Curator Dashboard

ANSI-accredited standards developing organization providing a comprehensive framework and related standards for the exchange, integration, sharing, and retrieval of electronic health information that supports clinical practice and the management, delivery and evaluation of health services. HL7's 2,300+ members include approximately 500 corporate members who represent more than 90% of the information systems vendors serving healthcare. HL7 provides standards for interoperability that improve care delivery, optimize workflow, reduce ambiguity and enhance knowledge transfer among all of their stakeholders, including healthcare providers, government agencies, the vendor community, fellow SDOs and patients.

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• SciCrunch
• 13 years ago - by Anonymous

Neuromorphometrics provides brain labeling and measurement services. Given raw MRI brain scans, we make precise quantitative measurements of the volume, shape, and location of specific neuroanatomical structures. Web tool for brain measurement services. Used for modeling living human brain and make quantitative measurements of volume, shape, and location of specific neuroanatomical structures using given MRI brain scans. Automated analyses are manually guided, inspected and certified by a neuroanatomical expert. Resource of neuroanatomically labeled MRI brain scans database. Resource for neuroanatomical localization and identification: NeuAtlas.

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• SciCrunch
• 15 years ago - by Anonymous

Elixir Interoperability Platform to help people and machines to discover, access, integrate and analyse biological data. Encourages life science community to adopt standardized file formats, metadata, vocabularies and identifiers and works internationally to achieve its goals. Bioinformatics resource registry that provides scientific and technical information about analytical tools and data services for bioinformatics. Gateway to databases and tools for life science data analysis.Provides comprehensive and up-to-date catalogue of resources that are interactive and downloadable, and that offer programmatic access. The registry also allows the community to upload their own resources to the registry following a simple log in procedure.

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• RRID-Legacy
• 11 years ago - by Anonymous

A non-profit tissue bank that facilitates the distribution of non-transplantable tissue to the medical and research community. It provides snap frozen low post mortem interval (PMI) tissue, normal and diseased tissue, plastinated specimens, anatomical specimens, and specialty specimens. The foundation also works to increase public awareness of research tissue donation for medical research.

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• SciCrunch
• 16 years ago - by Anonymous

A NIfTI visualizer for statistical brain images (fMRI, VBM, etc) the iPad. The visualizer displays these images as overlay on the MNI standard brain. You can use it to store all your statistical images from your fMRI / VBM / TBSS studies and visualise them in 2D and 3D. Use NeuroPub as a library for your statistical images. It's the perfect app to bring to meetings, conferences, etc, and show your latest results.

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• SciCrunch
• 14 years ago - by Anonymous

Core fosters research and teaching activities related to bioinformatics and systems biology at UNMC. Provides infrastructure, resources, and educational training in bioinformatics with ultimate goal of promoting synergistic research activities at the intersection of computational and experimental disciplines. Used to analyze biomolecular datasets including DNA, RNA, proteins, etc.

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• SciCrunch
• 3 years ago - submitted by Edyta Vieth

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. Beta software used to align and browse a genome.

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• SciCrunch
• 15 years ago - by Anonymous

A versatile 1D, 2D and 3D data viewer geared for cross-platform visualization of stereotactic brain data. It is a 3-D viewer that allows volumetric data display and manipulation of axial, sagittal and coronal views. It reads Analyze, Raw-binary and NetCDF volumetric data, as well as, Multi-Contour Files (MCF), LWO/LWS surfaces, atlas hierarchical brain-region labelings ( Brain Trees). It is a portable Java-based software, which only requires a Java interpreter and a 64 MB of RAM memory to run on any computer architecture. LONI_Viz allows the user to interactively overlay and browse through several data volumes, zoom in and out in the axial, sagittal and coronal views, and reports the intensities and the stereo-tactic voxel and world coordinates of the data. Expert users can use LONI_Viz to delineate structures of interest, e.g., sulcal curves, on the 3 cardinal projections of the data. These curves then may be use to reconstruct surfaces representing the topological boundaries of cortical and sub-cortical regions of interest. The 3D features of the package include a SurfaceViewer and a full real-time VolumeRenderer. These allow the user to view the relative positions of different anatomical or functional regions which are not co-planar in any of the axial, sagittal or coronal 2D projection planes. The interactive part of LONI_Viz features a region drawing module used for manual delineation of regions of interest. A series of 2D contours describing the boundary of a region in projection planes (axial, sagittal or coronal) could be used to reconstruct the surface-representation of the 3D outer shell of the region. The latter could then be resliced in directions complementary to the drawing-direction and these complementary contours could be loaded in all tree cardinal views. In addition the surface object could be displayed using the SurfaceViewer. A pre-loading data crop and sub-sampling module allows the user to load and view practically data of any size. This is especially important when viewing cryotome, histological or stained data-sets which may reach 1GB (109 bytes) in size. The user could overlay several pre-registered volumes, change intensity colors and ranges and the inter-volume opacities to visually inspect similarities and differences between the different subjects/modalities. Several image-processing aids provide histogram plotting, image-smoothing, etc. Specific Features: * Region description DataBase * Moleculo-genetic database * Brain anatomical data viewer * BrainMapper tool * Surface (LightWave objects/scenes) and Volume rendering tools * Interactive Contour Drawing tool Implementation Issues: * Applet vs. Application - the software is available as both an applet and a standalone application. The former could be used to browse data from within the LONI database, however, it imposes restrictions on file-size, Internet connection and network-bandwidth and client/server file access. The later requires a local install and configuration of the LONI_Viz software * Extendable object-oriented code (Java), computer architecture independent * Complete online software documentation is available at http://www.loni.ucla.edu/LONI_Viz and a Java-Class documentation is available at http://www.loni.ucla.edu/~dinov/LONI_Vis.dir/doc/LONI_Viz_Java_Docs.html

