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Molecular Subtyping Resource: a user-friendly tool for rapid biological discovery from transcriptional data
- Source :
- Disease Models & Mechanisms, Vol 15, Iss 3 (2022)
- Publication Year :
- 2022
- Publisher :
- The Company of Biologists, 2022.
-
Abstract
- 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.
- Subjects :
- bioinformatics
data analytics
rna-seq
Medicine
Pathology
RB1-214
Subjects
Details
- Language :
- English
- ISSN :
- 17548403 and 17548411
- Volume :
- 15
- Issue :
- 3
- Database :
- Directory of Open Access Journals
- Journal :
- Disease Models & Mechanisms
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.f0348220b314b64a6a61c4ef7c86992
- Document Type :
- article
- Full Text :
- https://doi.org/10.1242/dmm.049257