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https://tudelftroboticsinstitute.nl

Unites all Delft University of Technology research in the field of robotics. Its main challenge is to get robots and humans to work together effectively in unstructured environments, and real settings. Institute takes a leading role in the creation of the next generation robots.

Proper citation: Delft University of Technology Robotics Institute (RRID:SCR_025112) Copy   

•   Source: SciCrunch Registry

http://rdocdb.nimh.nih.gov

A database that houses human subjects data related to mental health research. Data from 691 subjects are shared in RDoCdb and data from 100,500 subjects are shared in the NIMH Data Archive. Users can plan for data submission, share data, query data, or share their results related to a publication or finding.

Proper citation: RDoCdb (RRID:SCR_013796) Copy   

•   Source: SciCrunch Registry

http://aging.brain-map.org/

The Aging, Dementia and Traumatic Brain Injury Study is a detailed neuropathologic, molecular and transcriptomic characterization of brains of control and TBI exposure cases from a unique aged population-based cohort from the Adult Changes in Thought (ACT) study. The study contains six data sets: histology and immunohistochemistry, in situ hybridization, rna-seq, protein quantification by luminex, isoprostane quantification, and specimen metadata.

Proper citation: Aging Dementia and Traumatic Brain Injury Study (RRID:SCR_014554) Copy   

•   Source: SciCrunch Registry

http://humancyc.org/

The HumanCyc database describes human metabolic pathways and the human genome. By presenting metabolic pathways as an organizing framework for the human genome, HumanCyc provides the user with an extended dimension for functional analysis of Homo sapiens at the genomic level. A computational pathway analysis of the human genome assigned human enzymes to predicted metabolic pathways. Pathway assignments place genes in their larger biological context, and are a necessary step toward quantitative modeling of metabolism. HumanCyc contains the complete genome sequence of Homo sapiens, as presented in Build 31. Data on the human genome from Ensembl, LocusLink and GenBank were carefully merged to create a minimally redundant human gene set to serve as an input to SRI''s PathoLogic software, which generated the database and predicted Homo sapiens metabolic pathways from functional information contained in the genome''s annotation. SRI did not re-annotate the genome, but worked with the gene function assignments in Ensembl, LocusLink, and GenBank. The resulting pathway/genome database (PGDB) includes information on 28,783 genes, their products and the metabolic reactions and pathways they catalyze. Also included are many links to other databases and publications. The Pathway Tools software/database bundle includes HumanCyc and the Pathway Tools software suite and is available under license. This form of HumanCyc is faster and more powerful than the Web version.

Proper citation: HumanCyc: Encyclopedia of Homo sapiens Genes and Metabolism (RRID:SCR_007050) Copy   

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http://humanconnectome.org/consortia/

Project to map the neural pathways that underlie human brain function for several modalities of neuroimaging data including fMRI. The purpose of the Project is to acquire and share data about the structural and functional connectivity of the human brain. It will greatly advance the capabilities for imaging and analyzing brain connections, resulting in improved sensitivity, resolution, and utility, thereby accelerating progress in the emerging field of human connectomics. Altogether, the Human Connectome Project will lead to major advances in the understanding of what makes us uniquely human and will set the stage for future studies of abnormal brain circuits in many neurological and psychiatric disorders. The sixteen institutes and centers of the NIH Blueprint for Neuroscience have funded two major grants that will take complementary approaches to deciphering the brain's amazingly complex wiring diagram. An 11-institution consortium led by Washington University in St. Louis and the University of Minnesota received a 5-year grant to enable development and utilization of advanced Magnetic Resonance Imaging (MRI) methods to chart brain circuitry. A consortium led by Massachusetts General Hospital and the University of California at Los Angeles received a grant to enable building and refining a next-generation 3T MR scanner that improves the quality and spatial resolution with which brain connectivity data can be acquired at this field strength.

