RNA-seq analysis converts sequencing reads into quantified expression measurements and statistically supported claims about which genes differ between conditions. The pipeline appears algorithmic, but ...
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例えばVolcano plotを描くとき、「y軸に使う補正後P値」の列名は、edgeRなら`FDR`、DESeq2なら`padj`、limmaなら`adj.P.Val`です。同じグラフでも入力データによって割り当てる列が変わる、というわけです ...
差异基因表达(DGE)分析是转录组学研究的基础,然而工具选择会显著影响结果。本研究比较了两种广泛使用的DGE工具edgeR和DESeq2,使用来自人类患者的真实和半模拟批量RNA-Seq数据集,涵盖病毒 ...
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在多因子RNA-seq研究中,传统批次校正工具常忽视批次与生物变量的交互效应,导致校正不彻底。为此,研究者开发了DESeq2-MultiBatch方法,直接利用DESeq2内部模型估计校正原始基因计数数据,可 ...
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Michael I. Love, Wolfgang Huber, Simon Anders, 2014, Genome Biology 今回は、Love・Huber・Anders による 「Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2」(2014) を紹介します。RNA-seq ...
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