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http://banyanbio.com/

Banyan Biomarkers was founded in 2002 by Ron Hayes, PhD , Kevin Wang, PhD, and Nancy Denslow, PhD to create the first Point of Care (POC) Blood Test to diagnose traumatic brain injury (TBI) and to diagnose neurological diseases. Initially inspired by research conducted at the University of Florida and The Evelyn F. and William McKnight Brain Institute, Banyan Biomarkers has made significant progress in developing and clinically validating novel enzyme linked immunosorbent assays (ELISAs) for traumatic brain injury (TBI). Banyan scientists have created an extensive pipeline of potential biomarkers and the company has a robust intellectual property portfolio. Jackson Streeter, Banyan''s CEO, has extensive experience in development of medical devices for acute brain injury. Currently no blood test exists for use by physicians to detect the presence and severity of brain trauma. Banyan Biomarkers'' research has identified unique and proprietary biomarkers present in the patient''s blood following injury to the brain. The detection and quantification of these biomarkers may provide early indications of brain trauma essential for earlier intervention and management. Banyan Biomarkers, Inc. offers preclinical and clinical sample analyses with a proven panel of neurological, psychiatric, neurodegenerative disease, and organ toxicity biomarker assays. The company provides analytical services to a wide range of customers including pharmaceutical companies, biotechnology companies and investigators at academic research institutes.

Proper citation: Banyan Biomarkers (RRID:SCR_004515) Copy   

•   Source: SciCrunch Registry

http://neurosynth.org

Platform for large-scale, automated synthesis of functional magnetic resonance imaging (fMRI) data extracted from published articles. It''s a website wrapped around a set of open-source Python and JavaScript packages. Neurosynth lets you run crude but useful analyses of fMRI data on a very large scale. You can: * Interactively visualize the results of over 3,000 term-based meta-analyses * Select specific locations in the human brain and view associated terms * Browse through the nearly 10,000 studies in the database Their ultimate goal is to enable dynamic real-time analysis, so that you''ll be able to select foci, tables, or entire studies for analysis and run a full-blown meta-analysis without leaving your browser. You''ll also be able to do things like upload entirely new images and obtain probabilistic estimates of the cognitive states most likely to be associated with the image.

Proper citation: NeuroSynth (RRID:SCR_006798) Copy   

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http://ophid.utoronto.ca/mirDIP/

microRNA data integration portal to find microRNAs that target a gene, or genes targeted by a microRNA, in Homo sapiens. Software to integrate prediction databases to elucidate accurate microRNA:target relationships. Used for human microRNA prediction studies.

Proper citation: mirDIP (RRID:SCR_016770) Copy   

•   Source: SciCrunch Registry

http://hugenavigator.net/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 5, 2023. Knowledge base of genetic associations and human genome epidemiology including information on population prevalence of genetic variants, gene-disease associations, gene-gene and gene- environment interactions, and evaluation of genetic tests. This tool explores HuGENet, the Human Genome Epidemiology Network, which is a global collaboration of individuals and organizations committed to the assessment of the impact of human genome variation on population health and how genetic information can be used to improve health and prevent disease. What does HuGE Navigator offer? *HuGEpedia - an encyclopedia of human genetic variation in health and disease, includes, Phenopedia and Genopedia. Phenopedia allows you to look up gene-disease association summaries by disease, and Genopedia allows you to look up gene-disease association summaries by gene. In general, HuGEpedia is a searchable database that summarizes published articles about human disease and genetic variation, including primary studies, reviews, and meta-analyses. It provides links to Pubmed abstracts, researcher contact info, trends, and more. *HuGEtools - searching and mining the literature in human genome epidemiology, includes, HuGE Literature Finder, HuGE Investigator Browser, Gene Prospector, HuGE Watch, Variant Name Mapper, and HuGE Risk Translator. *HuGE Literature Finder finds published articles in human genome epidemiology since 2001. The search query can include genes, disease, outcome, environmental factors, author, etc. Results can be filtered by these categories. It is also possible to see all articles in the database for a particular topic, such as genotype prevalence, pharmacogenomics, or clinical trial. *HuGE Investigator Browser finds investigators in a particular field of human genome epidemiology. This info is obtained using a behind-the-scenes tool that automatically parses PubMed affiliation data. *Gene Prospector is a gateway for evaluating genes in relation to disease and risk factors. This tool allows you to enter a disease or risk factor and then supplies you with a table of genes associated w/your query that are ranked based on strength of evidence from the literature. This evidence is culled from the HuGE Literature Finder and NCBI Entrez Gene - And you're given the scoring formula. The Gene Prospector results table provides access to the Genopedia entry for each gene in the list, general info including links to other resources, SNP info, and associated literature from HuGE, PubMed, GWAS, and more. It is a great place to locate a lot of info about your disease/gene of interest very quickly. *HuGE Watch tracks the evolution of published literature, HuGE investigators, genes studied, or diseases studied in human genome epidemiology. For example, if you search Trend/Pattern for Diseases Studied you'll initially get a graph and chart of the number of diseases studied per year since 1997. You can refine these results by limiting the temporal trend to a category or study type such as Gene-gene Interaction or HuGE Review. *Variant Name Mapper maps common names and rs numbers of genetic variants using information from SNP500Cancer, SNPedia, pharmGKB, ALFRED, AlzGene, PDGene, SZgene, HuGE Navigator, LSDBs, and user submissions. *HuGE Risk Translator calculates the predictive value of genetic markers for disease risk. To do so, users must enter the frequency of risk variant, the population disease risk, and the odds ratio between the gene and disease. This information is necessary in order to yield a useful predictive result. *HuGEmix - a series of HuGE related informatics utilities and projects, includes, GAPscreener, HuGE Track, Open Source. GAPscreener is a screening tool for published literature on human genetic associations; HuGE Track is a custom track built for HuGE data in the UCSC Genome Browser; and Open Source is infrastructure for managing knowledge and information from PubMed.

