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Article

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

Oncotarget - 29 Nov 2016

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

Abstract excerpt

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 positives. OutLyzer is a new variant-caller designed for the specific and sensitive detection of mutations for research...

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Identifiers

PMID: 27825131
DOI: 10.18632/oncotarget.13103
PMCID: PMC5346729

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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