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Searchlight: automated bulk RNA-seq exploration and visualisation using dynamically generated R scripts

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 ti...

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Autores principales: Cole, John J., Faydaci, Bekir A., McGuinness, David, Shaw, Robin, Maciewicz, Rose A., Robertson, Neil A., Goodyear, Carl S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8375142/
https://www.ncbi.nlm.nih.gov/pubmed/34412594
http://dx.doi.org/10.1186/s12859-021-04321-2
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author Cole, John J.
Faydaci, Bekir A.
McGuinness, David
Shaw, Robin
Maciewicz, Rose A.
Robertson, Neil A.
Goodyear, Carl S.
author_facet Cole, John J.
Faydaci, Bekir A.
McGuinness, David
Shaw, Robin
Maciewicz, Rose A.
Robertson, Neil A.
Goodyear, Carl S.
author_sort Cole, John J.
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-021-04321-2.
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spelling pubmed-83751422021-08-19 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. BMC Bioinformatics Software 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-021-04321-2. BioMed Central 2021-08-19 /pmc/articles/PMC8375142/ /pubmed/34412594 http://dx.doi.org/10.1186/s12859-021-04321-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Software
Cole, John J.
Faydaci, Bekir A.
McGuinness, David
Shaw, Robin
Maciewicz, Rose A.
Robertson, Neil A.
Goodyear, Carl S.
Searchlight: automated bulk RNA-seq exploration and visualisation using dynamically generated R scripts
title Searchlight: automated bulk RNA-seq exploration and visualisation using dynamically generated R scripts
title_full Searchlight: automated bulk RNA-seq exploration and visualisation using dynamically generated R scripts
title_fullStr Searchlight: automated bulk RNA-seq exploration and visualisation using dynamically generated R scripts
title_full_unstemmed Searchlight: automated bulk RNA-seq exploration and visualisation using dynamically generated R scripts
title_short Searchlight: automated bulk RNA-seq exploration and visualisation using dynamically generated R scripts
title_sort searchlight: automated bulk rna-seq exploration and visualisation using dynamically generated r scripts
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8375142/
https://www.ncbi.nlm.nih.gov/pubmed/34412594
http://dx.doi.org/10.1186/s12859-021-04321-2
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