![]() ![]() In addition to the industry standard GATK Best Practices workflow for germline short variant discovery, GATK4 offers Best Practices workflows for somatic short variants, somatic and germline copy number variants, and structural variation discovery tools are in active development. GATK4 includes Best Practices workflows for all major classes of variants for genomic analysis in gene panels, exomes and whole genomes. That's why GATK comes with complete reads-to-results Best Practices workflow recommendations, battle-tested in production at the Broad Institute and optimized to produce the most accurate results with the most computational efficiency. When a species has a lot of differences in its DNA, we say that genetic diversity is high. We believe working with the sequencing data should be treated in the same thorough manner. Every task is a step in a well-documented protocol, carefully developed to optimize yield, purity and to ensure reproducibility as well as consistency across all samples and experiments. When you're isolating DNA in the lab, you don't treat the work like isolated, disconnected tasks. Additive genetic variance involves the inheritance of a particular allele from your parent and this allele's independent effect on the specific phenotype, which will cause the phenotype deviation from the mean phenotype. The industry-standard GATK Best Practices Genetic variance has three major components: the additive genetic variance, dominance variance, and epistatic variance. ![]()
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