Showing 4 open source projects for "statistical analysis"

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    The Sashimi project hosts the Trans-Proteomic Pipeline (TPP), a mature suite of tools for mass-spec (MS, MS/MS) based proteomics: statistical validation, quantitation, visualization, and converters from raw MS data to the open mzML/mzXML formats.
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    Downloads: 8 This Week
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  • 2

    GrowthRates

    Calculate growth rates from microplate reader output

    ...GrowthRates completely analyzes growth parameters in all 384 wells in under 5 minutes. CGR2 (Compare Growth Rates) is a statistical program specifically designed to assess the results of a growth rate experiment that has been analyzed using the program GrowthRates. The purpose of a statistical analysis is to establish our level of trust in both the data and in the conclusions we draw from that data. Both the GrowthRate and CGR2 packages are
    Downloads: 5 This Week
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  • 3

    ISVASE

    identification of sequence variant associated with splicing event

    To generate correct mature mRNAs, the exons must be identified and joined together precisely and efficiently by RNA splicing mechanism. It is to be noted that about one third or a half of all disease-causing mutations effect RNA splicing. However, there is little bioinformatics tools to directly identify sequence variants associated with splicing events (SVASE) based on RNA-seq data. We developed ISVASE, a simple and convenient tool for identifying SVASE directly using RNA-seq data....
    Downloads: 0 This Week
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  • 4

    iMir

    Integrated pipeline for HT miRNA-Seq data analysis

    Processing of smallRNA-Seq data to gather biologically relevant information requires application of multiple statistical and bioinformatics tools from different sources, each focusing on a specific step of the analysis pipeline. The analytical workflow can be challenging for the continuous interventions by the operator, a critical factor when large numbers of datasets need to be analyzed at once. To allow a flexible and comprehensive analysis of smallRNA-Seq data we designed a novel modular pipeline, called iMir, integrating multiple open source modules and resource in an automated workflow, devising different statistical approaches to analyze data rigorously. iMir comprises also a Graphical User Interface (GUI), so that the pipeline is particularly suited for biologist and early stage bioinformaticians and produces both graphics and text outputs.
    Downloads: 0 This Week
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