Statistical Analysis in Bioinformatics

MOOC
Statistical Analysis in Bioinformatics
Language
English
Duration
1 month
Certificate
Certification paid
Course by EdX
Statistical Analysis in Bioinformatics
What will you 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
About the course

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.

Program
Statistical Analysis in Bioinformatics
Learn basic R programming to analyze biological big data to locate genes, perform simulations, and gauge the effect of specific markers.
Statistical Analysis in Bioinformatics
Learn basic R programming to analyze biological big data to locate genes, perform simulations, and gauge the effect of specific markers.
Lecturers
James Coker
James Coker
Associate Professor and Program Chair, Bioinformatics and Biotechnology Regulatory Affairs Specializations University of Maryland Global Campus
Platform
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