Somatic Single-Nucleotide Variant Calling from Single-Cell DNA Sequencing Data Using SCAN-SNV

0Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

SCAN-SNV is a recent computational tool for somatic single-nucleotide variant (SNV) identification from the single-cell DNA sequencing data. The workflow of the SCAN-SNV package is as follows. First, candidate somatic SNVs and credible heterozygous single-nucleotide polymorphisms (hSNP) are obtained by analyzing single-cell and matched bulk sequencing data, respectively. Subsequently, SCAN-SNV estimates genome-wide allele-specific amplification balance (AB) at any position of DNA sequencing data using a probabilistic spatial statistical model. Finally, candidate somatic SNVs that are likely artifacts according to the AB predictions are further removed to obtain putative mutations. This chapter provides a step-by-step practical guide of the package by explaining how to install and use the variance caller in a real-world example.

Cite

CITATION STYLE

APA

Bahonar, S., & Montazeri, H. (2022). Somatic Single-Nucleotide Variant Calling from Single-Cell DNA Sequencing Data Using SCAN-SNV. In Methods in Molecular Biology (Vol. 2493, pp. 267–277). Humana Press Inc. https://doi.org/10.1007/978-1-0716-2293-3_17

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free