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• SciCrunch
• 17 years ago - by Anonymous

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• NIF
• 3 years ago - by Anonymous

A Python package for representing electrophysiology data, together with support for reading a wide range of neurophysiology file formats, including Spike2, NeuroExplorer, AlphaOmega, Axon, Blackrock, Plexon, Tdt, and support for writing to a subset of these formats plus non-proprietary formats including HDF5. The goal of Neo is to improve interoperability between Python tools for analyzing, visualizing and generating electrophysiology data (such as OpenElectrophy, NeuroTools, G-node, Helmholtz, PyNN) by providing a common, shared object model. In order to be as lightweight a dependency as possible, Neo is deliberately limited to represention of data, with no functions for data analysis or visualization. Neo implements a hierarchical data model well adapted to intracellular and extracellular electrophysiology and EEG data with support for multi-electrodes (for example tetrodes). Neo's data objects build on the quantities package, which in turn builds on NumPy by adding support for physical dimensions. Thus Neo objects behave just like normal NumPy arrays, but with additional metadata, checks for dimensional consistency and automatic unit conversion.

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• SciCrunch
• 14 years ago - by Anonymous

Set of (mostly) C programs that run on X11+Unix-based platforms (Linux, Mac OS X, Solaris, etc.) for processing, analyzing, and displaying functional MRI (FMRI) data defined over 3D volumes and over 2D cortical surface meshes. AFNI is freely distributed as source code plus some precompiled binaries.

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• SciCrunch
• 17 years ago - by Anonymous

Core to uncover and interrogate important molecular pathways in cancer. Offers training scientists in all stages of modern microscopical research from advice on experimental design and sample preparation, basic and advanced microscope operation and data acquisition through to quantitative image analysis and interpretation.

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• SciCrunch
• 3 years ago - submitted by Edyta Vieth

Spinal Research committed to funding international research into cure for spinal cord paralysis. Charity that funds medical research for treating and curing spinal cord paralysis. Supports basic science, clinical research and funds PhD students. ISRT also hosts Annual Network Meetings.

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• SciCrunch
• 17 years ago - by Anonymous

A web-enabled brain surface viewer that allows the user to explore in real time a 3D brain map expressed on a base surface. BrainBrowser has two modes of operation, exploring either a pre-calculated database of structural correlation maps or working with user-defined data. In this mode, the user may choose to explore the correlation structure for cortical thickness, cortical area or cortical volume, or any other pre-calculated metric. In the second mode, the user is prompted for the local filenames of the statistical map and the base surface. BrainBrowser can also be used to manipulate 3D fibre pathways derived from DTI, using the same simple file format (.obj) as for surface data. BrainBrowser on Youtube: http://www.youtube.com/watch?v=HlRTUYUf1Ew NOTE: BrainBrowser requires a WebGL-enabled browser such as Google Chrome to support its 3D graphics capability.

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• SciCrunch
• 14 years ago - by Anonymous

Central micro/nano fabrication facility of Northwestern University. Provides range of nanofabrication equipment and technical expertise. Supports research in all areas of science, engineering, medicine, and interdisciplinary fields.