Proper citation: HuGE Navigator - Human Genome Epidemiology Navigator (RRID:SCR_003172) Copy   

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http://www.brainvoyager.com/products/braintutor.html

A free award-winning educational program that teaches you knowledge about the human brain through interactive exploration of rotatable 3D models. The models have been computed with BrainVoyager QX using original data from magnetic resonance imaging (MRI) scans. Besides having fun with the rotatable 3D models, the program contains information about the major lobes, gyri, sulci and Brodmann areas of the cerebral cortex. The program runs on Windows XP, Vista and Windows 7.

Proper citation: BrainVoyager Brain Tutor (RRID:SCR_006737) 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://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.seralab.co.uk

A biomaterial supply resource which provides human and animal biological matrices and services. Human biomaterials and tools include hepatocytes, clinical samples, normal samples, subcellular fractions, immunology products, renal cells, cell cultures, and diagnostic tools. Animal biomaterials include hepatocytes, blood, fluid, and tissue samples, subcellular fractions, and cell cultures. Custom cells and clinical samples are available for purchase, as are hepatocyte and renal media.

Proper citation: Sera Laboratories International (RRID:SCR_013845) Copy   

•   Source: SciCrunch Registry

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

Portal provides access to data and web based applications created for benefit of global research community by Allen Institute for Brain Science. Projects to ombine genomics with neuroanatomy by creating gene expression maps for mouse and human brain. Mouse Brain Atlas, Human Brain Atlas, Developing Mouse Brain Atlas, Developing Human Brain Atlas, Mouse Connectivity Atlas, Non-Human Primate Atlas, and Mouse Spinal Cord Atlas and three related projects Glioblastoma, Mouse Diversity, and Sleep data banks, are used to advance various fields of science especially in neurobiological diseases.

Proper citation: Allen Brain Atlas (RRID:SCR_017001) Copy   

•   Source: SciCrunch Registry

https://sparc.science

SPARC data repository as of 2023 is an open data repository developed as part of the NIH SPARC initiative and has been used by SPARC funded investigator groups to curate and publish high quality datasets related to the autonomic nervous system. We are thrilled that as of August 2022, SPARC is accepting datasets from investigators that are not funded through the NIH SPARC program. The NIH's Common Fund Stimulating Peripheral Activity to Relieve Conditions (SPARC) program aims to transform our understanding of these nerve-organ interactions and ultimately advance neuromodulation field toward precise treatment of diseases and conditions for which conventional therapies fall short.

Proper citation: SPARC Portal (RRID:SCR_017041) Copy   

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http://rgd.mcw.edu

Database for genetic, genomic, phenotype, and disease data generated from rat research. Centralized database that collects, manages, and distributes data generated from rat genetic and genomic research and makes these data available to scientific community. Curation of mapped positions for quantitative trait loci, known mutations and other phenotypic data is provided. Facilitates investigators research efforts by providing tools to search, mine, and analyze this data. Strain reports include description of strain origin, disease, phenotype, genetics, immunology, behavior with links to related genes, QTLs, sub-strains, and strain sources.

