دورية أكاديمية
أعرض في EDS

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

التفاصيل البيبلوغرافية
العنوان: Molecular Subtyping Resource: a user-friendly tool for rapid biological discovery from transcriptional data.
المؤلفون: Ahmaderaghi B; The Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast BT9 7AE, UK., Amirkhah R; The Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast BT9 7AE, UK., Jackson J; Information Services, Queen's University Belfast, Belfast BT7 1NN, UK., Lannagan TRM; Cancer Research UK Beatson Institute, Glasgow G61 1BD, UK., Gilroy K; Cancer Research UK Beatson Institute, Glasgow G61 1BD, UK., Malla SB; The Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast BT9 7AE, UK., Redmond KL; The Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast BT9 7AE, UK., Quinn G; The Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast BT9 7AE, UK., McDade SS; The Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast BT9 7AE, UK., ACRCelerate Consortium; https://www.beatson.gla.ac.uk/ACRCelerate/teams.html., Maughan T; Oxford Institute of Radiation Oncology, University of Oxford, Oxford OX3 7DQ, UK., Leedham S; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK., Campbell ASD; Cancer Research UK Beatson Institute, Glasgow G61 1BD, UK., Sansom OJ; Cancer Research UK Beatson Institute, Glasgow G61 1BD, UK.; Institute of Cancer Sciences, University of Glasgow, Glasgow OX3 7DQ, UK., Lawler M; The Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast BT9 7AE, UK., Dunne PD; The Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast BT9 7AE, UK.
المصدر: Disease models & mechanisms [Dis Model Mech] 2022 Mar 01; Vol. 15 (3). Date of Electronic Publication: 2022 Mar 30.
نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: Company of Biologists Ltd Country of Publication: England NLM ID: 101483332 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1754-8411 (Electronic) Linking ISSN: 17548403 NLM ISO Abbreviation: Dis Model Mech Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Cambridge : Company of Biologists Ltd., c2008-
مواضيع طبية MeSH: Gene Expression Profiling* , Software*, Algorithms ; Animals ; Computational Biology ; Humans ; Mice ; Sequence Analysis, RNA
مستخلص: 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.
Competing Interests: Competing interests M.L. has received honoraria from Pfizer, EMF Serono and Roche for presentations unrelated to this work, and received an unrestricted educational grant from Pfizer for research unrelated to this work. O.J.S. has received funding from Novartis, Astra Zeneca, Cancer Research Technology and Redex for research unrelated to this work.
(© 2022. Published by The Company of Biologists Ltd.)
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معلومات مُعتمدة: 206314/Z/17/Z United Kingdom WT_ Wellcome Trust; 21139 United Kingdom CRUK_ Cancer Research UK; 29834 United Kingdom CRUK_ Cancer Research UK; MR/M016587/1 United Kingdom MRC_ Medical Research Council
فهرسة مساهمة: Keywords: Bioinformatics; Data analytics; RNA-seq
تواريخ الأحداث: Date Created: 20220203 Date Completed: 20220401 Latest Revision: 20240210
رمز التحديث: 20240210
مُعرف محوري في PubMed: PMC8990914
DOI: 10.1242/dmm.049257
PMID: 35112706
قاعدة البيانات: MEDLINE
الوصف
تدمد:1754-8411
DOI:10.1242/dmm.049257