Proper citation: NIH Human Connectome Project (RRID:SCR_006942) Copy   

•   Source: SciCrunch Registry

http://www.alttox.org/

A website dedicated to advancing non-animal methods of toxicity testing, both to better protect the health of humans, animals, and the environment and to reduce the numbers and suffering of animals used in current toxicology assessments. The website is designed to encourage the exchange of technical and policy information on in vitro and in silico methods for all types of toxicity tests. The AltTox Forum is a message board for the AltTox community to use for posting news, information, and perspectives as well as encouraging feedback and commentary. This online community is intended to foster progress internationally in the development, validation, and acceptance of in vitro methods, with the goal of decreasing our reliance on animal-based safety testing. The Forum is moderated by a group of internationally-recognized subject matter experts. The Way Forward invited commentaries, which are posted in the TTRC, are opinion pieces written by experts in each relevant subfield. These essays are meant to help chart the course for future developments by advancing opportunities to overcome challenges and barriers to progress. Stakeholders are invited to comment on these essays in The AltTox Forum. AltTox users are encouraged to contribute to the website and interact with other users in several ways, including: :- Participating in the online forum :- Providing invited expert commentaries :- Suggesting or submitting content, events, monthly features, data, and graphics :- Providing feedback through the Website Feedback surve To encourage objectivity, the website content is overseen by an editorial board of distinguished subject matter experts.

Proper citation: AltTox: Non-animal Methods for Toxicity Testing (RRID:SCR_007212) Copy   

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https://www.icts.uiowa.edu/confluence/dashboard.action

A group of software packages for image analysis, mainly used in MRI image processing. BRAINS (Brain Research: Analysis of Images, Networks, and Systems) contains manual and automated tools for structural identification and methods for tissue classification and cortical surface generation. BRAINS2 is most commonly used to analyze magnetic resonance (MR) scans, but the package can also be used to analyze images acquired with positron emission tomography (PET), single photon emission computed tomography (SPECT), and functional magnetic resonance (fMR). It is implemented in an object-oriented, cross-platform compatible manner and includes a toolbar and command line interface, a graphical interface, and a computational kernel.

Proper citation: Brain Research: Analysis of Images, Networks and Systems (RRID:SCR_007357) Copy   

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http://hearingimpairment.jax.org/screening.html

The fairly common occurrence of hearing-loss or deafness in both humans and mice, and the anatomical and functional similarities of their inner ears, attest to the potential of mice as models to study hereditary hearing loss. Hundreds of standard inbred, recombinant inbred, and congenic strains are maintained at The Jackson Laboratory, as well as hundreds of inbred strains with spontaneous or induced mutations. To assess hearing impairment in inbred and mutant strains of mice we measure auditory-evoked brainstem response (ABR) thresholds.

Proper citation: The Jackson Laboratory Hearing Research Program (RRID:SCR_007196) Copy   

•   Source: SciCrunch Registry

http://archive.cnbc.cmu.edu/Resources/disordermodels/index.html

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. This site aims to provide a discussion and source list for connectionist and neural network models of disorders associated with mental or brain conditions. Recent connectionist and neural network models of behavior, information processing patterns, and brain activity present in people with cognitive, affective, brain, and behavioral disorders are reviewed on this web site. Ways that assumptions regarding normal and disordered behavior may be represented in connectionist models are discussed for features of various disorders. Similarities and differences between the models and criteria for their evaluation are presented, and suggestions for inclusion of information which may help to make these models more directly comparable in the future are considered. References to Connectionist Models of Cognitive, Affective, Brain, and Behavioral Disorders include: General Neural Network Information Reviews, General Introductions, and Calls for More Connectionist Models of Mental Disorders Models of Psychopathologies and Psychiatric Disorders Models of Cognitive, Affective, Brain, and Behavioral Disorders Not Associated with Psychopathology Additionally, Web Sites for Neural Network Modelers of Disorder are provided.

