Improving Imputation Quality in BEAGLE for Crop and Livestock Data
Imputation is one of the key steps in the preprocessing and quality control protocol of any genetic study. Most imputation algorithms were originally developed for the use in human genetics and thus are optimized for a high level of genetic diversity. Different versions of BEAGLE were evaluated on g...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Oxford University Press
2020-01-01
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| Series: | G3: Genes, Genomes, Genetics |
| Subjects: | |
| Online Access: | http://g3journal.org/lookup/doi/10.1534/g3.119.400798 |