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Molecular Subtyping Resource: a user-friendly tool for rapid biological discovery from transcriptional data
Generation of transcriptional data has dramatically increased in the past decade, driving the development of analytical algorithms that enable interrogation of the biology underpinning the profiled samples. However, these resources require users to have expertise in data wrangling and analytics, red...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Company of Biologists Ltd
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8990914/ https://www.ncbi.nlm.nih.gov/pubmed/35112706 http://dx.doi.org/10.1242/dmm.049257 |
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author | Ahmaderaghi, Baharak Amirkhah, Raheleh Jackson, James Lannagan, Tamsin R. M. Gilroy, Kathryn Malla, Sudhir B. Redmond, Keara L. Quinn, Gerard McDade, Simon S. ACRCelerate Consortium, Maughan, Tim Leedham, Simon Campbell, Andrew S. D. Sansom, Owen J. Lawler, Mark Dunne, Philip D. |
author_facet | Ahmaderaghi, Baharak Amirkhah, Raheleh Jackson, James Lannagan, Tamsin R. M. Gilroy, Kathryn Malla, Sudhir B. Redmond, Keara L. Quinn, Gerard McDade, Simon S. ACRCelerate Consortium, Maughan, Tim Leedham, Simon Campbell, Andrew S. D. Sansom, Owen J. Lawler, Mark Dunne, Philip D. |
author_sort | Ahmaderaghi, Baharak |
collection | PubMed |
description | Generation of transcriptional data has dramatically increased in the past decade, driving the development of analytical algorithms that enable interrogation of the biology underpinning the profiled samples. However, these resources require users to have expertise in data wrangling and analytics, reducing opportunities for biological discovery by ‘wet-lab’ users with a limited programming skillset. Although commercial solutions exist, costs for software access can be prohibitive for academic research groups. To address these challenges, we have developed an open source and user-friendly data analysis platform for on-the-fly bioinformatic interrogation of transcriptional data derived from human or mouse tissue, called Molecular Subtyping Resource (MouSR). This internet-accessible analytical tool, https://mousr.qub.ac.uk/, enables users to easily interrogate their data using an intuitive ‘point-and-click’ interface, which includes a suite of molecular characterisation options including quality control, differential gene expression, gene set enrichment and microenvironmental cell population analyses from RNA sequencing. The MouSR online tool provides a unique freely available option for users to perform rapid transcriptomic analyses and comprehensive interrogation of the signalling underpinning transcriptional datasets, which alleviates a major bottleneck for biological discovery. This article has an associated First Person interview with the first author of the paper. |
format | Online Article Text |
id | pubmed-8990914 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Company of Biologists Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-89909142022-04-08 Molecular Subtyping Resource: a user-friendly tool for rapid biological discovery from transcriptional data Ahmaderaghi, Baharak Amirkhah, Raheleh Jackson, James Lannagan, Tamsin R. M. Gilroy, Kathryn Malla, Sudhir B. Redmond, Keara L. Quinn, Gerard McDade, Simon S. ACRCelerate Consortium, Maughan, Tim Leedham, Simon Campbell, Andrew S. D. Sansom, Owen J. Lawler, Mark Dunne, Philip D. Dis Model Mech Resource Article Generation of transcriptional data has dramatically increased in the past decade, driving the development of analytical algorithms that enable interrogation of the biology underpinning the profiled samples. However, these resources require users to have expertise in data wrangling and analytics, reducing opportunities for biological discovery by ‘wet-lab’ users with a limited programming skillset. Although commercial solutions exist, costs for software access can be prohibitive for academic research groups. To address these challenges, we have developed an open source and user-friendly data analysis platform for on-the-fly bioinformatic interrogation of transcriptional data derived from human or mouse tissue, called Molecular Subtyping Resource (MouSR). This internet-accessible analytical tool, https://mousr.qub.ac.uk/, enables users to easily interrogate their data using an intuitive ‘point-and-click’ interface, which includes a suite of molecular characterisation options including quality control, differential gene expression, gene set enrichment and microenvironmental cell population analyses from RNA sequencing. The MouSR online tool provides a unique freely available option for users to perform rapid transcriptomic analyses and comprehensive interrogation of the signalling underpinning transcriptional datasets, which alleviates a major bottleneck for biological discovery. This article has an associated First Person interview with the first author of the paper. The Company of Biologists Ltd 2022-03-30 /pmc/articles/PMC8990914/ /pubmed/35112706 http://dx.doi.org/10.1242/dmm.049257 Text en © 2022. Published by The Company of Biologists Ltd 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 use, distribution and reproduction in any medium provided that the original work is properly attributed. |
spellingShingle | Resource Article Ahmaderaghi, Baharak Amirkhah, Raheleh Jackson, James Lannagan, Tamsin R. M. Gilroy, Kathryn Malla, Sudhir B. Redmond, Keara L. Quinn, Gerard McDade, Simon S. ACRCelerate Consortium, Maughan, Tim Leedham, Simon Campbell, Andrew S. D. Sansom, Owen J. Lawler, Mark Dunne, Philip D. Molecular Subtyping Resource: a user-friendly tool for rapid biological discovery from transcriptional data |
title | Molecular Subtyping Resource: a user-friendly tool for rapid biological discovery from transcriptional data |
title_full | Molecular Subtyping Resource: a user-friendly tool for rapid biological discovery from transcriptional data |
title_fullStr | Molecular Subtyping Resource: a user-friendly tool for rapid biological discovery from transcriptional data |
title_full_unstemmed | Molecular Subtyping Resource: a user-friendly tool for rapid biological discovery from transcriptional data |
title_short | Molecular Subtyping Resource: a user-friendly tool for rapid biological discovery from transcriptional data |
title_sort | molecular subtyping resource: a user-friendly tool for rapid biological discovery from transcriptional data |
topic | Resource Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8990914/ https://www.ncbi.nlm.nih.gov/pubmed/35112706 http://dx.doi.org/10.1242/dmm.049257 |
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