OutLyzer: software for extracting low-allele-frequency tumor mutations from sequencing background noise in clinical practice

Highlighting tumoral mutations is a key step in oncology for personalizing care. Considering the genetic heterogeneity in a tumor, software used for detecting mutations should clearly distinguish real tumor events of interest that could be predictive markers for personalized medicine from false posi...

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Enregistré dans:
Détails bibliographiques
Publié dans:Oncotarget
Auteurs principaux: Muller, Etienne, Goardon, Nicolas, Brault, Baptiste, Rousselin, Antoine, Paimparay, Germain, Legros, Angelina, Fouillet, Robin, Bruet, Olivia, Tranchant, Aurore, Domin, Florian, San, Chankannira, Quesnelle, Céline, Frebourg, Thierry, Ricou, Agathe, Krieger, Sophie, Vaur, Dominique, Castera, Laurent
Format: Artigo
Langue:Inglês
Publié: Impact Journals LLC 2016
Sujets:
Research Paper
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC5346729/
https://ncbi.nlm.nih.gov/pubmed/27825131
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18632/oncotarget.13103
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