We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
VHL is a library, a decentralized and dynamic information-source collection, designed to provide equitable access to scientific knowledge on health. This collection operates as an Internet network of products and services, structured to progressively meet the need for information on health on the part of authorities, administrators, researchers, professors, students, professionals, the media and the general public. It sets itself apart from other information sources available on the Internet due to its selection criteria and quality control. The Virtual Health Library is envisioned as the broad of scientific and technical knowledge based in health-entered, organized, and stored in electronic format in the countries of the Region, universally accessible on the Internet and compatible with international databases. The VHL is a common space shared by information users, producers and intermediaries. It is based on the information paradigm set by the Internet, where users may interact with networks of information sources and with other users. The most important consequence of this paradigm is the convergence of functions and activities of production, intermediation and use of information sources. It will also be possible to enrich, schedule, reformulate, and/or translate the basic information sources into new information products and services, with value added, in order to meet more efficiently the information needs of users from specific communities. BIREME has established a plan of action to implement the Virtual Health Library based on 5 lines of action: promotion and marketing; realignment of traditional products and services; production of electronic publications; development of tools for integrating and locating information; and development of other Virtual Health Library components. Sponsors: VHL is supported by the Latin-American and Caribbean Center on Health Sciences Information.
Biological resources, including gene-targeting vectors, ES cell lines, antibodies, and transgenic mice, generated for its phenotyping pipeline as part of the Genes to Cognition research program are freely-available to interested researchers. Available Transgenic Mouse Lines: *Hras1 (H-ras) knockout,C57BL/6J *Dlg4 (PSD-95) knockout,129S5 *Dlg4 (PSD-95) knockout,C57BL/6J *Dlg3 (SAP102) knockout with hprt mutation,129S5 *Dlg3 (SAP102) knockout (wild-type for hprt,C57BL/6J *Syngap1 (SynGAP) knockout (from 8.24 clone), C57BL/6J *Dlg4 (PSD-95) guanylate kinase domain deletion, C57BL/6J *Ptk2 (FAK) knockout,C57BL/6J
An international working group dedicated to improving access to neuroimaging results in a free and open-access manner. It seeks to establish a universal coordinate database, including both past papers and future studies. Their current project involves the creation of a comprehensive database of neuroimaging results searchable based on standardized coordinates. Once complete, this will allow anyone to find all of the articles that report a coordinate, or set of coordinates, easily and without cost. Eventually, they hope to expand this database to include not only coordinates, but statistical parametric maps as well. Formation of such a database will increase the likelihood of relevant papers being found and cited, and also be a very useful tool for those interested in meta-analysis, and hopefully clarify structure-function relationships. They are interested in hearing from people who might be willing to contribute to their projects, particularly those with programming experience. The number of published neuroimaging studies is increasing rapidly and it is not feasible to read them all. If a computer database could store key information from published fMRI papers and make that information easier to search or share, this would have substantial benefits for the neuroimaging community. Projects like AMAT, Brainmap, Brede and SumsDB have started to tackle this problem. NIDAG wants to formalize and improve these databases so that they meet the needs of the neuroimaging community. Formal meta-analysis of published data is a valuable way to assess the consistency and reliability of experimental results. A database of neuroimaging results would facilitate meta-analyses, in conjunction with tools like GingerALE and Multi-level Kernel Density Analysis.
Commercial antibody supplier based in Maryland.
Global nonprofit biological resource center (BRC) and research organization that provides biological products, technical services and educational programs to private industry, government and academic organizations. Its mission is to acquire, authenticate, preserve, develop and distribute biological materials, information, technology, intellectual property and standards for the advancement and application of scientific knowledge. The primary purpose of ATCC is to use its resources and experience as a BRC to become the world leader in standard biological reference materials management, intellectual property resource management and translational research as applied to biomaterial development, standardization and certification. ATCC characterizes cell lines, bacteria, viruses, fungi and protozoa, as well as develops and evaluates assays and techniques for validating research resources and preserving and distributing biological materials to the public and private sector research communities.
