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Biology for non-biologists
Fill the gap between the bioinformatic experimental hypotheses and data science
14
Total sessions
30+
Total Hours
10
Students
4
Projects
Overview
This course bridges the gap between experimental biological hypotheses and data science, providing participants with a comprehensive foundation in biological concepts essential for bioinformatics. It is designed to help computer scientists and bioinformaticians build a solid understanding of life sciences and their practical applications in data-driven research.
After completing this workshop, you will be able to:
- Understand the fundamental characteristics of living organisms.
- Grasp the basics of biological classification and molecular biology.
- Comprehend the central dogma of life and its implications.
- Explore the regulatory mechanisms of metabolic processes.
- Familiarize themselves with essential medical terminology.
- Gain insights into modern genetics, including non-coding RNA, epigenetics, and bacterial and fungal genetics.
Content
- Session 1: Introduction to living organisms, classification, and cellular structures.
- Session 2: Biological Molecules I: Carbohydrates, Lipids, and Proteins.
- Session 3: Biological Molecules II: DNA.
- Session 4:
- Project 1: Friendly MCQ competition (15% of grade).
- Central Dogma of life.
- Session 5: Modes of Inheritance I.
- Session 6: Modes of Inheritance II.
- Session 7:
- Project 2: Essay assignment (30% of grade).
- Introduction to Non-coding RNA I.
- Session 8: Non-coding RNA II.
- Session 9: Epigenetic modifications.
- Session 10:
- Project 3: Friendly MCQ competition.
- Post-translational modifications.
- Session 11: Bacterial Genetics.
- Session 12: Fungal Genetics.
- Session 13: Overview of sequencing technologies.
- Session 14:
- Graduation Project: Presentation (40% of grade).
This workshop is ideal for:
- Computer Scientists: Professionals or students with no prior biology knowledge who want to excel in bioinformatics.
- Bioinformaticians: Individuals aiming to deepen their biological understanding to enhance their data analysis skills.
- Sessions are recorded, so you can revisit the content anytime.
- Interactive Q&A after each session ensures personalized support.
- Flexible timing to accommodate participants from different time zones