Molecular Subtyping Resource: a user-friendly tool for rapid biological discovery from transcriptional data

Disease Models & Mechanisms

Owen J. Sansom¹  Kathryn Gilroy¹  Tamsin R. M. Lannagan¹  Andrew S. D. Campbell¹  James Jackson²  Tim Maughan³  Raheleh Amirkhah⁴  Simon S. McDade⁴  Baharak Ahmaderaghi⁴  Philip D. Dunne⁴  Sudhir B. Malla⁴  Mark Lawler⁴  Keara L. Redmond⁴  Gerard Quinn⁴  Simon Leedham⁵  ACRCelerate Consortium⁶ 

[1] Cancer Research UK Beatson Institute, Glasgow G61 1BD, UK;Information Services, Queen's University Belfast, Belfast BT7 1NN, UK;Oxford Institute of Radiation Oncology, University of Oxford, Oxford OX3 7DQ, UK;The Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast BT9 7AE, UK;Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK;https://www.beatson.gla.ac.uk/ACRCelerate/teams.html;

关键词: bioinformatics;    data analytics;    rna-seq;   

DOI  :  10.1242/dmm.049257

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown