proper citation: ChemChaste (RRID:SCR_022208) Copy   

•   Source: SciCrunch Registry

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

Software that simulates PacBio reads by using either a model-based or sampling-based simulation.

Proper citation: PBSIM (RRID:SCR_002512) Copy   

•   Source: SciCrunch Registry

http://pennadc.org

A national Alzhiemer's disease research center funded by the National Institute on Aging, and the research arm of the Penn Memory Center.

Proper citation: Penn Alzheimer's Disease Center (RRID:SCR_004444) Copy   

•   Source: SciCrunch Registry

http://www.imi-getreal.eu/

Consortium that aims to improve the efficiency of the medicine development process by better incorporating estimates of relative effectiveness into drug development and to enrich decision-making by regulatory authorities and health technology assessment (HTA) bodies through: * Bringing together regulators, HTA bodies, academics, companies, patients and other societal stakeholders; * Assessing existing processes, methodologies, and key research issues; * Proposing innovative (and more pragmatic) trial designs and assessing the value of information; * Proposing and testing innovative analytical and predictive modelling approaches; * Assessing operational, ethical, regulatory issues and proposing and testing solutions; * Creating new decision making frameworks, and building open tools to allow for the evaluation of development programs and use in the assessment of the value of new medicines; * Sharing and discussing deliverables with, among others, Pharmaceutical companies, regulatory authorities, HTA / reimbursement agencies, clinicians and patient organizations; * Developing training activities for researchers, decision makers and societal stakeholders in the public and private sector in order to increase knowledge about various aspects of relative effectiveness. The expected impact is that it will contribute to the knowledge base, particularly to inform clinical decision making and improve the efficiency of the R&D process. GETREAL will help to generate a consensus on best practice in the timing, performance and use of real life clinical studies in regulatory and reimbursement decision-making. It will also help to create a strong platform for the communication of results and for future discussions in this important area.

Proper citation: GetReal (RRID:SCR_003862) Copy   

•   Source: SciCrunch Registry

http://neurobureau.projects.nitrc.org/BrainArt/Competition.html

An annual Brain-Art Competition to recognize the beauty and creativity of artistic renderings emerging from the neuroimaging community. Submission deadline: June 1st, 2012. Awards will be announced on June 11th during the OHBM conference in Beijing. (You need not be present to win) Countless hours are devoted to creation of informative visualizations for communicating neuroscientific findings. This competition once again aims to recognize the artistic creativity of our community that often goes underappreciated in the publication process. We are inviting researchers to submit their favorite unpublished works for entry. Both team and single-person entries are welcomed. The competition will have five award categories: # Best Representation of the Human Connectome # Best Abstract Brain Illustration # Best Educational Brain Illustration # Best Humorous Brain Illustration # Best Video Illustration of the Brain Submissions will be evaluated based on their aesthetic merit

Proper citation: Brain-Art Competition (RRID:SCR_005360) Copy   

•   Source: SciCrunch Registry

http://opensim.stanford.edu

OpenSim is an open-source software system that lets users develop models of musculoskeletal structures and create dynamic simulations of movement. The software provides a platform on which the biomechanics community can build a library of simulations that can be exchanged, tested, analyzed, and improved through multi-institutional collaboration. The underlying software is written in ANSI C++, and the graphical user interface (GUI) is written in Java. OpenSim technology makes it possible to develop customized controllers, analyses, contact models, and muscle models among other things. These plugins can be shared without the need to alter or compile source code. Users can analyze existing models and simulations and develop new models and simulations from within the GUI.

Proper citation: OpenSim (RRID:SCR_002683) Copy   

•   Source: SciCrunch Registry

http://www.nmr.mgh.harvard.edu/DOT/resources/tmcimg/

Software application that uses a Monte Carlo algorithm to model the transport of photons through 3D volumes with spatially varying optical properties. Both highly-scattering tissues (e.g. white matter) and weakly scattering tissues (e.g. cerebral spinal fluid) are supported. Using the anatomical information provided by MRI, X-ray CT, or ultrasound, accurate solutions to the photon migration forward problems are computed in times ranging from minutes to hours, depending on the optical properties and the computing resources available.

Proper citation: Monte Carlo Simulation Software: tMCimg (RRID:SCR_002588) Copy   

•   Source: SciCrunch Registry

http://hcv.lanl.gov/

The Hepatitis C Virus (HCV) Database Project strives to present HCV-associated genetic and immunologic data in a user-friendly way, by providing access to the central database via web-accessible search interfaces and supplying a number of analysis tools.

