Revana: a comprehensive tool for regulatory variant analysis and visualization of cancer genomes

MOTIVATION: As non-coding driver mutations move more into the focus of cancer research, a comprehensive and easy-to-use software solution for regulatory variant analysis and data visualization is highly relevant. The interpretation of regulatory variants in large tumor genome cohorts requires specia...

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Detalles Bibliográficos
Autores principales: Ulrich, Elias, Pfister, Stefan M, Jäger, Natalie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9822537/
https://www.ncbi.nlm.nih.gov/pubmed/36576005
http://dx.doi.org/10.1093/bioinformatics/btac831

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9822537/
https://www.ncbi.nlm.nih.gov/pubmed/36576005
http://dx.doi.org/10.1093/bioinformatics/btac831

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