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This metric\ncan be used to identify features prone to false-positive calls\nin Differential Expression analysis, and can be leveraged with\nstatistical methods to alleviate the impact of such artefacts\non RNA-seq data.", "Authors@R": "c(person(\"Lachlan\", \"Baer\",\nemail = \"baerlachlan@gmail.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0001-5213-3401\")),\nperson(\"Stevie\", \"Pederson\",\nemail = \"stephen.pederson.au@gmail.com\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0001-8197-3303\")))", "License": "GPL-3", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.2", "Config/testthat/edition": "3", "BugReports": "https://github.com/baerlachlan/tadar/issues", "URL": "https://github.com/baerlachlan/tadar", "BiocType": "Software", "biocViews": "Sequencing, RNASeq, SNP, GenomicVariation,\nVariantAnnotation, DifferentialExpression", "VignetteBuilder": "knitr", "Config/pak/sysreqs": "cmake make libbz2-dev libicu-dev 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