PhredEM: a phred‐score‐informed genotype‐calling approach for next‐generation sequencing studies
Sign Up to like & getrecommendations! Published in 2017 at "Genetic Epidemiology"
DOI: 10.1002/gepi.22048
Abstract: A fundamental challenge in analyzing next‐generation sequencing (NGS) data is to determine an individual's genotype accurately, as the accuracy of the inferred genotype is essential to downstream analyses. Correctly estimating the base‐calling error rate is… read more here.
Keywords: genotype; genotype calling; next generation; phredem ... See more keywords
A fully automated pipeline for quantitative genotype calling from next generation sequencing data in autopolyploids
Sign Up to like & getrecommendations! Published in 2018 at "BMC Bioinformatics"
DOI: 10.1186/s12859-018-2433-6
Abstract: BackgroundGenotyping-by-sequencing (GBS) has been used broadly in genetic studies for several species, especially those with agricultural importance. However, its use is still limited in autopolyploid species because genotype calling software generally fails to properly distinguish… read more here.
Keywords: genotype calling; automated pipeline; fully automated; quantitative genotype ... See more keywords
FitTetra 2.0 – improved genotype calling for tetraploids with multiple population and parental data support
Sign Up to like & getrecommendations! Published in 2019 at "BMC Bioinformatics"
DOI: 10.1186/s12859-019-2703-y
Abstract: BackgroundGenetic studies in tetraploids are lagging behind in comparison with studies of diploids as the complex genetics of tetraploids require much more elaborated computational methodologies. Recent advancements in development of molecular techniques and computational tools… read more here.
Keywords: parental data; tetraploids multiple; calling tetraploids; fittetra improved ... See more keywords