Proper citation: HCV Databases (RRID:SCR_002863) Copy   

•   Source: SciCrunch Registry

http://braincanada.ca/

Brain Canada is a national non-profit organization that develops and supports collaborative, multidisciplinary, multi-institutional research across the neurosciences. Through partnering with the public, private and voluntary sectors, Brain Canada connects the knowledge and resources available in this area to accelerate neuroscience research and funding and maximize the output of Canada''s world-class scientists and researchers. Brain Canada was created to address the twin challenges of increasing the scale of brain research funding in Canada and widening its scope to encourage interdisciplinary collaboration to produce insights for treating multiple disorders. Brain Canada is built on the successes and model of NeuroScience Canada (NSC). Established in 1999, NSC raised more than $11.5 million, leveraged over $20 million with partnered funding, and funded 100 individual and teams of researchers in Canada. Brain Canada is the new vision for Canadian brain researchthe voice for the brain and the grouping of brain disorders, raising awareness about their prevalence and impact on individuals, families, the economy and society. But most important, through the research we are funding, we are giving hope to the millions of Canadians who are directly or indirectly touched by diseases, disorders, and injuries of the brain, spinal cord and nervous system.

Proper citation: Brain Canada (RRID:SCR_005053) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/tumorsim/

Simulation software that generates pathological ground truth from a healthy ground truth. The software requires an input directory that describes a healthy anatomy (anatomical probabilities, mesh, diffusion tensor image, etc) and then outputs simulation images.

Proper citation: TumorSim (RRID:SCR_002604) Copy   

•   Source: SciCrunch Registry

http://165.124.81.52/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 08, 2013. A consortium of three facilities whose purpose is to establish, characterize, and distribute novel mutant mouse models with neural and/or behavioral phenotypes, and distribute them to the worldwide research community. Interested scientists are able to obtain information about mouse lines at all three sites in a single unified database. GOALS * Increase genomic and genetic tools for functional gene identification * Provide mice with mutations that alter the nervous system or behavior * Build collaborations between geneticists and neuroscientists The consortium is made up of three mutagenesis and phenotypic screening facilities, focused on identifying alterations in nervous system function and behavior, and established by NIH. They are the Neurogenomics Project at Northwestern University, the Neuroscience Mutagenesis Facility at The Jackson Laboratory, and the Neuromutagenesis Project of the Tennessee Mouse Genome Consortium. The NIH Neurogenomics Project at Northwestern University is directed by Dr. Joseph S. Takahashi, who also acts as the Director of the Neuromice.org consortium. Chemical mutagenesis is used to induce mutations throughout the genome and combined with phenotypic screens to detect mice with mutations. In order to maximize the genomic coverage and recover both dominant and recessive mutations, a dominant G1 screen and a recessive G3 screen are utilized. Phenotypic screens focus on five primary domains: learning and memory, behavioral responses to stress, responses to psychostimulants, circadian rhythmicity, and vision. The Neuroscience Mutagenesis Facility at the Jackson Laboratory is directed by Dr. Wayne N. Frankel. The Neuroscience Mutagenesis Facility is using a three-generation backcross breeding scheme to produce homozygous mutants and will thus recover dominant, semidominant, and recessive mutations. In addition, some mutagenesis will be done in ES cells followed by two generations of breeding. Phenotypic screens focus on identifying mutations affecting: motor function, seizure threshold, hearing, vision, and neurodevelopment. The Neuromutagenesis Project of the Tennessee Mouse Genome Consortium (TMGC) involves researchers throughout the state of Tennessee, under the direction of Dr. Daniel Goldowitz, Ph.D., at the University of Tennessee Health Science Center, Memphis. TMGC also includes researchers at Oak Ridge National Laboratory, Vanderbilt University, Meharry Medical College, University of Tennessee-Knoxville, St. Jude Children's Research Hospital, and the University of Memphis. The Project is using regional mutagenesis, covering regions on chromosomes 10, 14, 15, 19, and X, thus including approximately 15 of the genome in the screened region. Phenotypic screens include: motor and sensory function, learning and memory, neurohistology, aging, alcohol response, abused drug response, visual function, and social behavior. Neuromice.org has stopped taking orders online but mutants are orderable please contact the originating center for availability and pricing details. Live targeted mutant Fragile X model mice are now available for distribution.

Proper citation: neuromice (RRID:SCR_002993) Copy   

•   Source: SciCrunch Registry