Introduction to R for bioinformatics

Course Overview

This online workshop introduces R programming for bioinformatics, equipping participants with essential skills for analyzing biological data. Designed for students, researchers, and professionals in the life sciences, the course covers fundamental R programming concepts and their applications in bioinformatics. The workshop begins with an overview of R and its significance in biological research, followed by core programming concepts such as data structures, functions, and scripting. Participants will be introduced to Bioconductor , a powerful R-based framework for analyzing genomic data, with a focus on sequence analysis. Additionally, the course covers data visualization techniques to help interpret biological datasets effectively. A hands-on session will provide guided coding exercises, including a warm-up in R, biological sequence analysis, and parsing sequence files such as FASTA and GenBank. By the end of the workshop, participants will have a solid foundation in R for bioinformatics and be able to perform essential data analysis tasks. No prior programming experience is required. Join us to explore the power of R in bioinformatics! This online workshop introduces R programming for bioinformatics, equipping participants with essential skills for analyzing biological data. Designed for students, researchers, and professionals in the life sciences, the course covers fundamental R programming concepts and their applications in bioinformatics. The workshop begins with an overview of R and its significance in biological research, followed by core programming concepts such as data structures, functions, and scripting. Participants will be introduced to Bioconductor , a powerful R-based framework for analyzing genomic data, with a focus on sequence analysis. Additionally, the course covers data visualization techniques to help interpret biological datasets effectively. A hands-on session will provide guided coding exercises, including a warm-up in R, biological sequence analysis, and parsing sequence files such as FASTA and GenBank. By the end of the workshop, participants will have a solid foundation in R for bioinformatics and be able to perform essential data analysis tasks. No prior programming experience is required. Join us to explore the power of R in bioinformatics! Introduction to R & Bioinformatics Basics of R Programming Introduction to Bioconductor & Sequence Analysis Data Analysis & Visualization in R Case Study Hands-on: R Coding Warm-Up, Biological Sequence Analysis with R, Parsing and Analyzing Sequence Files

Sub-topics

• 1.
  Introduction to R & Bioinformatics

• 2.
  Basics of R Programming

• 3.
  Introduction to Bioconductor & Sequence Analysis

• 4.
  Data Analysis & Visualization in R

• 5.
  Case Study

• 6.
  Hands-on: R Coding Warm-Up, Biological Sequence Analysis with R, Parsing and Analyzing Sequence Files

Course Components