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https://abionline.com/

An Antibody supplier

Proper citation: Advanced Biotechnologies (RRID:SCR_013579) Copy   

•   Source: SciCrunch Registry
  

https://www.itntrialshare.org/

Immune tolerance data management and visualization portal for studies sponsored by Immune Tolerance Network (ITN) and collaborating investigators. Data from published studies are accessible to any user; data from current in-progress studies are accessible to study investigators and collaborators. Includes links to published Figures, tools for visualization and analysis of data, and ability to query study data by subject, group, or any other study parameter.

Proper citation: Immune Tolerance Network TrialShare (RRID:SCR_013699) Copy   

•   Source: SciCrunch Registry
  

http://www.abnova.com/

An Antibody supplier

Proper citation: Abnova Corporation (RRID:SCR_013592) Copy   

•   Source: SciCrunch Registry
  

http://www.ks.uiuc.edu/

The Theoretical and Computational Biophysics Group (TCBG), an NIH Resource for Macromolecular Modeling and Bioinformatics, was founded by Professor Klaus Schulten in 1989 and is located at the Beckman Institute of the University of Illinois at Urbana-Champaign (UIUC). The group is led by Professor Klaus Schulten (Physics, Biophysics, Chemistry) with Professors Laxmikant Kale (Computer Science), Zaida Luthey-Schulten (Chemistry) and Alek Aksimentiev (Physics), and with the Resource''s assistant director Dr. Emad Tajkhorshid (Biophysics). Research and development activities of the TCBG center on the structure and function of supramolecular systems in the living cell, and on the development of new algorithms and efficient computing tools for structural biology. :The TCBG brings the most advanced molecular modeling, bioinformatics, and computational technologies to bear on questions of biomedical relevance. We extend, refine and deliver these technologies in response to experimental progress and emerging needs of the wide biomedical research community. We magnify the impact of our work through direct collaboration with experimental researchers, the distribution of cutting-edge and user-friendly software, and via extensive training, service, and dissemination efforts. :cell, algorithm, simulation software, membrane potential, genome, molecule, ion channel, chromatin, Image Processing software, data Data visualization software, simulation software; Membrane Biophysics, Mechanobiology, Nanoengineering, Bioenergetics, Neurobiology, Molecular Dynamics, cellular membrane, osmotic pressure, proteins (use protein), Gatekeeper Protein, membrane, mechanosensitive channel of small conductance (MscS), Visual Molecular Dynamics (VMD), Quantum Biology, quantum chemistry, Molecular Dynamics Simulator, Nanoscale Imaging, cellular membrane tension, bacterial cell, electron paramagnetic measurements, computer modeling, atomic detail, computational microscope, Lipoproteins [high density lipoproteins (HDL)], Petascale Computing, Macromolecular Modeling, Bioinformatics, supramolecular systems, living cell, algorithms (use algorithm), computing tools, structural biology, molecular modeling, computational technologies, membrane proteins, structural information, molecular visualization, Molecular modeling tools, structural information, bioinformatics databases, molecular dynamics simulations, interactive modeling, collaborations, theoretical, experimental researchers, light energy, electrical membrane potentials (use membrane potential, add term as syn), synthesis of ATP, photosynthetic systems, storage and control of genetic information, classical and quantum dynamical motion of biopolymers, numerical experiments, non-equilibrium statistical mechanics, elasticity theory, theory of disordered systems, collaborative environment, Software Development, cells (use cell), molecular graphics viewer, static and dynamic structures, DNA sequencing, genomes (use genome), direct manipulation and observation, single molecules (use molecule), bioenergetic proteins, nanotechnology, steered/interactive molecular dynamics, dissemination, coarse-graining methods, residue-based and shape-based coarse graining, CG, polymeric systems, Computational Environment, Training, Workshops, Tutorials, Case Studies, Classes, research, Highly Cited, compute power, visualization equipment, desktop workstations, lipid bilayers, allow passage of ions across the membrane (use ion channel), mechanotransduction, membrane tension, 3-D graphics, built-in scripting, animating, analyzing, ideal DNA interbasepair helical parameters, plugin, nucleosomes, antialiasing, depthcueing, Molecular Representations, analysis and Data visualization software (use Image Processing software, and data Data visualization software, add terms as syn.), computer simulations (use simulation software), photosynthetic systems, computational clusters :

Proper citation: Theoretical and Computational Biophysics Group (TCBG) (RRID:SCR_013598) Copy   

•   Source: SciCrunch Registry
  

http://highwire.stanford.edu/

A division of the Stanford University Libraries, which produces the online versions of journals and other scholarly content.

Proper citation: HighWire Press (RRID:SCR_000761) Copy   

•   Source: SciCrunch Registry
  

http://harvard.eagle-i.net/i/0000012e-58c7-d44f-55da-381e80000000

Core to provide gene expression data analysis service. Activities range from the provision of services to fully collaborative grant funded investigations.

Proper citation: Harvard Partners HealthCare Center for Personalized Genetic Medicine Bioinformatics Core Facility (RRID:SCR_000882) Copy   

•   Source: SciCrunch Registry
  

http://w3.cns.org/university/webinar/index2.asp

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 6,2023. A series of of webinars offered directly to users' computers. The webinars are offered in a variety of subjects, including neurotrauma, spine, tumor and vascular. Each webinars costs $35 US and offers CME credit.

