Ontology highlight
ABSTRACT:
SUBMITTER: Luquette LJ
PROVIDER: S-EPMC6715686 | biostudies-literature | 2019 Aug
REPOSITORIES: biostudies-literature
Luquette Lovelace J LJ Bohrson Craig L CL Sherman Max A MA Park Peter J PJ
Nature communications 20190829 1
Recent advances in single cell technology have enabled dissection of cellular heterogeneity in great detail. However, analysis of single cell DNA sequencing data remains challenging due to bias and artifacts that arise during DNA extraction and whole-genome amplification, including allelic imbalance and dropout. Here, we present a framework for statistical estimation of allele-specific amplification imbalance at any given position in single cell whole-genome sequencing data by utilizing the alle ...[more]