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zenodraft/action updated the file CITATION.cff with the prereserved doi
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zenodraft/action committed Feb 11, 2024
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cff-version: 1.2.0
message: >-
If you use this software, please cite both the software itself, as well as the article Lancaster AK et al. (2024) 'PyPop: A mature open-source software pipeline for population genomics (Preprint v1). Zenodo. DOI:10.5281/zenodo.10602940 https://doi.org/10.5281/zenodo.10602940
If you use this software, please cite both the software itself, as well as the
article Lancaster AK et al. (2024) 'PyPop: A mature open-source software
pipeline for population genomics (Preprint v1). Zenodo.
DOI:10.5281/zenodo.10602940 https://doi.org/10.5281/zenodo.10602940
abstract: >-
PyPop for Population Genomics (PyPop) is a Python program for processing genotype and allele data and running population genetic analyses, including conformity to Hardy-Weinberg expectations; tests for balancing or directional selection; estimates of haplotype frequencies and measures and tests of significance for linkage disequilibrium (LD). Output of analyses are stored in XML format for maximum downstream flexibility. PyPop also has an internal facility for additionally aggregating the output XML and generating output tab-separated (TSV) files, as well as default plain text files for each population. Although it can be run on any kind of genotype data, it has additional support for analyzing population genotype with allelic nomenclature from the human leukocyte antigen (HLA) region.
PyPop for Population Genomics (PyPop) is a Python program for processing
genotype and allele data and running population genetic analyses, including
conformity to Hardy-Weinberg expectations; tests for balancing or directional
selection; estimates of haplotype frequencies and measures and tests of
significance for linkage disequilibrium (LD). Output of analyses are
stored in XML format for maximum downstream flexibility. PyPop also has an
internal facility for additionally aggregating the output XML and generating
output tab-separated (TSV) files, as well as default plain text files for each
population. Although it can be run on any kind of genotype data, it has
additional support for analyzing population genotype with allelic nomenclature
from the human leukocyte antigen (HLA) region.
authors:
- family-names: Lancaster
given-names: Alexander K.
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- MHC
license: GPL-2.0-or-later
version: v1.0.1
doi: 10.5281/zenodo.10080668
doi: 10.5281/zenodo.10648000

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