Somatic variant calling from single-cell DNA sequencing data
Single-cell sequencing has gained popularity in recent years. Despite its numerous applications, single-cell DNA sequencing data is highly error-prone due to technical biases arising from uneven sequencing coverage, allelic dropout, and amplification error. With these artifacts, the identification o...
Main Authors: | Monica Valecha, David Posada |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-01-01
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Series: | Computational and Structural Biotechnology Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2001037022002264 |
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