Showing 4 open source projects for "reference management"

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    EEGLAB

    EEGLAB

    EEGLAB is an open source signal processing environment

    EEGLAB is an open source, MATLAB-based interactive environment for analyzing electrophysiological signals such as EEG and MEG. It incorporates powerful tools for data import, preprocessing, independent component analysis (ICA), time-frequency analysis, artifact rejection, and visualization—all within a GUI framework that also supports scripting and plugin extensions. EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and Octave (command...
    Downloads: 8 This Week
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  • 2
    SageMaker Spark Container

    SageMaker Spark Container

    Docker image used to run data processing workloads

    Apache Spark™ is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing. The SageMaker Spark Container is a Docker image used to run batch data...
    Downloads: 0 This Week
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  • 3
    XParallax viu

    XParallax viu

    Software for automated astrometry

    XParallax viu is a free software tool for automated astrometric data reduction of astronomic CCD images. It helps astronomers to perform an accurate astrometric reduction of dozens ore even hundreds of images which can be used in subsequent data analysis process. Fit headers generated by this software are fully compatible with other commonly used image utilities like SAO DS9 or Aladin Sky Atlas.
    Downloads: 34 This Week
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  • 4

    PRADA

    PRADA : Pipeline for RNA-Sequencing Data Analysis

    Massively parallel sequencing of cDNA reverse transcribed from RNA (RNASeq) provides an accurate estimate of the quantity and composition of mRNAs. To characterize the transcriptome through the analysis of RNA-seq data, we developed PRADA. PRADA focuses on the processing and analysis of gene expression estimates, supervised and unsupervised gene fusion identification, and supervised intragenic deletion identification. PRADA currently supports 7 modules to process and identify...
    Downloads: 0 This Week
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