Mutational signatures of colorectal cancers according to distinct computational workflows

Abstract Tumor mutational signatures have gained prominence in cancer research, yet the lack of standardized methods hinders reproducibility and robustness. Leveraging colorectal cancer (CRC) as a model, we explored the influence of computational parameters on mutational signature analyses across 23...

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Veröffentlicht in:	Briefings in bioinformatics Jg. 25; H. 4
Hauptverfasser:	Battuello, Paolo, Corti, Giorgio, Bartolini, Alice, Lorenzato, Annalisa, Sogari, Alberto, Russo, Mariangela, Di Nicolantonio, Federica, Bardelli, Alberto, Crisafulli, Giovanni
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Oxford University Press 23.05.2024 Oxford Publishing Limited (England)
Schlagworte:	Algorithms Cancer Cell Line, Tumor Colorectal cancer Colorectal carcinoma Colorectal Neoplasms - genetics Colorectal Neoplasms - pathology Computational Biology - methods Computer applications Datasets Endometrial cancer Exome Sequencing - methods Female Gene sequencing Genomic analysis Humans Impact analysis Lung cancer Mismatch repair Mutation Organoids Precision medicine Signature analysis Signatures Software Statistical analysis Uterine cancer Whole genome sequencing Workflow computational biology precision oncology colorectal cancer benchmarking mutational signatures bioinformatics genomics
ISSN:	1467-5463, 1477-4054, 1477-4054
Online-Zugang:	Volltext
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