Course Desscription
Course Description: This comprehensive course is designed for individuals interested in the intersection of biology and data science. Bioinformatics is revolutionizing the way we understand and analyze biological data, especially in genomics, proteomics, and systems biology. Through this course, learners will acquire the fundamental skills needed to analyze biological data using computational tools and techniques. Topics covered include sequence alignment, gene expression analysis, molecular data visualization, and the basics of computational biology algorithms. With a hands-on approach, students will gain practical experience using bioinformatics tools and programming languages such as Python and R. By the end of the course, participants will be equipped to work with large biological datasets and make informed decisions about how to extract valuable insights from them.
Learning Objectives
- Understand the basic principles of bioinformatics and its applications in modern biological research.
- Learn how to perform sequence alignment and analysis using bioinformatics tools.
- Develop the ability to analyze gene expression data and understand its biological significance.
- Gain proficiency in using programming languages (Python and R) for bioinformatics tasks.
- Understand the structure and function of biological databases and how to query them effectively.
- Explore data visualization techniques to interpret and present biological data.
Apply bioinformatics algorithms to solve real-world problems in genomics and related fields.
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