Detecting selection in low-coverage high-throughput sequencing data using principal component analysis
Abstract Background Identification of selection signatures between populations is often an important part of a population genetic study. Leveraging high-throughput DNA sequencing larger sample sizes of populations with similar ancestries has become increasingly common. This has led to the need of me...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2021-09-01
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| Series: | BMC Bioinformatics |
| Online Access: | https://doi.org/10.1186/s12859-021-04375-2 |