The Ataxia Telangiectasia Children's Project, better known as the A-T Children's Project, was founded in late 1993 by a family in Florida with two young sons who have A-T. It is a public, tax-exempt, non-profit organization pursuant to Section 501(c)(3) of the Internal Revenue Code, and all gifts and donations to the Project are tax deductible. The A-T Children's Project was formed to raise funds through events and contributions from corporations, foundations and friends. These funds are then used to accelerate first-rate, international scientific research aimed at finding a cure and improving the lives of all children with ataxia-telangiectasia. - To encourage and support excellent laboratory research which will accelerate the discovery of a cure or possible therapies for ataxia-telangiectasia by: - awarding competitive research grants to top scientists using a peer-review board comprised of top scientists and physicians, - organizing and sponsoring workshops and symposiums in order to encourage cooperation among laboratories and to generate new research strategies, and - working with Congress and the National Institutes of Health to encourage the funding of active research on A-T by agencies of the U.S. government. - To improve the accurate and timely diagnosis of A-T patients by increasing public awareness and by educating physicians. - To develop and maintain an international patient registry of A-T patients with objective, neutral oversight, while leaving ultimate control in the hands of treating physicians, so that up-to-date clinical information about A-T patients can be obtained for researchers and so that when a treatment is developed, all patients can be reached through their physicians. - To support and oversee a clinical center and information clearinghouse at a top-rated, world-class medical center for the evaluation of A-T patients by a multidisciplinary team of specialists, and for the accumulation of experience in managing the many facets of A-T such as the ataxia, cancer and immune problems. - To develop quantitative endpoints for objectively measuring the progression rate and severity of the symptoms of A-T. - To maintain and enlarge a tissue/cell bank with objective, neutral oversight and control in order to ensure free access of existing and new researchers to A-T patient specimens. Sponsors: The A-T Children's Project is a non-profit organization that raises funds to support and coordinate first-rate biomedical research projects, scientific conferences and a clinical center aimed at finding a cure or life-improving therapies for ataxia-telangiectasia, a lethal genetic disease that attacks children, causing progressive loss of muscle control, immune system problems, and a strikingly high rate of cancer, especially leukemia and lymphoma.
Not-for-profit association representing all 141 accredited U.S. and 17 accredited Canadian medical schools; nearly 400 major teaching hospitals and health systems, including 51 Department of Veterans Affairs medical centers; and 90 academic and scientific societies. Through these institutions and organizations, the AAMC represents 128,000 faculty members, 75,000 medical students, and 110,000 resident physicians. Through its programs and services, it strengthens the world's most advanced medical care by supporting the entire spectrum of education, research, and patient care activities conducted by member institutions. The AAMC and its members are dedicated to the communities they serve and steadfast in their desire to earn and keep the public's trust for the role they play in improving the nation's health. The vision of the AAMC and its members is a healthy nation and world in which: - America's system of medical education, through continual renewal and innovation, prepares physicians and scientists to meet the nation's evolving health needs. - The nation's medical students, biomedical graduate students, residents, fellows, faculty, and the health care workforce are diverse and culturally competent. - Advances in medical knowledge, therapies, and technologies prevent disease, alleviate suffering, and improve quality of life. - The nation's health system meets the needs of all. - Concern for compassion, quality, safety, efficacy, accountability, affordability, professionalism, and the public good guide the health care community.
Software functions for analysis of real-time quantitative PCR data at SIRS-Lab GmbH.
Archives of Neurology publishes occasional theme issues on topics such as cerebrovascular diseases, epilepsy, neuromuscular diseases, neoplasms, multiple sclerosis, movement disorders, Alzheimer disease, neurotherapeutics, genetics, sleep disorders, headache syndromes, emergency neurology, neuro-ophthalmology, neuro-otology, neurogenerative diseases, ethical issues, and neurobiotechnology. It is an international peer-reviewed journal published 12 times a year; the online version is published on the second Monday of the month. A Middle Eastern edition of Archives of Neurology is published bimonthly. The mission of the Archives of Neurology is to publish scientific information primarily important for those physicians caring for people with neurologic disorders but also for those interested in the structure and function of the normal and diseased nervous system. These specific aims are (1) to make timely publication of original research of the nervous system, (2) to record observations of single patients or groups of patients that will provide new information and insights, (3) to report more basic research that is pertinent to the understanding of disease, (4) to introduce topics of practice, ethics, teaching, and history that are useful, (5) to provide a forum for discussion on topics that may be controversial in this field.
