Literature DB >> 35751821

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

Sajedeh Bahonar1, Hesam Montazeri2.   

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.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Allele-specific amplification balance; Conda environment; Gaussian process; Heterozygous SNPs; SCAN-SNV; Single-cell DNA sequencing; Somatic variant calling

Mesh:

Substances:

Year:  2022        PMID: 35751821     DOI: 10.1007/978-1-0716-2293-3_17

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  8 in total

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6.  A validated single-cell-based strategy to identify diagnostic and therapeutic targets in complex diseases.

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7.  Exploring DNA quality of single cells for genome analysis with simultaneous whole-genome amplification.

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  8 in total

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