Genotype Calling from Population-Genomic Sequencing Data
Genotype calling plays important roles in population-genomic studies, which have been greatly accelerated by sequencing technologies. To take full advantage of the resultant information, we have developed maximum-likelihood (ML) methods for calling genotypes from high-throughput sequencing data. As...
Main Authors: | Takahiro Maruki, Michael Lynch |
---|---|
Format: | Article |
Language: | English |
Published: |
Oxford University Press
2017-05-01
|
Series: | G3: Genes, Genomes, Genetics |
Subjects: | |
Online Access: | http://g3journal.org/lookup/doi/10.1534/g3.117.039008 |
Similar Items
-
polyRAD: Genotype Calling with Uncertainty from Sequencing Data in Polyploids and Diploids
by: Lindsay V. Clark, et al.
Published: (2019-03-01) -
FitTetra 2.0 – improved genotype calling for tetraploids with multiple population and parental data support
by: Konrad Zych, et al.
Published: (2019-03-01) -
InDelGT: An integrated pipeline for extracting indel genotypes for genetic mapping in a hybrid population using next‐generation sequencing data
by: Zhiliang Pan, et al.
Published: (2022-11-01) -
Population genomics of American mink using genotype data
by: Guoyu Hu, et al.
Published: (2023-05-01) -
Corrigendum: Population genomics of American mink using genotype data
by: Guoyu Hu, et al.
Published: (2023-05-01)