We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
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.
An integrated and flexible software package for processing of DTI data, and in general for the correction of diffusion weighted images to be used for DTI and potentially for high angular resolution diffusion imaging (HARDI) analysis. It can be run on both Linux and Mac platforms. It is composed of two modules named DIFF PREP and DIFF CALC. * DIFF_PREP - software for image resampling, motion, eddy current distortion and susceptibility induced EPI distortion corrections, and for re-orientation of data to a common space * DIFF_CALC - software for tensor fitting, error analysis, color map visualization and ROI analysis In addition, TORTOISE contains additional Utilities, such as a tool for the analysis of multi-center phantom data.
A Python-based open source toolkit for magnetic resonance connectome mapping, data management, sharing, visualization and analysis. The toolkit includes the connectome mapper (a full DMRI processing pipeline), a new file format for multi modal data and metadata, and a visualization application.
A graphical toolbox developed in Matlab for exploratory diffusion (tensor) MRI and fiber tractography. It includes diffusion reconstruction approaches, analysis and visualization tools for fiber tractography, atlas based segmentation, and connectivity networks. It also provides a wide range of quality assessment and pre-processing tools. Main features: * Visualization of scalar and vector maps of various diffusion tensor properties * Display of principal diffusion vectors, cuboids, and ellipsoids with several color-encodings * Deterministic (streamline) and 'probabilistic' (wild-bootstrap) fiber tractography * Clustering of fiber tracts * Data quality assessment tools * HARDI reconstructions (Q-ball and spherical deconvolution imaging) * Tract-specific measurements * Tract-segment analysis * Motion / distortion correction (with B-matrix rotation!) * Other cool stuff... (see publication link)
A spatial normalization and atlas construction toolkit optimized for examining white matter morphometry using DTI data with special care taken to respect the tensorial nature of the data. It implements a state-of-the-art registration algorithm that drives the alignment of white matter (WM) tracts by matching the orientation of the underlying fiber bundle at each voxel. The algorithm has been shown to both improve WM tract alignment and to enhance the power of statistical inference in clinical settings. A 2011 study published in NeuroImage ranks DTI-TK the top-performing tool in its class. Key features include: * open standard-based file IO support: NIfTI format for scalar, vector and tensor image volumes * tool chains for manipulating tensor image volumes: resampling, smoothing, warping, registration & visualization * pipelines for WM morphometry: spatial normalization & atlas construction for population-based studies * built-in cluster-computing support: support for open source Sun Grid Engine (SGE) * Interoperability with other popular DTI tools: AFNI, Camino, FSL & DTIStudio * Interoperability with ITK-SNAP: support multi-modal visualization and segmentation
Implemented under MATLAB, this DTI image processing toolbox provides import-filters for several MR file standards, a processing unit to calculate the diffusion tensors; several GUI based tools to calculate fiber tracks and to evaluate the DTI dataset. The results can be filed as images with 3D impression or can be logged in formatted ASCII files. Tools and features: * DTI Processing Unit: Calculates the diffusion tensors and their eigenvalues and eigenvectors. Different file formats are supported (like DICOM, Bruker, binary files, Matlab structures). The standard SIEMENS and GE diffusion encoding schemes are supported; other schemes have to be defined in a separate text, .m or .mat file. * FiberTracking: ** Fiber tracking is realized by using the FACT algorithm (Mori et al., Annal. Neurol 1999). ** Probabilistic tracking realized by using the PiCo (Parker et al., JMRI 2003) approach but with DTI data as basis. It is possible to extract pathways between two seeds by combining two maps (Kreher et al., NeuroImage 2008). ** Global Fiber Tracking on basis of HARDI or DTI data. The method is based on the approach reported in (Marco Reisert et al: Global fiber reconstruction becomes practical. NeuroImage 54(2):955-62) * FiberViewer: ** Visualization and Navigation through different data modalities like DTI maps, fiber tracks, diffusion main directions. ** Supports different kinds of DTI maps (e.g. FA, Trace, lambda images ) ** Creation and manipulation of mask based ROIs. ** Selection of streamline fibers ** Visualization of probabilistic fiber tracking results ** Documentation by logging statistics of ROIs and fiber tracks into text files. ** Import/Export from/to ANALYZE or Nifti * 3D Visualizer: Visualization of map slices, ROIs, and fiber tracks with 3D impression. * Batch Editor: Automatic processing of high amounts of data. Possibility to link processing with SPM8 easily.