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• SciCrunch
• 7 years ago - submitted by Edyta Vieth

A software application and database viewing system for genomic research, more specifically formulti-genome comparison and pattern discovery via genome self-comparison. Data are available for a range of species including Human Chr3, Human Chr12, Sea Urchin, Tribolium, and cow. The Genboree Discovery System is the largest software system developed at the bioinformatics laboratory at Baylor in close collaboration with the Human Genome Sequencing Center. Genboree is a turnkey software system for genomic research. Genboree is hosted on the Internet and, as of early 2007, the number of registered users exceeds 600. While it can be configured to support almost any genome-centric discovery process, a number of configurations already exist for specific applications. Current focus is on enabling studies of genome variation, including array CGH studies, PCR-based resequencing, genome resequencing using comparative sequence assembly, genome remapping using paired-end tags and sequences, genome analysis and annotation, multi-genome comparison and pattern discovery via genome self-comparison. Genboree database and visualization settings, tools, and user roles are configurable to fit the needs of specific discovery processes. Private permanent project-specific databases can be accessed in a controlled way by collaborators via the Internet. Project-specific data is integrated with relevant data from public sources such as genome browsers and genomic databases. Data processing tools are integrated using a plug-in model. Genboree is extensible via flexible data-exchange formats to accommodate project specific tools and processing steps. Our Positional Hashing method, implemented in the Pash program, enables extremely fast and accurate sequence comparison and pattern discovery by employing low-level parallelism. Pash enables fast and sensitive detection of orthologous regions across mammalian genomes, and fast anchoring of hundreds of millions of short sequences produced by next-generation sequencing technologies. We are further developing the Pash program and employing it in the context of various discovery pipelines. Our laboratory participates in the pilot stage of the TCGA (The Cancer Genome Atlas) project. We aim to develop comprehensive, rapid, and economical methods for detecting recurrent chromosomal aberrations in cancer using next-generation sequencing technologies. The methods will allow detection of recurrent chromosomal aberrations in hundreds of small (

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• SciCrunch
• 17 years ago - by Anonymous

A software tool for post-processing diffusional kurtosis imaging (DKI) datasets. DKE consists of a suite of command-line programs along with a graphical user interface (GUI). DKE is currently supported on 32- and 64-bit Windows platforms. Given a set of diffusion-weighted images acquired following a valid DKI protocol, DKE generates a set of kurtosis (axial, mean, radial) parametric maps. DKE also generates diffusivity (axial, mean, radial) and fractional anisotropy maps using both DKI and diffusion tensor imaging signal models. DKE features include: DICOM and NIfTI format support, interactive (GUI) as well as batch mode (command-line) processing, and rigid-body motion correction. DKE implements the methods described in the following paper: Tabesh A, Jensen JH, Ardekani BA, and Helpern JA. Estimation of tensors and tensor-derived measures in diffusional kurtosis imaging. Mag Reson Med. 2011 Mar;65(3):823-36. http://www.ncbi.nlm.nih.gov/pubmed/21337412

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• SciCrunch
• 14 years ago - by Anonymous

Cancer research platform that aggregates clinical, genomic and functional data from various types of patient derived cancer models, xenographs, organoids and cell lines. Open catalog of harmonised patient-derived cancer models. Standardises, harmonises and integrates clinical metadata, molecular and treatment-based data from academic and commercial providers worldwide. Data is FAIR and underpins generation and testing of new hypotheses in cancer mechanisms and personalised medicine development. PDCM Finder have expanded to organoids and cell lines and is now called CancerModels.Org. PDCM Finder was launched in April 2022 as successor of PDX Finder portal, which focused solely on patient-derived xenograft models.

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• SciCrunch
• 3 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 13, 2012. Snippets of HTML that capture the information that is most important in a machine-readable, interlinked format, making it easier to see the big picture. aTags work with any Web text and can store and connect any textual element that is highlighted in a browser. The structure of the embedded RDF/OWL is decidedly simple: a very short piece of human-readable text that is "tagged" with relevant ontological entities. An aTag generator can be easily added to any web browser and allows researchers to quickly generate aTags out of key statements from web pages, such as PubMed abstracts. The resulting aTags can be embedded anywhere on the web, for example on blogs, wikis, or biomedical databases. aTag demonstrates how the resulting statements that are distributed over the web can be searched, visualized and aggregated with Semantic Web / Linked Data tools, and discusses how aTags can be used to answer practically relevant biomedical questions even though their structure is very simple. aTags are based on Semantic Web standards and Linked Data practices. Specifically, they make use of RDFa, the SIOC vocabulary and various domain ontologies and taxonomies that are available in RDF/OWL format. The autocomplete functionality is based on Apache Solr. Reference: Simple, ontology-based representation of biomedical statements through fine-granular entity tagging and new web standards Matthias Samwald and Holger Stenzhorn. Bio-Ontologies 2009., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

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• SciCrunch
• 17 years ago - by Anonymous

A medical image display package that allows easy viewing and analysis of Magnetic Resonance, x-ray CT and other types of medical image. Jim is an up-to-the-minute design with a familiar user-interface.

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• SciCrunch
• 14 years ago - by Anonymous