Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Conducting Introductory Computational Biology Research
Rating: 4.4 out of 5(283 ratings)
6,196 students
Created bySaaim Khan
Last updated 7/2020
English

What you'll learn

  • How to investigate biological problems using free web-based computational analysis tools
  • Develop and conduct an introductory research project on a disease of your choice

Course content

6 sections24 lectures2h 6m total length
  • Introduction3:43

    This is an introduction to the course. Students will understand the goals and structure of this course after this lecture

  • Course Outline0:29

    This is an overview of all the concepts that we will be covering in this course.

  • Section 1 Recap1:57

    We will recap everything that we've learned in Section 2.

Requirements

  • Basic biology knowledge (i.e. first-year high school biology) is recommended but not required

Description

Learn about Computational Biology and how YOU can create an introductory research project!

Get access to valuable tutorials and lectures that will grant you the knowledge to become comfortable in the field of Computational Biology for FREE!

  • 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.

Who this course is for:

  • Motivated individuals who are looking for ways to answer biomedical research questions using available technology at no added cost.