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Without the use of a visualisation and interpretation pipeline this step can be time consuming and laborious, and is often completed using R. Though commercial visualisation and interpretation pipelines are comprehensive, freely available pipelines are currently more limited.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>Here we demonstrate Searchlight, a freely available bulk RNA-seq visualisation and interpretation pipeline. Searchlight provides: a comprehensive statistical and visual analysis, focusing on the global, pathway and single gene levels; compatibility with most differential experimental designs irrespective of organism or experimental complexity, via three workflows; reports; and support for downstream user modification of plots via user-friendly R-scripts and a Shiny app. We show that Searchlight offers greater automation than current best tools (VIPER and BioJupies). We demonstrate in a timed re-analysis study, that alongside a standard bulk RNA-seq processing pipeline, Searchlight can be used to complete bulk RNA-seq projects up to the point of manuscript quality figures, in under 3 h.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>Compared to a manual R based analysis or current best freely available pipelines (VIPER and BioJupies), Searchlight can reduce the time and effort needed to complete bulk RNA-seq projects to manuscript level. Searchlight is suitable for bioinformaticians, service providers and bench scientists. <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/github.com\/Searchlight2\/Searchlight2\">https:\/\/github.com\/Searchlight2\/Searchlight2<\/jats:ext-link>.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12859-021-04321-2","type":"journal-article","created":{"date-parts":[[2021,8,19]],"date-time":"2021-08-19T10:08:42Z","timestamp":1629367722000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Searchlight: automated bulk RNA-seq exploration and visualisation using dynamically generated R scripts"],"prefix":"10.1186","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6386-766X","authenticated-orcid":false,"given":"John J.","family":"Cole","sequence":"first","affiliation":[]},{"given":"Bekir A.","family":"Faydaci","sequence":"additional","affiliation":[]},{"given":"David","family":"McGuinness","sequence":"additional","affiliation":[]},{"given":"Robin","family":"Shaw","sequence":"additional","affiliation":[]},{"given":"Rose A.","family":"Maciewicz","sequence":"additional","affiliation":[]},{"given":"Neil A.","family":"Robertson","sequence":"additional","affiliation":[]},{"given":"Carl S.","family":"Goodyear","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,8,19]]},"reference":[{"key":"4321_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13059-015-0866-z","volume":"17","author":"A Conesa","year":"2016","unstructured":"Conesa A, et al. 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