BioInformatics Series - Session 1
BioInformatics Series - Session 1
π Welcome to the Bioinformatics Series! π§¬π»
Hey future bio-coders! π Get ready to explore how biology meets technology in an exciting, hands-on way! π§π¬β¨
Ever wondered how scientists decode DNA π§¬, track viruses π¦ , or develop new medicines π? They use code! By the end of this course, you’ll be writing Python programs to analyze genetic data—no prior coding experience needed! ππ‘
What to Expect?
This 4-part series is designed for beginners! In Session 1, you’ll dive into Python basics and bioinformatics by:
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Reading DNA sequences from a file π
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Counting nucleotides (A, T, C, G) π’
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Converting DNA to RNA π―
By the end, you’ll have your first bioinformatics script running!
π’ Presented by IEEE Student Branch ULFS2 and led by Elie Dina, PhD student in AI & Data Science.
π
Date: Tuesday, April 8, 2025
β° Time: 7:30 PM (1h30)
π Online via Google Meet
Join us and code your way into bioinformatics! π
#IEEEULFS2
Date and Time
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Registration
- Date: 08 Apr 2025
- Time: 04:30 PM UTC to 06:00 PM UTC
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Speakers
Mr Elie Dina
BioInformatics Series - Session 1
Biography:
Mr. Elie Dina is a seasoned professional in the realm of data science and machine learning, boasting a rich experience spanning over two years. His expertise encompasses a wide array of skills and accomplishments, including the adept utilization of statistical methodologies and machine learning techniques to dissect and model datasets of varying sizes, from modest to extensive scales. He has successfully navigated the intricacies of deploying machine learning models within production environments, demonstrating a keen proficiency in implementing these solutions effectively.
With a versatile background, Mr. Dina has ventured into diverse industries, leaving an indelible mark in sectors such as environmental studies and e-commerce. His toolset includes mastery in programming languages like Python and R, coupled with a deep understanding of pivotal machine learning libraries and frameworks such as scikit-learn, TensorFlow, and Keras. Beyond technical prowess, Mr. Dina excels in communication, effortlessly conveying complex technical concepts to non-technical stakeholders and delivering data-driven insights with precision to decision-makers.
Email:
Address:France
Agenda
In the first session, we’ll start with the absolute basics of Python π—no complicated stuff, just the essentials to get you started. Then, we’ll jump right into bioinformatics by working with real DNA sequences! 𧬠You’ll learn how to:
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Read DNA sequences from a file π
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Count how many times A, T, C, and G appear π’
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Convert DNA to RNA in just a few lines of code π―