
This is an introduction to the course. Students will understand the goals and structure of this course after this lecture
This is an overview of all the concepts that we will be covering in this course.
We will recap everything that we've learned in Section 2.
I will introduce the concept of precision medicine and its role in modern healthcare.
In this lecture, we will examine the the story of Matt Might and his son, Bertrand, to gain an appreciation for precision medicine and all it can do.
We will recap everything that we've learned in Section 2.
I will introduce the notion of a disease of focus and its significance to your research project.
We will take a look at some examples of good disease of focus choices and their pros and cons.
We'll examine the importance of background research and I'll present tutorials of the GDC portal and the CDC Website.
Section 3 Recap
Part 1 of 3 of the NCBI tutorial
Part 2 of 3 of the NCBI tutorial
More details on microarrays.
This lecture provides a walkthrough of the process to picking a dataset.
This lecture provides a tutorial of the GEO2R analysis tool
Section 4 Recap
Tutorial of String-db protein connection tool
Tutorial of Gene Ontology Consortium
Tutorial of KEGG Pathways
This lecture provides a walkthrough to developing conclusions from String-db, GO and KEGG analysis.
This lecture details what further directions one can take following the generation of conclusions. In addition, this lecture hopes to provide insight into the wide variety of possible further experimentation methods that currently exist
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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
Content Overview
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.