Genomic Data Analysis
Find Genetic Markers For Cannabis and Hemp Cultivars
It can be difficult to understand exactly how one cultivar is related to another at the genetic level.
Summary data generated by current sequencing providers showing broad statistics and phylogenetic relationships can be useful at first glance to get a general sense of what your data contains. However, when you look more closely, those summaries don’t provide actionable information that can be used to improve your breeding program in a meaningful way.
We’ve compared numerous genome assemblies to identify a broad collection of genes of interest including:
Our investigation isn’t limited to the above listed genes and we always consider the full dataset when conducting a data analysis procedure.
We can dive deeper into your raw data to uncover unique variants in your cultivars. This information can be used to develop phenotype correlation experiments, as well as for designing custom genotyping assays to identify phenotypes with early detection screening.
Delta Leaf has developed data mining pipelines to map quantitative trait loci using SNPs and other genetic variants by comparing multiple samples. This type of analysis can be useful to identify:
- Potential breeding pairs
- Inherited markers (e.g. parental vs. offspring similarities and differences)
- Shared markers among cultivars with true-breeding traits (e.g. pest resistance, morphology, chemotype, etc.)
Custom Genotyping Assays
Using your existing sequencing or microarray data, we can identify genetic markers for true-breeding traits and design custom genotyping assays to detect them at the seedling stage.