Proper citation: Connectionist Models of Cognitive, Affective, Brain, and Behavioral Disorders (RRID:SCR_008088) Copy   

•   Source: SciCrunch Registry

http://www.cnbc.cmu.edu/ibsc/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on February 07, 2013. A framework for understanding human cognition, grounded in principles specifying the character of human cognitive processes, and constrained by properties, of the underlying neural mechanisms. The Center will exploit this framework to guide formulation of explicit, testable models of normal and disordered cognition, including models of the development of cognitive functions and of their disintegration as a result of brain damage or disease. This site is intended as a public service and as a focal point for exchange of ideas among the participants in the Interdisciplinary Behavioral Science Center (IBSC). Public areas of the site provide information about the Center as a whole and about the various projects in the Center, as well as web-accessible documents and tools that we are making available as a public service. A fundamental tenet is that cognition is an emergent phenomenon, arising from the interactions of cooperating processing elements organized into specialized populations. One aim of the center will be to investigate the utility of explicit models that are formulated in terms of this approach, addressing many aspects of cognition including semantic knowledge, language processing, cognitive control, perception, learning and memory. A second aim will also investigate the principles that are embodied in the models, including principles of learning, processing and representation. Learning will be a central focus, since it plays a crucial role in cognitive development, acquisition of skills, formation of memories, and remediation of cognitive functions. A third aim of the Center will be to incorporate constraints from neuroscience. Findings from neuroscience will guide the specification of the principles and the formulation of domain-specific details of particular models, and will provide target experimental observations against which to assess the adequacy of the models. In addition, the Center will make use of neurophysiological methods in animals and functional brain imaging in humans to test predictions and generate additional data needed to constrain and inform model development. The Center will provide training funds for interdisciplinary research fellowships, to train junior scientists in the convergent use of behavioral, computational, and neuroscience methodologies. The outcome of the Centers efforts will be a fuller characterization of the nature of human cognitive processes, a clearer formulation of the underlying principles, and a more complete understanding of normal and disordered functions across many domains of cognition. This Center includes eight projects dedicated to various aspects of cognition and various general issues that arise in the effort to build explicit models that capture different aspects of cognition, and also includes an administrative core to help foster integration and provide computing resources. * Project 1: Functional and Neural Organization of Semantic Memory * Project 2: Interactive Processes in Language: Lexical Processing * Project 3: Interactive Processes in Language: Sentence Processing * Project 4: Mechanisms of Cognitive Control * Project 5: Interactive Processes in Perception: Neurophysiology of Figure-Ground Organization * Project 6: Basic Mechanisms and Cooperating Systems in Learning Memory * Project 7: Age and Experience Dependent Processes in Learning * Project 8: Theoretical Foundations * Core: Integration, Computational Resources, and Administration

Proper citation: NIMH Interdisciplinary Behavioral Science Center (RRID:SCR_008085) Copy   

•   Source: SciCrunch Registry

http://www.adrc.pitt.edu/

A research center associated with the University of Pittsburgh that specializes in the diagnosis of Alzheimer's disease and related disorders. The overall objective of the ADRC is to study the pathophysiology of Alzheimer's disease, with the aim of improving the reliability of diagnosis of Alzheimer's and developing effective treatment strategies. Current research foci emphasize neuropsychiatry and neuropsychology, molecular genetics and epidemiology, basic neuroscience, and structural and functional imaging that aid in the diagnosis and treatment of Alzheimer's disease. Specific services at the ADRC include: comprehensive diagnostic evaluation of patients with suspected Alzheimer's disease and other forms of dementia; evaluation of memory, language, judgment, and other cognitive abilities; and education and counseling for patients and families.

Proper citation: University of Pittsburgh Alzheimer Disease Research Center (RRID:SCR_008084) Copy   

•   Source: SciCrunch Registry

http://brainspan.org/

Atlas of developing human brain for studying transcriptional mechanisms involved in human brain development. Consists of RNA sequencing and exon microarray data profiling up to sixteen cortical and subcortical structures across full course of human brain development, high resolution neuroanatomical transcriptional profiles of about 300 distinct structures spanning entire brain for four midgestional prenatal specimens, in situ hybridization image data covering selected genes and brain regions in developing and adult human brain, reference atlas in full color with high resolution anatomic reference atlases of prenatal (two stages) and adult human brain along with supporting histology, magnetic resonance imaging (MRI) and diffusion weighted imaging (DWI) data.

