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  "Title": "Generally applicable transcriptome-wide analysis of\ntranslational efficiency using anota2seq",
  "Author": "Christian Oertlin <christian.oertlin@ki.se>, Julie Lorent\n<julie.lorent@ki.se>, Ola Larsson <ola.larsson@ki.se>",
  "Maintainer": "Christian Oertlin <christian.oertlin@ki.se>, Ola Larsson\n<ola.larsson@ki.se>",
  "Description": "anota2seq provides analysis of translational efficiency\nand differential expression analysis for polysome-profiling and\nribosome-profiling studies (two or more sample classes)\nquantified by RNA sequencing or DNA-microarray.\nPolysome-profiling and ribosome-profiling typically generate\ndata for two RNA sources; translated mRNA and total mRNA.\nAnalysis of differential expression is used to estimate changes\nwithin each RNA source (i.e. translated mRNA or total mRNA).\nAnalysis of translational efficiency aims to identify changes\nin translation efficiency leading to altered protein levels\nthat are independent of total mRNA levels (i.e. changes in\ntranslated mRNA that are independent of levels of total mRNA)\nor buffering, a mechanism regulating translational efficiency\nso that protein levels remain constant despite fluctuating\ntotal mRNA levels (i.e. changes in total mRNA that are\nindependent of levels of translated mRNA). anota2seq applies\nanalysis of partial variance and the random variance model to\nfulfill these tasks.",
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        "anota2seq_data_P",
        "anota2seq_data_T",
        "anota2seq_pheno_vec"
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      "title": "Visualization of anota2seq results",
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