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Searchlight: automated bulk RNA-seq exploration and visualisation using dynamically generated R scripts.
Cole, John J; Faydaci, Bekir A; McGuinness, David; Shaw, Robin; Maciewicz, Rose A; Robertson, Neil A; Goodyear, Carl S.
Afiliação
  • Cole JJ; Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, G12 8TA, Scotland, UK. John.Cole@glasgow.ac.uk.
  • Faydaci BA; GLAZgo Discovery Centre, Sir Graeme Davies Building, 120 University Place, Glasgow, G12 8TA, Scotland, UK. John.Cole@glasgow.ac.uk.
  • McGuinness D; Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, G12 8TA, Scotland, UK.
  • Shaw R; Glasgow Polyomics, Wolfson-Wohl Building, University of Glasgow, Garscube Estate, Glasgow, G61 1BD, Scotland, UK.
  • Maciewicz RA; Beatson Institute for Cancer Research and University of Glasgow, Garscube Estate, Glasgow, G61 1BD, Scotland, UK.
  • Robertson NA; Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, G12 8TA, Scotland, UK.
  • Goodyear CS; GLAZgo Discovery Centre, Sir Graeme Davies Building, 120 University Place, Glasgow, G12 8TA, Scotland, UK.
BMC Bioinformatics ; 22(1): 411, 2021 Aug 19.
Article em En | MEDLINE | ID: mdl-34412594
BACKGROUND: Once bulk RNA-seq data has been processed, i.e. aligned and then expression and differential tables generated, there remains the essential process where the biology is explored, visualized and interpreted. 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. RESULTS: 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. CONCLUSIONS: 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. https://github.com/Searchlight2/Searchlight2 .
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Publicações / Software Idioma: En Revista: BMC Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Publicações / Software Idioma: En Revista: BMC Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article