Accurate and scalable variant calling from single cell DNA sequencing data with ProSolo
Obtaining accurate variant calls from multiple displacement amplified single cell DNA sequencing data needs dedicated models that account for amplification bias and copy errors. Here, the authors describe ProSolo, a model for calling single nucleotide variants with control over the false discovery r...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-11-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-021-26938-w |
| Summary: | Obtaining accurate variant calls from multiple displacement amplified single cell DNA sequencing data needs dedicated models that account for amplification bias and copy errors. Here, the authors describe ProSolo, a model for calling single nucleotide variants with control over the false discovery rate. |
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| ISSN: | 2041-1723 |