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Journal article
MetaMutationalSigs: comparison of mutational signature refitting results made easy
BIOINFORMATICS, v 38(8), pp 2344-2347
12 Apr 2022
PMID: 35157026
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Motivation: The analysis of mutational signatures is becoming increasingly common in cancer genetics, with emerging implications in cancer evolution, classification, treatment decision and prognosis. Recently, several packages have been developed for mutational signature analysis, with each using different methodology and yielding significantly different results. Because of the non-trivial differences in tools' refitting results, researchers may desire to survey and compare the available tools, in order to objectively evaluate the results for their specific research question, such as which mutational signatures are prevalent in different cancer types.
Results: Due to the need for effective comparison of refitting mutational signatures, we introduce a user-friendly software that can aggregate and visually present results from different refitting packages.
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Details
- Title
- MetaMutationalSigs: comparison of mutational signature refitting results made easy
- Creators
- Palash Pandey - Drexel UniversitySanjeevani Arora - Fox Chase Cancer CenterGail L. Rosen (Corresponding Author) - Drexel University
- Publication Details
- BIOINFORMATICS, v 38(8), pp 2344-2347
- Publisher
- Oxford University Press
- Number of pages
- 4
- Grant note
- CEP award from the Yale Head and Neck Cancer NIH SPORE 1936791; 1919691 / NSF; National Science Foundation (NSF) Fox Chase Cancer Center Risk Assessment Program Funds W81XWH-18-1-0148 / DOD; United States Department of Defense
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000767431400001
- Scopus ID
- 2-s2.0-85128763389
- Other Identifier
- 991019168864804721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Biochemical Research Methods
- Biotechnology & Applied Microbiology
- Computer Science, Interdisciplinary Applications
- Mathematical & Computational Biology
- Statistics & Probability