R Programming for Biologists
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Course Overview
Workshop Registration End Date :2024-11-15
Program Syllabus
Module 1
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.
Module 2
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.
Module 3
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.
Module 4
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
Module 5
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.
Module 6
Important Dates
Module 7
Registration Ends
2024-11-15
Indian Standard Timing 2:00 PM
Module 8
Workshop Dates
2024-11-15 to 2024-11-17
Indian Standard Timing 3:00 PM
Module 9
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
Module 10
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Mentor Profile
DR. SUBARNA THAKUR
Assistant Professor
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 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, . . .
Module 11
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of Currencies
Fee Structure
Module 12
Student
INR. 999
USD. 40
Module 13
Ph.D. Scholar / Researcher
INR. 1199
USD. 45
Module 14
Academician / Faculty
INR. 1499
USD. 50
Module 15
Industry Professional
INR. 1999
USD. 75
List of Currencies
Module 16
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Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Module 17
Future Career Prospects
- Bioinformatics Analyst
- Computational Biologist
- Genomics Data Scientist
- Environmental Data Analyst
- Clinical Data Analyst
- Research Scientist in biological modeling
Module 18
Job Opportunities
- Biotech companies
- Research labs and universities
- Healthcare and pharmaceutical industries
- Environmental agencies and organizations
- Academic research institutions
- Genomic data centers
Module 21
Enter the Hall of Fame!
Take your research to the next level!
Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.
Centre of Excellence
Join the esteemed Centre of Excellence.
Networking and Learning
Network with industry leaders, access ongoing learning opportunities.
Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).
Achieve excellence and solidify your reputation among the elite!
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Module 22
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Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
R Programming for Biologists
Professional Certification Program
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FormatLive + Recorded
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Duration8 Weeks
📜
CertificationVerified
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