Showing 3 open source projects for "aras-common"

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    EDDA

    Experiment Design for Differential Abundance Analysis

    EDDA is a tool for systematic assessment of the impact of experimental design and the statistical test used on the ability to detect differential abundance. EDDA can aid in the design of a range of common experiments such as RNA-seq, ChIP-seq, Nanostring assays, RIP-seq and Metagenomic sequencing, and enables researchers to comprehensively investigate the impact of experimental decisions on the ability to detect differential abundance. More details of EDDA can be found at Luo, Huaien et al. “The Importance of Study Design for Detecting Differentially Abundant Features in High-Throughput Experiments.” ...
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  • 2
    QUASI is a toolkit to rapidly assess the quality of shRNA-Seq based data and call differential abundance using common statistical inference methods (DESeq, edgeR, baySeq).
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  • 3
    Development of a common “open source” tool for assessing the accuracy of parameter estimates collected within the framework of the DCR (EU Regulation 1639/2001 and 1581/2004)
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