Recognizing the importance of research in Neuroscience and its great promise, as well as the importance of educating the neuroscientists of the future, the University of California, Davis, in 1990, established The Center for Neuroscience. The Center has now become the focus of interdisciplinary studies in Cellular, Molecular, Systems, Cognitive and Translational Neuroscience, with a Faculty made up of world leaders in brain research. The Center occupies facilities especially designed to promote and foster interactions among the resident faculty, associated faculty, postdoctoral fellows, and graduate students, with state-of-the-art lab space and associated facilities such as cellular and molecular imaging, functional imaging of the human brain and extensive databasing facilities. The Center provides an attractive setting for seminar series that feature distinguished National and International guest speakers as well as speakers from the UC Davis community of scientists. The Center is home to a number of visiting scholars each year and enjoys a lively intellectual atmosphere.
Crowdsourcing site for annotating neuroimaging literature. Brainspell also allows for search across the literature.
Free, open-source, object-oriented software package for analysis and reconstruction of Diffusion MRI data, tractography and connectivity mapping. The toolkit implements standard techniques, such as diffusion tensor fitting, mapping fractional anisotropy and mean diffusivity, deterministic and probabilistic tractography. It also contains more specialized and cutting-edge techniques, such as Monte-Carlo diffusion simulation, multi-fibre and HARDI reconstruction techniques, multi-fibre PICo, compartment models, and axon density and diameter estimation. Camino has a modular design to enable construction of processing pipelines that include modules from other software packages. The toolkit is primarily designed for unix platforms and structured to enable simple scripting of processing pipelines for batch processing. Most users use linux, MacOS or a unix emulator like cygwin running under windows. However, the core code is written in Java and thus is simple to call from other platforms and programming environments, such as matlab running under unix or windows.
Project to define a roadmap for diffusion MR imaging of traumatic brain imaging and design an infrastructure to implement the recommendations and tested to ensure feasibility, disseminate results, and facilitate deployment and adoption. The research roadmap and infrastructure development will concentrate on three areas: 1) standardization of diffusion imaging methodology, 2) trial design and patient selection for acute or chronic therapy, and 3) development of multi-center collaborations and repositories for evaluating whether advanced diffusion imaging does improve decision making and TBI patients' outcomes. # DTI MRI reproducability: One of the major areas of investigation in this project is to study the reproducibility of data acquisition and image analysis algorithms. Understanding reproducibility defines a base level of deviation from which scans can be analyzed with statistical significance. As part of this work they are also developing site qualification criteria with the intention of setting limits on the MR system minimal performance for acceptable use in TBI evaluation. # Infrastructure for image storage, analysis and visualization: There is a continuing need to refine and extend software methods for diffusion MRI data analysis and visualization. Not only to translate tools into clinical practice, but also to encourage continuation of the innovation and development of new tools and techniques. To deliver upon these goals they are designing and implementing a storage and computational infrastructure to provide access to shared datasets and intuitive interfaces for analysis and visualization through a variety of tools. A strong emphasis has been placed on providing secure data sharing and the ability to add community defined common data elements. The infrastructure is built upon a Software-as-a-Service model, in which tools are hosted and managed remotely allowing users access through well-defined interfaces. The final service will also facilitate composition or orchestration of workflows composed of different analysis and processing tasks (for example using LONI or XNAT pipelines) with the ultimate goal of providing automated no-click evaluations of diffusion MRI data. # Tool development: The final aspect of this project aims to facilitate and encourage tool development and contribution. By providing access to open datasets, they will create a platform on which tool developers can compare and improve and their tools. When tools are sufficiently mature they can be exposed in the infrastructure mentioned above and used by researchers and other developers.