grenedalf: population genetic statistics for the next generation of pool sequencing
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2023
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| _version_ | 1866910776211537920 |
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| author | Czech, Lucas Spence, Jeffrey P. Expósito-Alonso, Moisés |
| author_facet | Czech, Lucas Spence, Jeffrey P. Expósito-Alonso, Moisés |
| contents | Pool sequencing is an efficient method for capturing genome-wide allele frequencies from multiple individuals, with broad applications such as studying adaptation in Evolve-and-Resequence experiments, monitoring of genetic diversity in wild populations, and genotype-to-phenotype mapping. Here, we present grenedalf, a command line tool written in C++ that implements common population genetic statistics such as $θ$, Tajima's D, and FST for Pool sequencing. It is orders of magnitude faster than current tools, and is focused on providing usability and scalability, while also offering a plethora of input file formats and convenience options. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2306_11622 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | grenedalf: population genetic statistics for the next generation of pool sequencing Czech, Lucas Spence, Jeffrey P. Expósito-Alonso, Moisés Populations and Evolution Genomics Pool sequencing is an efficient method for capturing genome-wide allele frequencies from multiple individuals, with broad applications such as studying adaptation in Evolve-and-Resequence experiments, monitoring of genetic diversity in wild populations, and genotype-to-phenotype mapping. Here, we present grenedalf, a command line tool written in C++ that implements common population genetic statistics such as $θ$, Tajima's D, and FST for Pool sequencing. It is orders of magnitude faster than current tools, and is focused on providing usability and scalability, while also offering a plethora of input file formats and convenience options. |
| title | grenedalf: population genetic statistics for the next generation of pool sequencing |
| topic | Populations and Evolution Genomics |
| url | https://arxiv.org/abs/2306.11622 |