Plant Genetics Data Analysis with R - Baku
A Practical Guide for Breeders
1 Welcome to the Plant Genetics Data Analysis Course
Target Audience: Breeders in Baku, Azerbaijan with minimal prior data analysis or programming experience. Collaboration with ICARDA.
Goal: To provide a practical and understandable introduction to analyzing common breeding and genomic data types using the R programming language.
This course covers fundamental concepts in genetics and statistics relevant to breeding programs, alongside hands-on R coding sessions. We aim to build your confidence in handling your own data and interpreting results.
Please use the navigation menu (Table of Contents) to move through the course modules.
Let’s begin!
2 Meet Your Instructors & the ICARDA Bioinformatics Unit
The ICARDA Bioinformatics Unit is at the forefront of applying cutting-edge computational biology to address agricultural challenges in dry areas. Our multidisciplinary team specializes in genomics, data science, AI, and high-performance computing to empower your data analysis journey.
| Photo | Name | Details |
|---|---|---|
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Tamara Ortiz | Bioinformatician, started February 2024 MS in Bioinformatics, NYU Tandon School of Engineering (Currently enrolled) BE in Bioengineering, UTEC – Universidad de Ingeniería y Tecnología |
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Khaled Al-Sham’aa | Research Database Manager and Senior Biometrics Analyst B.S.c in Computer Engineering, Aleppo University Certificates from Johns Hopkins University & Oxford |
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Zakaria Kehel | Research Team Leader – Genetic Resources (GRS) & Morocco Interim Country Manager Genetic Innovation Ph.D. from the School of Agricultural and Forestry Engineering at the University of Córdoba in Spain |