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My research focuses on the intersection of genetics, genomics, and plant pathology, specifically emphasising plant-pathogen interactions within the Brassica napus-Leptosphaeria maculans and B. napus-Verticillium longisporum pathosystems. I employ a multidisciplinary approach, combining my expertise in plant pathology with advanced bioinformatics and computational biology techniques. One of my work's key aspects involves identifying and diagnosing fungal pathogens affecting plant materials in field and laboratory settings. By leveraging my extensive plant pathology knowledge and cutting-edge molecular techniques, I contribute to developing, analysing, and visualising genomic data related to these plant-pathogen interactions. This profile provides Basic to Pro Python, R and SAS codes with plant genetics, genomics and agricultural-based examples and Statistical, Artificial Intelligence and Machine Learning programming.

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dna-methylation-analysis-using-methylkit icon dna-methylation-analysis-using-methylkit

DNA methylation is a heritable epigenetic mark involving the covalent transfer of a methyl group to the C-5 position of the cytosine ring of DNA by DNA methyltransferases

donut-plot icon donut-plot

Data that is arranged in columns or rows only on a worksheet can be plotted in a doughnut chart.

dual-genome-comparison-synteny-analysis icon dual-genome-comparison-synteny-analysis

Synteny plots show the conservation of gene order among genomes and clearly show large scale evoluationary events like genome rearrangements. Synteny describes the physical co-localization of genes on a chromosome.

elastic-net-regression icon elastic-net-regression

A regression model that combines the Ridge and Lasso regularization techniques, providing a balance between them.

enhanced-prediction-error-analysis-using-plotly.express icon enhanced-prediction-error-analysis-using-plotly.express

Add marginal histograms to quickly diagnoses any prediction bias your model might have. The built-in OLS functionality let you visualize how well your model generalizes by comparing it with the theoretical optimal fit (black dotted line).

enrichment-analysis icon enrichment-analysis

Gene set enrichment analysis (GSEA) (also called functional enrichment analysis or pathway enrichment analysis) is a method to identify classes of genes or proteins that are over-represented in a large set of genes or proteins, and may have an association with disease phenotypes.

experimental-designs icon experimental-designs

Experimental designs in agriculture play a crucial role in conducting scientific studies to evaluate the effects of different treatments or interventions on agricultural systems. Here are a few commonly used experimental designs in agriculture.

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