R Programming for Biologists
“Empowering Biologists with Data-Driven Insights through R Programming”
Virtual (Google Meet)
Mentor Based
Beginners
3 Days (1.5 hours per day)
15 – Nov – 24
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.
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
-
Data Structures in R- vectors, matrix, lists and Dataframes
-
Using and Manipulating Basic R Data Types.
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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:
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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
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
List of Currencies
Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Future Career Prospects
- Bioinformatics Analyst
- Computational Biologist
- Genomics Data Scientist
- Environmental Data Analyst
- Clinical Data Analyst
- Research Scientist in biological modeling
Job Opportunities
- Biotech companies
- Research labs and universities
- Healthcare and pharmaceutical industries
- Environmental agencies and organizations
- Academic research institutions
- Genomic data centers
Country
Profession
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