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## IsoformSwitchAnalyzeR: Identify, Annotate and Visualize Alternative Splicing and Isoform Switches with Functional Consequences from both short- and long-read RNA-seq data. Since 2010, state-of-the-art bioinformatics tools have allowed researchers to reconstruct and quantify full length transcripts from RNA-seq data. Such genome-wide isoform resolution data has the potential to facilitate both genome-wide analysis of alternative isoform usage and identification of isoform switching. Unfortunately, these types of analyses are still only rarely done and/or reported --- in fact, only 11% of articles analyzing RNA-seq data published since 2016 performed any isoform analysis. To solve these problems we developed IsoformSwitchAnalyzeR. IsoformSwitchAnalyzeR is an easy to use R package which enables statistical identification as well as visualization of isoform switches with predicted functional consequences from RNA-seq data. # Installation We *highly* recommend installing the latest version of [IsoformSwitchAnalyzeR from Bioconductor]( This can be done by running the following in an R terminal: ``` if (!requireNamespace("BiocManager", quietly = TRUE)){ install.packages("BiocManager") } BiocManager::install(version='devel') BiocManager::install("IsoformSwitchAnalyzeR") ``` Alternatively IsoformSwitchAnalyzeR can be installed from github by running the following in an R terminal: ``` if (!requireNamespace("devtools", quietly = TRUE)){ install.packages("devtools") } devtools::install_github("kvittingseerup/IsoformSwitchAnalyzeR", build_vignettes = TRUE) ``` # Vignette The vignette contains a lot of information on how to use IsoformSwitchAnalyzeR and what it can be used for. After installation, the vignette can be accessed from the R console by typing: ``` browseVignettes("IsoformSwitchAnalyzeR") ``` Alternatively, it can be accessed online (through Bioconductor) [here](