We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
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.
THIS RESOURCE IS NO LONGER IN SERVICE.<br/><br/>Free access service resource dedicated to connect researchers creating scientific samples with scientists who need samples for their experiments. With Sample of Science researchers can submit samples, or contact scientists proposing sample for dissemination. Each disseminated sample also gets its description published in Sample of Science Bulletin, a dedicated open access journal. It acquires a Digital Object Identifier (DOI) and becomes a fully citable item. Because both adequate sample descriptions and mutually-agreed dissemination conditions are key factors for a fruitful dissemination that respects mutual interest, Sample of Science provides tools to elaborate, communicate, discuss, and refine both sample description and dissemination conditions. This process, termed peer-adoption process, results in the publication of disseminated sample descriptions in Sample of Science Bulletin, a dedicated open access publication. The publication in Sample of Science Bulletin is useful to provide adequate recognition to Sample Authors who contribute to the development of science by offering visibility to their disseminated samples. To the adopter it provides experimental details regarding the sample under the form of a citable reference useful for any future publications involving this sample. To a larger scientific community interested in material science, it provides a useful tool to stay abreast the activity of sample providers in their respective field of expertise.
Annual Reviews offers comprehensive, timely collections of critical reviews written by leading scientists. It publishes authoritative, analytic reviews in 37 focused disciplines within the Biomedical, Life, Physical, and Social Sciences. The mission of Annual Reviews is to provide systematic, periodic examinations of scholarly advances in a number of fields of science through critical authoritative reviews. The comprehensive critical review not only summarizes a topic but also roots out errors of fact or concept and provokes discussion that will lead to new research activity. The critical review is an essential part of the scientific method. Sponsors: Annual Reviews is a non-profit organization created and managed by scientists to serve science by publishing reviews in 40 different scientific fields.
Blog by Avery Gilbert, a sensory psychologist, taking a scientific sniff at the culture of smell. His specialty is olfaction --the strange and wonderful world of smell. He's worked in academia and the corporate world, published research in scientific journals, and written a book on the science of smell.
Web application to search protein databases using a translated nucleotide query. Translated BLAST services are useful when trying to find homologous proteins to a nucleotide coding region. Blastx compares translational products of the nucleotide query sequence to a protein database. Because blastx translates the query sequence in all six reading frames and provides combined significance statistics for hits to different frames, it is particularly useful when the reading frame of the query sequence is unknown or it contains errors that may lead to frame shifts or other coding errors. Thus blastx is often the first analysis performed with a newly determined nucleotide sequence and is used extensively in analyzing EST sequences. This search is more sensitive than nucleotide blast since the comparison is performed at the protein level.
THIS RESOURCE IS NO LONGER IN SERVICE, documented on March 28, 2017. Foundation that helps junior physicians and neuroscientists continue their research on Parkinson's Disease and related disorders, with financial support for professional and intellectual development. It promotes an international community of researchers, focusing on the young enthusiastic investigators and clinicians who might otherwise be forced to abandon their ideas and efforts.
Blog put out by the Neuroscience Information Framework covering a variety of neuroscience related topics including topics encountered by the Neuroscience Information Framework as a project.
Comprehensive international bibliographic biomedical database that enables users to track and retrieve precise information on drugs and diseases from pre-clinical studies to searches on critical toxicological information. It contains bibliographic records with citations, abstracts and indexing derived from biomedical articles in peer reviewed journals, and is especially strong in its coverage of drug and pharmaceutical research. Embase can help with everything from clinical trials research to pharmacovigilance and is updated online daily and weekly. Its broad biomedical scope covers the following areas: * Drug therapy and research, including pharmaceutics, pharmacology and toxicology * Clinical and experimental (human) medicine * Basic biological science relevant to human medicine * Biotechnology and biomedical engineering, including medical devices * Health policy and management, including pharmacoeconomics * Public, occupational and environmental health, including pollution control * Veterinary science, dentistry, and nursing The Embase Application Programming Interface supports export, RSS feeds, and integration services, making it possible to share data with a wide range of systems.
Training materials including Web edition modules of the neuroanatomy coursebooks used by first-year medical students at the University of Wisconsin Medical School (UWMS), videos, and images. Topics include spinal cord, brain stem, Cerebellum, Thalamus, Cranial Nerves and National Board Review practice questions.
THIS RESOURCE IS NO LONGER IN SERVICE. Datasets described in the manuscript: "Global Epigenomic Reconfiguration During Mammalian Brain Development" (Science, 2013 - DOI: 10.1126/science.1237905. This study provides genome-wide composition, patterning, cell specificity, and dynamics of DNA methylation at single-base resolution in human and mouse frontal cortex throughout their lifespan. Widespread methylome reconfiguration occurs during fetal to young adult development, coincident with synaptogenesis.
Software that estimates expression at transcript-level resolution and controls for variability evident across replicate libraries.
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Friend is a bioinformatics application designed for simultaneous analysis and visualization of multiple structures and sequences of proteins and/or DNA/RNA. The application provides basic functionalities such as: structure visualization with different rendering and coloring, sequence alignment, and simple phylogeny analysis, along with a number of extended features to perform more complex analyses of sequence structure relationships, including: structural alignment of proteins, investigation of specific interaction motifs, studies of protein-protein and protein-DNA interactions, and protein super-families. Friend is also useful for the functional annotation of proteins, protein modeling, and protein folding studies. Friend provides three levels of usage; 1) an extensive GUI for a scientist with no programming experience, 2) a command line interface for scripting for a scientist with some programming experience, and 3) the ability to extend Friend with user written libraries for an experienced programmer. The application is linked and communicates with local and remote sequence and structure databases.