Source code that allows you to calculate the different measures used in Kreuz T, Chicharro D, Greschner M, Andrzejak RG (2011): Time-resolved and time-scale adaptive measures of spike train synchrony, http://www.sciencedirect.com/science/article/pii/S0165027010006564. Journal of Neuroscience Methods,195, 92-106 & Kreuz T, Chicharro D, Andrzejak RG, Haas JS, and Abarbanel HDI (2009) Measuring multiple spike train synchrony. Journal of Neuroscience Methods 183:287-299 http://www.sciencedirect.com/science/article/pii/S0165027009003616
This page provides quick access to the Comparative mapping functions available in the Map Viewer. Currently, comparative maps are calculated using HomoloGene orthology predictions. Once the gene pairs have been established, blocks of conserved syteny can be established using the positions of each gene object in their respective builds. Sponsors: This resource is supported by NCBI.
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23, 2022. Source code that allows you to calculate the different measures used in Andrzejak RG (2011): Nonlinear time series analysis in a nutshell, http://www.dtic.upf.edu/~ralph/Kansas3.pdf. In: Osorio I, Zaveri H, Frei M, Arthurs S (eds.) Epilepsy: The Intersection of Neurosciences, Biology, Mathematics, and Engineering. CRC Press, Taylor & Francis Group, 125-138. http://www.taylorandfrancis.com/books/details/9781439838853/ The files allow you to calculate the nonlinear prediction error from some time series, you can generate a time series of an autoregressive process of order one and integrate the differential equation of the Lorenz dynamics.
Source code that allows you to calculate the different measures used in Andrzejak et al 2006, http://iopscience.iop.org/1367-2630/8/1/006
Source code that allows you to calculate the different measures used in Andrzejak and Kreuz 2011, http://iopscience.iop.org/0295-5075/96/5/50012
Source code that allows you to calculate the different measures used in Chicharro D, Andrzejak RG (2009): Reliable detection of directional couplings using rank statistics. Physical Review E, 80, 026217.
Public neuroscience database providing a collection of published data describing structure and structure-function relationships in one of the largest projection systems of the brain: the cerebro-cerebellar system. It also gives access to a suite of tools that allow the user to visualize and analyze any selected combination of data sets. Contact them if you are interested in contributing data. The overall goal is to improve communication of results and permit re-use of previously published data in new contexts. FACCS is a part of the Rat Brain WorkBench, a new research and development project funded by The Research Council of Norway, the Centre for Molecular Biology and Neuroscience, and the European Union. The project is directed by Jan G. Bjaalie, Centre for Molecular Biology and Neuroscience & Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
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.
Public university in the capital of Thailand. Originally created to promote agricultural sciences, it now offers degrees in a range of fields including engineering, social sciences, business administration, and education.
A web-based interactive computational environment where you can combine code execution, text, mathematics, plots and rich media into a single document. It offers a comprehensive library on top of which more sophisticated systems can be built. The project provides an enhanced interactive environment that includes support for data visualization and facilities for distributed and parallel computation.
Book with a downloadable version of the second edition of a practical introduction to the interdisciplinary field of computational neuroscience through the use of the GENESIS simulator. It is designed to be a step-by-step tutorial for professionals, researchers and students working in fields ranging from neuroscience to bioengineering, medicine, artificial neural networks and the cognitive sciences. Part I of the book teaches concepts in neuroscience and neural modeling by means of interactive computer tutorials on subjects ranging from neuronal membrane properties to cortical networks. These chapters, written by several contributors, allow the student to perform realistic simulations and experiments on model neural systems and provide the necessary background for understanding and using the tutorials. The simulations are user-friendly with on-line help and may be used without any prior knowledge of the GENESIS simulator or computer programming. Part II is intended to teach the use of the GENESIS script language for the construction of one's own simulations. This part will be useful for self-study by researchers who wish to do neural modeling, as well as students. It follows approximately the same sequence of topics as Part II, and uses parts of the tutorial simulations as examples of GENESIS programming. Several of these are based on recent research simulations which have been published in the neuroscience literature, but which have not been previously available for use outside the laboratories of the original researchers. Thus, the reader may modify these simulations and use them as a starting point for the development of original simulations. In addition to many revisions and additions to existing chapters, this second edition includes two new chapters on the modeling of biochemical signaling pathways and on the use of GENESIS on parallel computers and networks of workstations. Other new additions include a section describing ways to implement synaptic modification (learning), a section describing uses of a new method for modeling of a wide variety of voltage and ionic concentration dependent channels, a description of improvements in the procedure for implementing fast implicit numerical methods in GENESIS simulations, and descriptions of many new GENESIS commands and simulation components.