Proper citation: Rat Genome Database (RGD) (RRID:SCR_006444) Copy   

•   Source: SciCrunch Registry

http://users.loni.ucla.edu/~shattuck/brainsuite/

Suite of image analysis tools designed to process magnetic resonance images (MRI) of the human head. BrainSuite provides an automatic sequence to extract genus-zero cortical surface mesh models from the MRI. It also provides a set of viewing tools for exploring image and surface data. The latest release includes graphical user interface and command line versions of the tools. BrainSuite was specifically designed to guide its users through the process of cortical surface extraction. NITRC has written the software to require minimal user interaction and with the goal of completing the entire process of extracting a topologically spherical cortical surface from a raw MR volume within several minutes on a modern workstation. The individual components of BrainSuite may also be used for soft tissue, skull and scalp segmentation and for surface analysis and visualization. BrainSuite was written in Microsoft Visual C using the Microsoft Foundation Classes for its graphical user interface and the OpenGL library for rendering. BrainSuite runs under the Windows 2000 and Windows XP Professional operating systems. BrainSuite features include: * Sophisticated visualization tools, such as MRI visualization in 3 orthogonal views (either separately or in 3D view), and overlayed surface visualization of cortex, skull, and scalp * Cortical surface extraction, using a multi-stage user friendly approach. * Tools including brain surface extraction, bias field correction, voxel classification, cerebellum removal, and surface generation * Topological correction of cortical surfaces, which uses a graph-based approach to remove topological defects (handles and holes) and ensure a tessellation with spherical topology * Parameterization of generated cortical surfaces, minimizing a harmonic energy functional in the p-norm * Skull and scalp surface extraction

Proper citation: BrainSuite (RRID:SCR_006623) Copy   

•   Source: SciCrunch Registry

http://www.mitre.org/news/digest/archives/2002/neuroinformatics.html

This resource''s long-term goal is to develop informatics methodologies and tools that will increase the creativity and productivity of neuroscience investigators, as they work together to use shared human brain mapping data to generate and test ideas far beyond those pursued by the data''s originators. This resource currently has four major projects supporting this goal: * Database tools: The goal of the NeuroServ project is to provide neuroscience researchers with automated information management tools that reduce the effort required to manage, analyze, query, view, and share their imaging data. It currently manages both structural magnetic resonance image (MRI) datasets and diffusion tensor image (DTI) datasets. NeuroServ is fully web-enabled: data entry, query, processing, reporting, and administrative functions are performed by qualified users through a web browser. It can be used as a local laboratory repository, to share data on the web, or to support a large distributed consortium. NeuroServ is based on an industrial-quality query middleware engine MRALD. NeuroServ includes a specialized neuroimaging schema and over 40 custom Java Server Pages supporting data entry, query, and reporting to help manage and explore stored images. NeuroServ is written in Java for platform independence; it also utilizes several open source components * Data sharing: DataQuest is a collaborative forum to facilitate the sharing of neuroimaging data within the neuroscience community. By publishing summaries of existing datasets, DataQuest enables researchers to: # Discover what data is available for collaborative research # Advertise your data to other researchers for potential collaborations # Discover which researchers may have the data you need # Discover which researchers are interested in your data. * Image quality: The approach to assessing the inherent quality of an image is to measure how distorted the image is. Using what are referred to as no-reference or blind metrics, one can measure the degree to which an image is distorted. * Content-based image retrieval: NIRV (NeuroImagery Retrieval & Visualization) is a work environment for advanced querying over imagery. NIRV will have a Java-based front-end for users to issue queries, run processing algorithms, review results, visualize imagery and assess image quality. NIRV interacts with an image repository such as NeuroServ. Users can also register images and will soon be able to filter searches based on image quality.

Proper citation: MITRE Neuroinformatics (RRID:SCR_006508) Copy   

•   Source: SciCrunch Registry

http://www.brainvoyager.com

Brain Innovation B.V. is developing scientific software in the field of human and animal brain imaging, neural network simulation and computer-based experimental control. Our current major product, BrainVoyager QX, is a commercially available cross-platform neuroimaging tool, which is used in hundreds of labs across the planet. Turbo-BrainVoyager is an easy to use program for real-time data analysis, which allows to observe a subject''s or patient''s brain activity during an ongoing functional MRI scanning session. TMS Neuronavigator provides the hard- and software to navigate a TMS coil to desired anatomical or functionally defined brain regions. We also provide free software products. BrainVoyager Brain Tutor allows to learn about brain areas by clicking on rotatable 3D brain models. StimulDX is a powerful stimulation software based on Microsofts DirectX API, which we will make available for free download in the near future.

