Introduction to R software and its application in biology

 


Organizer: 

Dr. Mohamad Bagher Bagheriyenajar

Golestan University

 

Workshop duration: 2 days: April 12-13, 2020 

Target community:

Faculty members and graduate students


Aims:  Large amounts of data produced in biological experiments, especially OMICS research, require the use of new statistical analysis software and methods. As one of the most advanced free statistical software known worldwide, The “R” programming language offers significant capabilities in experiment design and data analysis in various fields of biology, including genetics, medical science, microbiology and agriculture in a variety of packages.

This workshop will introduce the basics of R using the following packages:

  • Response Surface Analysis method for experimental design, modeling and optimization of   laboratory, semi-industrial and industrial productions such as recombinant proteins, using RSM package
  •  Analysis of Microarray, RNAseq and other related data, using “Bioconductor” Megapackage
  •  Analysis of cell and organism survival data and the effects of toxic compounds, using time to event and log logistic models, by RDC  package
  • Writing scientific books and articles using the Rmarkdown package with automatic formatting of tables, figures and references


Workshop details day 1:

8:15-8:30

Reception & Welcome

8:30-9:45

Software installation & troubleshooting, Data preparation and “R” main functions 

9:45-10:00

Coffee break

10:00-11:45

Basic functions of statistical analysis, ANOVA, Regression, comparison of means and related graphs

11:45-13:15

Lunch break

13:15- 14:45

Introduction to graphics in “R”: The ggplot2 package 

14:45- 15:00 

Coffee break

15:00- 16:30

Introduction to Bioconductor package


 


Workshop details day 2:

8:15-9:45

Introduction to the “rsm” package and Response Surface methodology 

9:45-10:00

Coffee break

10:00-11:45

Introduction to the “rdc” package and survival analysis

11:45-13:15

Lunch break

13:15- 14:45

Introduction to Rmarkdown for book and manuscript preparations

14:45- 15:00 

Coffee break

15:00- 16:30

Analyses of participants data


What participants are expected to bring: A laptop (Windows, Mac, or Linux) with R and Rstudio installed
What participants are expected to read: Course materials sent through Email before the workshop

 




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