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Statistical Analysis in Bioinformatics

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University System of Maryland

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English

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Overview

Learn basic R programming to analyze biological big data to locate genes, perform simulations, and gauge the effect of specific markers.

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free

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Type: Online

This course includes

  • 8 Weeks
  • Instructor-led on a course schedule
  • Add a Verified Certificate for $249
  • 8–10 hours per week

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Statistical Analysis in Bioinformatics

Created by -

University System of Maryland

0.00

(0 ratings)

English

Wishlist

Overview

Learn basic R programming to analyze biological big data to locate genes, perform simulations, and gauge the effect of specific markers.

course image

Skillqore is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

free

provider image

Type: Online

This course includes

  • 8 Weeks
  • Instructor-led on a course schedule
  • Add a Verified Certificate for $249
  • 8–10 hours per week

Taken this course?

Share your experience with other students

Share

Add Review

Statistical Analysis in Bioinformatics

Created by -

University System of Maryland

0.00

(0 ratings)

Expert

Start Date: December 1st 2020

Course Description

Improvements in modern biology have led to a rapid increase in sensitivity and measurability in experiments and have reached the point where it is often impossible for a scientist alone to sort through the large volume of data that is collected from just one experiment.

For example, individual data points collected from one gene expression study can easily number in the hundreds of thousands. These types of data sets are often referred to as ‘biological big data’ and require bioinformaticians to use statistical tools to gain meaningful information from them.

In this course, part of the Bioinformatics MicroMasters program, you will learn about the R language and environment and how to use it to perform statistical analyses on biological big datasets.

This course is part of the Bioinformatics MicroMaster’s program from UMGC. Upon completion of the program and receipt of the verified MicroMaster’s certificate, learners may then transition into the full UMGC Master’s Program in Biotechnology with a specialization in Bioinformatics without any application process or testing. See the MicroMasters program page for more.

What you'll learn

  • Basic R Programming
  • Applying packages in the R environment to determine changes in gene expression
  • Applying packages in the R environment to locate genes in a full genomic sequence

Course Structure

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Mark Complete


About the Instructor

James Coker,University System of Maryland

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