Proper citation: Allen Human Brain Atlas: BrainSpan (Atlas of the Developing Brain) (RRID:SCR_008083) Copy   

•   Source: SciCrunch Registry

http://genomics.senescence.info/

Collection of databases and tools designed to help researchers study the genetics of human ageing using modern approaches such as functional genomics, network analyses, systems biology and evolutionary analyses. A major resource in HAGR is GenAge, which includes a curated database of genes related to human aging and a database of ageing- and longevity-associated genes in model organisms. Another major database in HAGR is AnAge. Featuring over 4,000 species, AnAge provides a compilation of data on aging, longevity, and life history that is ideal for the comparative biology of aging. GenDR is a database of genes associated with dietary restriction based on genetic manipulation experiments and gene expression profiling. Other projects include evolutionary studies, genome sequencing, cancer genomics, and gene expression analyses. The latter allowed them to identify a set of genes commonly altered during mammalian aging which represents a conserved molecular signature of aging. Software, namely in the form of scripts for Perl and SPSS, is made available for users to perform a variety of bioinformatic analyses potentially relevant for studying aging. The Perl toolkit, entitled the Ageing Research Computational Tools (ARCT), provides modules for parsing files, data-mining, searching and downloading data from the Internet, etc. Also available is an SPSS script that can be used to determine the demographic rate of aging for a given population. An extensive list of links regarding computational biology, genomics, gerontology, and comparative biology is also available.

Proper citation: Human Ageing Genomic Resources (RRID:SCR_007700) Copy   

•   Source: SciCrunch Registry

http://stroke.nih.gov/

Campaign to help educate the public about the symptoms of stroke and the importance of getting to the hospital quickly, with a wide range of materials about stroke prevention, treatment, and rehabilitation available through the site. The campaign includes outreach to consumers and health care professionals using mass media, grassroots outreach, partnerships, and community education.

Proper citation: Know Stroke Campaign (RRID:SCR_008073) Copy   

•   Source: SciCrunch Registry

http://www.dnaftb.org/dnaftb/

An animated primer on the basics of DNA, genes, and heredity organized around three key concepts: Classical Genetics, Molecules of Genetics, and Genetic Organization and Control. The science behind each concept is explained by: animation, image gallery, video interviews, problem, biographies, and links.

Proper citation: DNA From The Beginning: AN Animated Primer on the Basics of DNA, Genes, and Heredity (RRID:SCR_008028) Copy   

•   Source: SciCrunch Registry

http://www.genome.wisc.edu/

The E. coli Genome Project has the goal of completely sequencing the E. coli and human genomes. They began isolation of an overlapping lambda clonebank of E. coli K-12 strain MG1655. Those clones served as the starting material in our initial efforts to sequence the whole genome. Improvements in sequencing technology have since reached the point where whole-genome sequencing of microbial genomes is routine, and the human genome has in fact been completed. They initiated additional sequencing efforts, concentrating on pathogenic members of the family Enterobacteriaceae -- to which E. coli belongs. They also began a systematic functional characterization of E. coli K-12 genes and their regulation, using the whole genome sequence to address how the over 4000 genes of this organism act together to enable its survival in a wide range of environments.

