Most of bioinformatics involves linking different processing steps into a single pipeline and then applying that pipeline to many other files repeatedly, which often involves massive and tedious data processing.

R is one of the most widely used and powerful programming languages in bioinformatics. R particularly stands out in research areas where a variety of statistical tools are required, e.g. RNA-Seq, microarray analysis, statistical testing, biological data visualization, population genomics and in the production of graphics and publication quality figures.

In this course, you will learn various concepts related to how to write your first script in R, various functions and built-in packages provided by R. Along with this, how to write built-in functions in R, work with loops and how to control the flow of your program and your script.

Joining and learning the Beginners R For Bioinformatics course can enhance your career in biological programming by learning through various useful and informative pre-recorded lectures on programming and scripting languages in bioinformatics. This course is completely hands-on and you don't need any prior knowledge or experience in the R language.

This course includes:
-Introduction to R
-Variables and functions
-Vectors and data types
-R Packages
-Analysis of biological data
-Control flow

To learn more about the Beginners R for Bioinformatics course, send us a private message, we can help you get started. BioCode provides an interactive platform to learn biological programming in Python and R, bioinformatics techniques, tools, databases and biological data analysis in a cooperative manner covering both theoretical and practical aspects of the topics of computational biology.

BioCode offers you various learning features:
-Videos on each topic as well as exercises
-Ability to learn at your own pace according to your own schedule
-Transcriptions with each video
-Powerpoint presentation on each subject
-A dedicated section to ask your tutor questions

Join the Beginners R for Bioinformatics course: https://bit.ly/3AVUsyc
Start with bioinformatics: https://bit.ly/3vR3Bpa

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