Predicting clone genotypes from tumor bulk sequencing of multiple samples
Author(s) -
Sayaka Miura,
Karen Gomez,
Oscar Murillo,
Louise A. Huuki-Myers,
Tracy Vu,
Tiffany Buturla,
Sudhir Kumar
Publication year - 2018
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bty469
Subject(s) - clone (java method) , genotype , computational biology , biology , dna sequencing , genetics , gene
Analyses of data generated from bulk sequencing of tumors have revealed extensive genomic heterogeneity within patients. Many computational methods have been developed to enable the inference of genotypes of tumor cell populations (clones) from bulk sequencing data. However, the relative and absolute accuracy of available computational methods in estimating clone counts and clone genotypes is not yet known.
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