Robust in-silico identification of Cancer Cell Lines based on RNA and targeted DNA sequencing data

Cancer cell lines (CCL) are an integral part of modern cancer research but are susceptible to misidentification. The increasing popularity of sequencing technologies motivates the in-silico identification of CCLs based on their mutational fingerprint, but care must be taken when identifying heteroge...

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Detalles Bibliográficos
Autores principales: Otto, Raik, Rössler, Jan-Niklas, Sers, Christine, Mamlouk, Soulafa, Leser, Ulf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6344579/
https://www.ncbi.nlm.nih.gov/pubmed/30674903
http://dx.doi.org/10.1038/s41598-018-36300-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6344579/
https://www.ncbi.nlm.nih.gov/pubmed/30674903
http://dx.doi.org/10.1038/s41598-018-36300-8

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