Proper citation: E. coli Genome project (RRID:SCR_008139) Copy   

•   Source: SciCrunch Registry

http://organelledb.lsi.umich.edu/

Database of organelle proteins, and subcellular structures / complexes from compiled protein localization data from organisms spanning the eukaryotic kingdom. All data may be downloaded as a tab-delimited text file and new localization data (and localization images, etc) for any organism relevant to the data sets currently contained in Organelle DB is welcomed. The data sets in Organelle DB encompass 138 organisms with emphasis on the major model systems: S. cerevisiae, A. thaliana, D. melanogaster, C. elegans, M. musculus, and human proteins as well. In particular, Organelle DB is a central repository of yeast protein localization data, incorporating results from both previous and current (ongoing) large-scale studies of protein localization in Saccharomyces cerevisiae. In addition, we have manually curated several recent subcellular proteomic studies for incorporation in Organelle DB. In total, Organelle DB is a singular resource consolidating our knowledge of the protein composition of eukaryotic organelles and subcellular structures. When available, we have included terms from the Gene Ontologies: the cellular component, molecular function, and biological process fields are discussed more fully in GO. Additionally, when available, we have included fluorescent micrographs (principally of yeast cells) visualizing the described protein localization. Organelle View is a visualization tool for yeast protein localization. It is a visually engaging way for high school and undergraduate students to learn about genetics or for visually-inclined researchers to explore Organelle DB. By revealing the data through a colorful, dimensional model, we believe that different kinds of information will come to light.

Proper citation: Organelle DB (RRID:SCR_007837) Copy   

•   Source: SciCrunch Registry

http://www.dana.org/resources/brainweb/

BrainWeb provides information and links to validated sites about brain diseases and disorders. These include outside resources reviewed by scientific advisers, as well as articles in Dana publications. Sites listed in BrainWeb detail common brain diseases and disorders, and include general neuroscience and health resources. They offer descriptions of conditions, frequently asked questions, organization contacts, and sources for more information. BrainWeb and its links are suitable for lay readers, including students and educators, as well as people with brain disorders, their families, and caregivers.

Proper citation: Dana Foundation: BrainWeb (RRID:SCR_007996) Copy   

•   Source: SciCrunch Registry

http://neuroinformatics.usc.edu/

The USC Brain Project is engaged in the effort to develop new tools and methodologies for neuroinformatics in modeling neural mechanisms of visuomotor coordination and exploring the evolution of the human language-ready brain, as well as conducting work in both neural modeling and database construction in relation to rehabilitation after stroke. Sponsors: USCBP is funded by the University of Southern California.

Proper citation: University of Southern California Brain Project (RRID:SCR_008044) Copy   

•   Source: SciCrunch Registry

http://www.scripps.edu/np/inia/index.html

Consortium set out to identify the molecular, cellular, and behavioral neuroadaptations that occur in the brain reward circuits associated with the extended amygdala and its connections. It is hypothesized that genetic differences and/or neuroadaptations in this circuitry are responsible for the individual differences in vulnerability to the excessive consumption of alcohol. Chronic exposure to alcohol results in neuroadaptive phenomena, including tolerance, sensitization, dependence, withdrawal, loss of control of drinking, and relapse that contribute to the development of excessive alcohol consumption. The INIA has the following goals: 1) To establish animal models to study specific neurobiological targets for vulnerability that lead to excessive consumption of alcohol at the molecular, cellular and neural circuit level of analysis, 2) To identify specific clusters of genes whose expression is regulated by alcohol and which are responsible for any given model of excessive alcohol consumption using gene expression arrays, differential display, mutagenesis directed at specific brain areas, and the development of new informatics tools to analyze and interpret gene expression, cellular circuitry and brain circuitry data with the use of transgenic and knockout approaches, and 3) To attract new and innovative investigators to the field of alcohol research by recruiting individuals for development of U01 grants and pilot projects and by developing online interactive capacity among INIA scientists and others, and by making the neuroinformatics integrated data sets accessible, searchable and interactive with other databases for all scientists interested in alcoholism research. The structure of INIA is envisioned as two domains, Dependence-induced drinking and Binge drinking, comprised of multiple U01 research grants. The flow of information within each domain moves from molecular, to cellular, to neurocircuitry levels of analysis. These U01s share information with the core facilities, which act as data depositories. The Administrative Core coordinates the flow of information among the Domains and Cores and disseminates the information back to the U01s. A Pilot Project program will identify exciting new areas for research and the continual recruitment of new investigators to the alcohol field. The INIA program is directed by an Administrative Core in close cooperation with the Animal Models, Gene Array and Neurocircuitry Cores via a Steering Committee and with the continual advice of the Scientific Advisory Committee.

Proper citation: Integrative Neuroscience Initiative on Alcoholism (RRID:SCR_008042) Copy   

•   Source: SciCrunch Registry