Conducting Introductory Computational Biology Research
- Basic biology knowledge (i.e. first-year high school biology) is recommended but not required
Learn about Computational Biology and how YOU can create an introductory research project!
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Precision Medicine Approach
Selecting an Appropriate Disease of Focus
NCBI and GEO2R
String-db, Gene Ontology and KEGG Pathways
Developing Research Conclusions
Suitable for anyone with basic biology knowledge, this course will take you through the world of computational biology and how computers and genomics have the power to change the face of medicine.
Starting with the philosophy behind precision medicine, this course will help you embrace the way that computational biologists think and operate, providing you with necessary approach to solving complex biomedical issues
With these basics mastered, the course will take you through selecting a disease of study that will both give you the motivation to see your project come to fruition and yield results. With your disease of focus in hand, this course will then guide you through some major computational biology analysis tools such as GEO2R, Strong-db, the Gene Ontology Consortium and KEGG Pathways, in order to develop sound research conclusions
Students completing the course will have the knowledge to investigate a disease from a computational biology point of view and will possess the necessary skills and data to form a research project.
Who this course is for:
- Motivated individuals who are looking for ways to answer biomedical research questions using available technology at no added cost.
Saaim Khan is a student at Harvard University. He is deeply passionate about spreading research education to the public and has received international recognition for his research. Building on his extensive computational biology teaching experience, he has consolidated courses that will not only help you learn conceptual basics but also empower you with the tools to complete research projects of your own.