This course provides an introduction to Artificial Intelligence in Bioinformatics, covering topics such as Machine Learning, Artificial Intelligence, Bioinformatics, Image Analysis and Programming. It is designed to equip students with the knowledge and skills to apply AI techniques to solve problems in the field of Bioinformatics. With this course, students will gain a comprehensive understanding of the fundamentals of AI and its applications in Bioinformatics. Click now to learn more about this exciting field and how to use AI to solve complex problems.
Computational Gene Expression Analysis with Python
4.6
Udemy5,488 learners
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This course will teach you how to analyze and quantify differences in gene expression using public datasets from the Gene Expression Omnibus. You will learn how to use tools like GEO2R, StringDB, PantherDB and more to analyze publicly available gene expression data. With this course, you will gain a detailed understanding of how gene expression analysis works, such as what is fold change, and how to use Python to analyze and visualize gene expression data. You will also get insight into how to write a paper about your project. Examples of research topics include identifying potential biomarkers for cancer, analyzing changes in gene expression when a sample is treated with a drug or under a condition, and differences in gene expression between early and late stage cancer. All you need is a computer, a Google Account (for Google Sheets + Colab) or Excel, and an internet connection. Enroll now and start your journey to becoming a gene expression analysis expert!
Genome Sequencing (Bioinformatics II)
5.0
Coursera4,436 learners
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Discover the power of genome sequencing and learn how to apply graph theory and brute force algorithms to assemble genomes and identify antibiotics. Join this course to explore the potential of personalized medicine and learn how to sequence the genome of a deadly Staphylococcus bacterium.
Finding Hidden Messages in DNA (Bioinformatics I)
4.5
Coursera5,866 learners
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Discover the power of computing in modern biology with this top 50 MOOC of all time! Join us on the frontier of bioinformatics to look for hidden messages in DNA and understand the complex language of DNA. Learn to apply randomized algorithms and existing software tools to find recurring biological motifs. Sign up now and start your journey into the world of bioinformatics!
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