Conducting Introductory Computational Biology Research

Course Overview

Skills and Knowledge:
By completing this course, students will acquire the skills and knowledge to investigate a disease from a computational biology point of view. This includes understanding the philosophy behind precision medicine, selecting an appropriate disease of focus, utilizing NCBI and GEO2R, understanding the Gene Ontology Consortium and KEGG Pathways, and developing research conclusions. Additionally, students will gain access to valuable tutorials and lectures that will help them become comfortable in the field of Computational Biology.
Professional Growth:
This course contributes to professional growth by providing students with the knowledge and skills to investigate a disease from a computational biology point of view. Students will gain access to valuable tutorials and lectures that will grant them the necessary approach to solving complex biomedical issues. They will learn about precision medicine, selecting an appropriate disease of focus, NCBI and GEO2R, String-db Gene Ontology and KEGG Pathways, and developing research conclusions. Upon completion of the course, students will have the necessary skills and data to form a research project.
Further Education:
This course is suitable for preparing further education in the field of Computational Biology. It provides students with the necessary knowledge and skills to develop a research project, as well as an understanding of the philosophy behind precision medicine. Additionally, the course covers major computational biology analysis tools such as GEO2R, Strong-db, the Gene Ontology Consortium, and KEGG Pathways. With this knowledge, students will be well-prepared to pursue further education in the field.