High Dimensional Genome Data Analysis –An overview

High Dimensional Genome Data Analysis –An overview (contd.)

Overview on R and R-Studio (Basics commands & Data handling)

Practical on Transcriptomics Data analysis

Machine learning techniques (SVM, ANN, RF and Clustering)

Machine learning techniques (SVM, ANN, RF and Clustering) contd.

Genome Wide Association Study (GWAS)

Application of Bioinformatics in Nematology

Genetic Analyses Of Quantitative Traits: Challenges And Caveats

Plant Phenomics

Plant Phenomics contd.