R Programming for Biologists

“Empowering Biologists with Data-Driven Insights through R Programming”

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MODE
Virtual (Google Meet)

TYPE
Mentor Based

LEVEL
Beginners

DURATION
3 Days (1.5 hours per day)

Start Date
15 – Nov – 24

Time
3:00 PM IST

About

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.

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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:

Introduction to R studio
Data Structures in R- vectors, matrix, lists and Dataframes
Using and Manipulating Basic R Data Types.
Control flow- if else, loops, apply

Day 2:

Installing R libraries for data analysis
Basic statistical analysis with R
Correlation, Regression analysis
Concepts of R tidyverse

Day 3:

Data Visualization with ggplot2
DNA and Protein sequence analysis with seqinr
Basics of Bioconductor package

Requirement: OS with latest version of R and R studio installed

Participant’s Eligibility

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

2024-11-15
Indian Standard Timing 2:00 PM

Workshop Dates

2024-11-15 to 2024-11-17
Indian Standard Timing 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

Mentor Profile

Name: DR. SUBARNA THAKUR
Designation: Assistant Professor
Affiliation: Department of Bioinformatics, University of North Bengal

Dr. Subarna Thakur is an Assistant Professor in the Department of Bioinformatics at the University of North Bengal. She received his/her Ph.D. Degree in Botany from the University of North Bengal in 2014 and then worked as a Post Doc in various institutes like JNU, Bose Institute and IRHS, Angers, France for 4 Years. She is having more than 10 Years of Experience in the field of Computational Biology and Genomics. Her Area of Expertise includes NGS Data analysis, Transcriptomics, Network Biology. She is the author of 10 original research articles in high-impact peer-reviewed journals.

Fee Structure

Student

INR. 1399
USD. 50

Ph.D. Scholar / Researcher

INR. 1699
USD. 55

Academician / Faculty

INR. 2199
USD. 60

Industry Professional

INR. 2699
USD. 85

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