Proper citation: University of Neurosurgery Webinar Series (RRID:SCR_000639) Copy   

•   Source: SciCrunch Registry
  

http://neuralensemble.org/neo/

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.

Proper citation: Neo (RRID:SCR_000634) Copy   

•   Source: SciCrunch Registry
  

http://www.dundee.ac.uk/

University in Scotland, UK that provides undergraduate and doctoral degree programs.

Proper citation: University of Dundee; Scotland; United Kingdom (RRID:SCR_000997) Copy   

•   Source: SciCrunch Registry
  

http://www.tufts.edu/

Private research university in Medford and Somerville, Massachusetts, United States, with additional facilities in Boston and Grafton, as well as Talloires, France. Provides undergraduate, graduate, and professional degree programs.

Proper citation: Tufts University; Massachusetts; USA (RRID:SCR_000994) Copy   

•   Source: SciCrunch Registry
  

http://www.icpsr.umich.edu/icpsrweb/NAHDAP/

Archive that acquires, preserves and disseminates data relevant to drug addiction and HIV research. Collection of data on drug addiction and HIV infection in United States. Most of datasets are raw data from surveys, interviews, and administrative records. They were originally gathered in research projects and for administrative purposes. Some datasets have been used in published studies. Bibliographies of these studies are available . Provides access to research data and technical assistance for data depositors. Provides e-workshops on data preparation and data systems.

Proper citation: National Addiction and HIV Data Archive Program (NAHDAP) (RRID:SCR_000636) Copy   

•   Source: SciCrunch Registry
  

http://www.pasteur-lille.fr/

Pasteur Institute of Lille is an international research institute in Lille, France focused on bettering human health by detecting risk factors in degenerative diseases.

Proper citation: Pasteur Institute of Lille; Lille; France (RRID:SCR_000990) Copy   

•   Source: SciCrunch Registry
  

http://athina.biol.uoa.gr/CAST/

A novel algorithm for low-complexity region detection and selective masking. The algorithm is based on multiple-pass Smith-Waterman comparison of the query sequence against twenty homopolymers with infinite gap penalties. The output of the algorithm is both the masked query sequence for further analysis, e.g. database searches, as well as the regions of low complexity.

Proper citation: CAST (RRID:SCR_000628) Copy   

•   Source: SciCrunch Registry
  

https://team.inria.fr/empenn/research/

Research team focused on research and development of new algorithms in medical imaging, information processing and computer assisted intervention in the context of the pathologies of the central nervous system. Research team jointly affiliated to INSERM (National Institute of Health and Scientific Research), Inria (National Institute of Research in Computer Sciences and Automation) and IRISA / UMR CNRS 6074, University of Rennes I. Multidisciplinary team merging researchers in image processing and medical doctors.

Proper citation: VISAGES Research (RRID:SCR_000749) Copy   

•   Source: SciCrunch Registry
  

http://orwh.od.nih.gov/

The Office of Research on Women's Health (ORWH) is part of the Office of the Director of NIH. ORWH works in partnership with the 27 NIH Institutes and Centers to ensure that women’s health research is part of the scientific framework at the NIH and throughout the scientific community.

Proper citation: NIH Office of Research on Women's Health; Bethesda; Maryland (RRID:SCR_000986) Copy   

•   Source: SciCrunch Registry
  

http://fcp-indi.github.io

A configurable, open-source, Nipype-based, automated processing pipeline for resting state functional MRI (R-fMRI) data, for use by both novice and expert users. C-PAC was designed to bring the power, flexibility and elegance of the Nipype platform to users in a plug and play fashion?without requiring the ability to program. Using an easy to read, text-editable configuration file, C-PAC can rapidly orchestrate automated R-fMRI processing procedures, including: - quality assurance measurements - image preprocessing based upon user specified preferences - generation of functional connectivity maps (e.g., correlation analyses) - customizable extraction of time-series data - generation of local R-fMRI metrics (e.g., regional homogeneity, voxel-matched homotopic connectivity, fALFF/ALFF) C-PAC makes it possible to use a single configuration file to launch a factorial number of pipelines differing with respect to specific processing steps.

Proper citation: C-PAC (RRID:SCR_000862) Copy   

•   Source: SciCrunch Registry
  

http://www.ntu.edu.tw/english/

A national research university in Taipei, Taiwan. The university confers degrees at the undergraduate and graduate level bio-resources and agriculture, electrical engineering and computer science, engineering, law, liberal arts, management, medicine, public health, and the social sciences.

Proper citation: National Taiwan University; Taipei; Taiwan (RRID:SCR_000983) Copy   

•   Source: SciCrunch Registry
  

http://www.helsinki.fi/bsg/software/BEBaC/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Software for Bayesian estimation of bacterial communities.

Proper citation: BEBaC (RRID:SCR_000621) Copy   

•   Source: SciCrunch Registry
  

http://www.nus.edu.sg

A public university located in Singapore that has a wide range of faculties and schools, including arts, business, computing, and dentistry.

Proper citation: National University of Singapore; Singapore; Singapore (RRID:SCR_000984) Copy   

•   Source: SciCrunch Registry
  

http://genboree.org

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 (

Proper citation: Genboree Discovery System (RRID:SCR_000747) Copy   

•   Source: SciCrunch Registry