ISOWN: accurate somatic mutation identification in the absence of normal tissue controls.

Kalatskaya, Irina; Trinh, Quang M; Spears, Melanie; McPherson, John D; Bartlett, John M S; Stein, Lincoln

Kalatskaya, Irina; Trinh, Quang M; Spears, Melanie; McPherson, John D; Bartlett, John M S; Stein, Lincoln.

Affiliation

Kalatskaya I; Informatics and Bio-computing, Ontario Institute for Cancer Research, Toronto, Ontario, Canada. ikalats@gmail.com.
Trinh QM; Informatics and Bio-computing, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
Spears M; Transformative Pathology, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
McPherson JD; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
Bartlett JMS; Department of Biochemistry and Molecular Medicine, University of California Davis, Sacramento, California, USA.
Stein L; Transformative Pathology, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.

Genome Med ; 9(1): 59, 2017 06 29.

Article de En | MEDLINE | ID: mdl-28659176

Sujet(s)
Mots clés

Matching normal tissue; Next-generation sequencing; Somatic mutation; Variant classification

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Analyse de mutations d'ADN / Séquençage nucléotidique à haut débit / Apprentissage machine supervisé / Mutation / Tumeurs Type d'étude: Diagnostic_studies Limites: Humans Langue: En Journal: Genome Med Année: 2017 Type de document: Article Pays d'affiliation: Canada

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