{ "_id": "6a1aac0c1d7bb097a09d4ddd", "Package": "proActiv", "Title": "Estimate Promoter Activity from RNA-Seq data", "Version": "1.23.0", "Authors@R": "c(\nperson(given = \"Deniz\",\nfamily = \"Demircioglu\",\nrole = c(\"aut\"),\nemail = \"ddemircioglu@gis.a-star.edu.sg\",\ncomment = c(ORCID = \"0000-0001-7857-0407\")),\nperson(given = \"Jonathan\",\nfamily = \"Göke\",\nrole = c(\"aut\"),\nemail = \"gokej@gis.a-star.edu.sg\"),\nperson(given = \"Joseph\",\nfamily = \"Lee\",\nrole = c(\"cre\"),\nemail = \"joseph.lee@u.nus.edu\"))", "Description": "Most human genes have multiple promoters that control the\nexpression of different isoforms. The use of these alternative\npromoters enables the regulation of isoform expression\npre-transcriptionally. Alternative promoters have been found to\nbe important in a wide number of cell types and diseases.\nproActiv is an R package that enables the analysis of promoters\nfrom RNA-seq data. proActiv uses aligned reads as input, and\ngenerates counts and normalized promoter activity estimates for\neach annotated promoter. In particular, proActiv accepts\njunction files from TopHat2 or STAR or BAM files as inputs.\nThese estimates can then be used to identify which promoter is\nactive, which promoter is inactive, and which promoters change\ntheir activity across conditions. proActiv also allows\nvisualization of promoter activity across conditions.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.1", "URL": "https://github.com/GoekeLab/proActiv", "biocViews": "RNASeq, GeneExpression, Transcription, AlternativeSplicing,\nGeneRegulation, DifferentialSplicing, FunctionalGenomics,\nEpigenetics, Transcriptomics, Preprocessing", "VignetteBuilder": "knitr", "Config/pak/sysreqs": "make libbz2-dev libicu-dev liblzma-dev libpng-dev\nlibxml2-dev libssl-dev xz-utils zlib1g-dev", "Repository": "https://bioc.r-universe.dev", "Date/Publication": "2026-04-28 12:53:39 UTC", "RemoteUrl": "https://github.com/bioc/proActiv", "RemoteRef": "HEAD", "RemoteSha": 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