Proper citation: Brain Innovation: Home of the BrainVoyager Product Family (RRID:SCR_006660) Copy   

•   Source: SciCrunch Registry

http://obssr.od.nih.gov/index.aspx

An NIH office devoted to the study of the role of behavioral and social factors in illness and health. Its mission is to stimulate behavioral and social sciences research throughout NIH and to integrate these areas of research more fully into others of the NIH health research enterprise, thereby improving our understanding, treatment, and prevention of disease. To provide the OBSSR with counsel in fulfilling its mission, the Behavioral and Social Sciences Research Coordinating Committee (BSSR CC) serves as an internal advisory board. The Office of Behavioral and Social Sciences Research (OBSSR) opened officially on July 1, 1995. The major responsibilities of the office and its director, set forth in its formal mission statement, are: * To provide leadership and direction in the development, refinement, and implementation of a trans-NIH plan to increase the scope of and support for behavioral and social sciences research. * To inform and advise the NIH director and other key officials of trends and developments having significant bearing on the missions of the NIH, DHHS, and other federal agencies. * To serve as the principal NIH spokesperson regarding research on the importance of behavioral, social, and lifestyle factors in the causation, treatment, and prevention of diseases; and to advise and consult on these topics with NIH scientists and others within and outside the federal government. * To develop a standard definition of behavioral and social sciences research, assess the current levels of NIH support for this research, and develop an overall strategy for the uniform expansion and integration * of these disciplines across NIH institutes and centers. * To develop initiatives designed to stimulate research in the behavioral and social sciences arena, integrate a bio-behavioral perspective across the research areas of the NIH, and encourage the study of behavioral and social sciences across NIH''s institutes and centers. * To initiate and promote studies to evaluate the contributions of behavioral, social, and lifestyle determinants in the development, course, treatment, and prevention of illness and related public health problems. * To provide leadership in ensuring that findings from behavioral and social sciences research are disseminated to the public. * To sponsor seminars, symposia, workshops, and conferences at the NIH and at national and international scientific meetings on state-of-the-art behavioral and social sciences research. Funding Opportunities Announcements (FOA) Since opening its doors in 1995, The Office of Behavioral and Social Sciences Research (OBSSR) has worked to achieve the goals of its authorizing legislation by effectively highlighting and supporting the scientific opportunities that exist in basic and applied behavioral and social sciences research. Guided by its Strategic Plan, OBSSR has been working actively with its IC partners to develop funding opportunities in the behavioral and social sciences. Although OBSSR does not have grant-making authority, it has been active in organizing and funding (through transfers to NIH Institutes and Centers) a variety of trans-NIH research programs. Scientific Areas The Office of Behavioral and Social Sciences Researchs (OBSSR) leadership is crucial at a time when exciting scientific opportunities, persistent public health needs, and emergent public health challenges face our nation. The vision of the office is to bring together the biomedical, behavioral, and social science communities to work more collaboratively to solve complex pressing health challenges. Notable areas of research where OBSSR has led efforts and encourages research include: * Biopsychosocial Interactions * Methodology (including Systems Science and CBPR) * Genes, Behavior and Environment * Social and Cultural Factors in Health * Health and Behavior * Translation OBSSR Training & Education Opportunities The Office of Behavioral and Social Sciences Research (OBSSR) develops and coordinates training and career development opportunities with the NIH Institutes and Centers.

Proper citation: Office of Behavioral and Social Sciences Research (RRID:SCR_006554) Copy   

•   Source: SciCrunch Registry

http://pga.mgh.harvard.edu/primerbank/

Database of human and mouse primer pairs for gene expression analysis by polymerase chain reaction (PCR) and quantitative PCR (qPCR). A total of 306,800 primers covering most known human and mouse genes can be accessed from the PrimerBank database, together with information on these primers such as T(m), location on the transcript and amplicon size. For each gene, at least one primer pair has been designed and in many cases alternative primer pairs exist. Primers have been designed to work under the same PCR conditions, thus facilitating high-throughput QPCR. All primers in PrimerBank were carefully designed to ensure gene specificity. All experimental validation data for mouse primers are available from PrimerBank. You can submit your primers. They will be added to the database once they are properly QCd.

Proper citation: PrimerBank (RRID:SCR_006898) Copy   

•   Source: SciCrunch Registry

http://genome.ucsc.edu/ENCODE

Encyclopedia of DNA elements consisting of list of functional elements in human genome, including elements that act at protein and RNA levels, and regulatory elements that control cells and circumstances in which gene is active. Enables scientific and medical communities to interpret role of human genome in biology and disease. Provides identification of common cell types to facilitate integrative analysis and new experimental technologies based on high-throughput sequencing. Genome Browser containing ENCODE and Epigenomics Roadmap data. Data are available for entire human genome.

Proper citation: ENCODE (RRID:SCR_006793) Copy   

•   Source: SciCrunch Registry

http://www.linkrbrain.eu

An online tool for managing and viewing datasets. Data can be viewed in 2D or 3D with activation points as points clouds or projections on the cortex surface. Data can be imported as a NIfTI file or a list of activation peaks and results can be exported as a PDF file.

Proper citation: linkRbrain (RRID:SCR_014562) 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   

•   Source: SciCrunch Registry

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