R Programming for Biologists
“Empowering Biologists with Data-Driven Insights through R Programming”
About This Course
R programming has become an essential tool in biological research for data analysis, bioinformatics, and statistical computing. This 3-day workshop is designed specifically for biologists who seek to develop their coding skills and enhance their ability to analyze complex biological data. Participants will learn the fundamentals of R, focusing on practical applications in genomics, ecological modeling, and evolutionary biology.
Throughout the workshop, biologists will explore various data sets, learning how to clean, analyze, and visualize data using R packages such as ggplot2. The sessions are designed to be highly interactive, with hands-on exercises that simulate real-world biological research challenges. No prior programming experience is required, but a basic understanding of biological concepts will be beneficial.
Aim
This workshop aims to introduce biologists to the powerful capabilities of R programming for data analysis, visualization, and statistical computing in biological research. By the end of the workshop, participants will be equipped to handle biological data sets, create insightful visualizations, and implement statistical models relevant to their work.
Workshop Objectives
- Introduce fundamental concepts of R programming relevant to biological research.
- Teach participants to analyze biological data sets using R.
- Explore key R packages like ggplot2, and dplyr
- Enable participants to visualize biological data for publications and presentations.
- Apply R to bioinformatics, ecological modeling, and genomics research.
Workshop Structure
Day 1:
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Introduction to R studio
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Data Structures in R- vectors, matrix, lists and Dataframes
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Using and Manipulating Basic R Data Types.
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Control flow- if else, loops, apply
Day 2:
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Installing R libraries for data analysis
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Basic statistical analysis with R
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Correlation, Regression analysis
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Concepts of R tidyverse
Day 3:
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Data Visualization with ggplot2
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DNA and Protein sequence analysis with seqinr
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Basics of Bioconductor package
Requirement: OS with latest version of R and R studio installed
Who Should Enrol?
- Undergraduate or postgraduate degree in Biology, Biotechnology, Environmental Science, or related fields.
- Researchers and professionals working in biological sciences.
- Individuals with a keen interest in bioinformatics and data analysis for biological applications.
Important Dates
Registration Ends
11/15/2024
IST 2:00 PM
Workshop Dates
11/15/2024 – 11/17/2024
IST 3:00 PM
Workshop Outcomes
- Competence in using R for biological data analysis
- Ability to create complex visualizations with biological data
- Enhanced knowledge in bioinformatics using R
- Practical experience in coding with R for biological applications
- Proficiency in using R packages like ggplot2
Fee Structure
Student
₹999 | $40
Ph.D. Scholar / Researcher
₹1199 | $45
Academician / Faculty
₹1499 | $50
Industry Professional
₹1999 | $75
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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