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GEOexplorer: a webserver for gene expression analysis and visualisation

Gene Expression Omnibus (GEO) is a database repository hosting a substantial proportion of publicly available high throughput gene expression data. Gene expression analysis is a powerful tool to gain insight into the mechanisms and processes underlying the biological and phenotypic differences betwe...

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Autores principales: Hunt, Guy P, Grassi, Luigi, Henkin, Rafael, Smeraldi, Fabrizio, Spargo, Thomas P, Kabiljo, Renata, Koks, Sulev, Ibrahim, Zina, Dobson, Richard J B, Al-Chalabi, Ammar, Barnes, Michael R, Iacoangeli, Alfredo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252785/
https://www.ncbi.nlm.nih.gov/pubmed/35609980
http://dx.doi.org/10.1093/nar/gkac364
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author Hunt, Guy P
Grassi, Luigi
Henkin, Rafael
Smeraldi, Fabrizio
Spargo, Thomas P
Kabiljo, Renata
Koks, Sulev
Ibrahim, Zina
Dobson, Richard J B
Al-Chalabi, Ammar
Barnes, Michael R
Iacoangeli, Alfredo
author_facet Hunt, Guy P
Grassi, Luigi
Henkin, Rafael
Smeraldi, Fabrizio
Spargo, Thomas P
Kabiljo, Renata
Koks, Sulev
Ibrahim, Zina
Dobson, Richard J B
Al-Chalabi, Ammar
Barnes, Michael R
Iacoangeli, Alfredo
author_sort Hunt, Guy P
collection PubMed
description Gene Expression Omnibus (GEO) is a database repository hosting a substantial proportion of publicly available high throughput gene expression data. Gene expression analysis is a powerful tool to gain insight into the mechanisms and processes underlying the biological and phenotypic differences between sample groups. Despite the wide availability of gene expression datasets, their access, analysis, and integration are not trivial and require specific expertise and programming proficiency. We developed the GEOexplorer webserver to allow scientists to access, integrate and analyse gene expression datasets without requiring programming proficiency. Via its user-friendly graphic interface, users can easily apply GEOexplorer to perform interactive and reproducible gene expression analysis of microarray and RNA-seq datasets, while producing a wealth of interactive visualisations to facilitate data exploration and interpretation, and generating a range of publication ready figures. The webserver allows users to search and retrieve datasets from GEO as well as to upload user-generated data and combine and harmonise two datasets to perform joint analyses. GEOexplorer, available at https://geoexplorer.rosalind.kcl.ac.uk, provides a solution for performing interactive and reproducible analyses of microarray and RNA-seq gene expression data, empowering life scientists to perform exploratory data analysis and differential gene expression analysis on-the-fly without informatics proficiency.
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spelling pubmed-92527852022-07-05 GEOexplorer: a webserver for gene expression analysis and visualisation Hunt, Guy P Grassi, Luigi Henkin, Rafael Smeraldi, Fabrizio Spargo, Thomas P Kabiljo, Renata Koks, Sulev Ibrahim, Zina Dobson, Richard J B Al-Chalabi, Ammar Barnes, Michael R Iacoangeli, Alfredo Nucleic Acids Res Web Server Issue Gene Expression Omnibus (GEO) is a database repository hosting a substantial proportion of publicly available high throughput gene expression data. Gene expression analysis is a powerful tool to gain insight into the mechanisms and processes underlying the biological and phenotypic differences between sample groups. Despite the wide availability of gene expression datasets, their access, analysis, and integration are not trivial and require specific expertise and programming proficiency. We developed the GEOexplorer webserver to allow scientists to access, integrate and analyse gene expression datasets without requiring programming proficiency. Via its user-friendly graphic interface, users can easily apply GEOexplorer to perform interactive and reproducible gene expression analysis of microarray and RNA-seq datasets, while producing a wealth of interactive visualisations to facilitate data exploration and interpretation, and generating a range of publication ready figures. The webserver allows users to search and retrieve datasets from GEO as well as to upload user-generated data and combine and harmonise two datasets to perform joint analyses. GEOexplorer, available at https://geoexplorer.rosalind.kcl.ac.uk, provides a solution for performing interactive and reproducible analyses of microarray and RNA-seq gene expression data, empowering life scientists to perform exploratory data analysis and differential gene expression analysis on-the-fly without informatics proficiency. Oxford University Press 2022-05-24 /pmc/articles/PMC9252785/ /pubmed/35609980 http://dx.doi.org/10.1093/nar/gkac364 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Web Server Issue
Hunt, Guy P
Grassi, Luigi
Henkin, Rafael
Smeraldi, Fabrizio
Spargo, Thomas P
Kabiljo, Renata
Koks, Sulev
Ibrahim, Zina
Dobson, Richard J B
Al-Chalabi, Ammar
Barnes, Michael R
Iacoangeli, Alfredo
GEOexplorer: a webserver for gene expression analysis and visualisation
title GEOexplorer: a webserver for gene expression analysis and visualisation
title_full GEOexplorer: a webserver for gene expression analysis and visualisation
title_fullStr GEOexplorer: a webserver for gene expression analysis and visualisation
title_full_unstemmed GEOexplorer: a webserver for gene expression analysis and visualisation
title_short GEOexplorer: a webserver for gene expression analysis and visualisation
title_sort geoexplorer: a webserver for gene expression analysis and visualisation
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252785/
https://www.ncbi.nlm.nih.gov/pubmed/35609980
http://dx.doi.org/10.1093/nar/gkac364
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