Accelerating crop improvement relies, in part, on a plant breeder’s ability to predict a phenotype based upon reliable genotyping data, which can be complicated by subgenomes in polyploids, making interpretation difficult.
Next generation sequencing (NGS) can help researchers unravel and understand complex genomes by facilitating marker development. Identification of single nucleotide polymorphisms (SNPs) in polyploids requires distinguishing homologous SNPs from allelic SNPs. What can researchers do to ensure high quality data to improve genomic interpretation? Our experienced team of genotyping scientists have compiled 5 actionable tips for improving NGS genotyping data reliability for plants, including how to reduce ascertainment bias, the benefits of increasing accuracy with high depth coverage and being critical of data.
Get your free copy of this e-book and improve your NGS genotyping outcomes today.
