5 Day International Virtual Workshop on Programming in R to Analyze Biological Data | 24 to 28 March 2025

5 Day International Virtual Workshop

on

Programming in R to Analyze Biological Data | 24 to 28 March 2025

International Workshop Series  


Quaxon Bio & IT Solutions, India is going to conduct it’s 52nd  international virtual

workshop on Programming In R to Analyze Biological Data

Date: 24th to 28th March 2025

Time: 7 PM to 9 PM IST   Platform : Google Meet 

Eligibility:

Students, Research scholars, Faculties from all bioscience disciplines (Botany, zoology, microbiology, Biotechnology  Bioinformatics, clinical research fellows and other allied fields having basic computer operations skill are eligibility to participate

Visit Website post: https://qbiits.org/r-programming-workshop-mar-25/

ABOUT THE THEME TOPIC 

R Programming in Bioscience Research
        

R programming has emerged as a cornerstone for data analysis in biosciences, offering unparalleled capabilities for statistical computing, visualization, and reproducible research. Its open-source nature and extensive library support make it a versatile tool for handling complex biological datasets, such as genomic sequences, proteomics data, and clinical trials. Whether you are conducting exploratory data analysis, building predictive models, or visualizing intricate patterns in your data, R provides a robust platform to derive meaningful insights. Learning R is not just a technical skill but an essential competency for bio science researchers in today’s data-driven world, empowering them to make informed decisions and contribute to cutting-edge research. 

About this Workshop

          This 5-day workshop on R programming is meticulously designed to cater to the needs of students, research scholars, and faculty members in biosciences. Starting from the very basics, this workshop will guide participants through the core concepts of R programming and its practical applications in biological data analysis. With hands-on sessions, real-world examples, and one-to-one guidance, attendees will learn to analyze and interpret biological datasets effectively. Whether you are new to programming or looking to enhance your data analysis skills, this workshop will equip you with the knowledge and confidence to implement R programming in your academic and research domain. 

Schedule

Date: 24th to 28th March 2025

Time: 7 PM to 9 PM as per Indian Standard Time

check the schedule in your time zone at https://savvytime.com/converter  

Complete curriculum 

Day 1: Introduction to R and Basic Programming

Objective: Familiarize participants with the basics of R and RStudio, and introduce simple programming concepts.

  • Session 1: Getting Started with R and RStudio
    • Introduction to R and RStudio.
    • Installing R and RStudio.
    • Exploring the RStudio interface.
    • Running simple commands in the R console.
  • Session 2: Basics of R Programming
    • Variables and data types: Vectors, Lists, Matrices, Data Frames.
    • Operators and basic calculations.
    • Indexing and subsetting data.
    • Hands-On: Practice manipulating datasets and writing simple calculations.
  • Session 3: Reading and Writing Data
    • Importing data with read.csv() and read.table().
    • Exporting data with write.csv().
    • Hands-On: Work with sample biological datasets (e.g., gene expression tables).

Day 2: Data Manipulation with dplyr

Objective: Introduce participants to powerful data manipulation tools using the dplyr package.

  • Session 1: Data Manipulation with dplyr
    • Key functions: filter(), select(), mutate(), arrange(), summarize().
    • Combining commands with pipes
    • Hands-On: Manipulate biological datasets (e.g., gene or protein data).
  • Session 2: Working with Data Frames and Tidy Data
    • Data wrangling: Transforming datasets for analysis.
    • Creating new variables, reshaping data.
    • Hands-On: Practice working with real-life biological datasets.

Day 3: Basic Data Visualization with ggplot2

Objective: Introduce participants to basic data visualization using ggplot2.

  • Session 1: Introduction to ggplot2
    • Structure of ggplot2: Aesthetic mappings and geoms.
    • Creating scatter plots, bar plots, and box plots.
    • Customizing visuals: Themes, labels, colors.
    • Hands-On: Create visualizations for biological datasets.
  • Session 2: Customizing Visualizations
    • Adjusting scales, adding regression lines, and faceting.
    • Working with colors and themes for publication-quality plots.
    • Hands-On: Advanced customization of ggplot2 visualizations.

Day 4: Statistical Analysis in R

Objective: Statistical analysis using R with a focus on basic tests and integrating results into visualizations.

  • Session 1: Introduction to Statistical Analysis
    • Overview of statistical workflows in R.
    • Conducting t-tests and ANOVA.
    • Hands-On: Apply t-tests and ANOVA to biological data (e.g., gene expression).
  • Session 2: Statistical Analysis with Visualization
    • Adding statistical test results to plots (e.g., p-values on boxplots).
    • Exploring correlation and linear regression in biological datasets.
    • Hands-On: Integrate statistical analysis with visualizations (boxplots, violin plots).

Day 5: Advanced Data Visualization and Heatmaps

Objective: Advanced data visualization techniques, including the creation of heatmaps and multi-panel plots.

  • Session 1: Heatmaps and Clustering
    • Creating heatmaps with pheatmap or Complex Heatmap.
    • Visualizing large datasets (e.g., expression matrices).
    • Hands-On: Create customized heatmaps for biological data.
  • Session 2: Advanced Visualization with ggplot2
    • Creating and customizing complex plots.
    • Multi-panel visualizations and interactive plots.
    • Hands-On: Develop and customize multi-panel visualizations using ggplot2. 

Steps to Participate 

Step-1: Pay the participation fee as per your category 

Participation fee category wise

Category

for Indians

For International Participants

Students

 Rs. 1000/-

  $25

Research Scholar/PhD Scholar

 Rs. 1200/-

  $30

Faculty/PDF/ Other Job holders

 Rs.1400/-

  $35

 Call +919692521875  for any kind of payment issue 

Payment Link for Indians: https://rzp.io/rzp/FZipj4P 

Payment link for International Participants: https://www.paypal.com/paypalme/Workshop334 

Step-2: Fill up the registration form in this link below(After Payment)

**Must visit main post https://qbiits.org/r-programming-workshop-mar-25/   to know the other details term and conditions. 

About us   

Quaxon Bio & IT Solutions is a fastest growing EduTech start-up established and registered to the Ministry of Micro, Small and Medium Enterprises, Government of India. Our mission is to act as an industry-academic interface, to excel in knowledge transformation and producing a highly skilled workforce equipped with next-generation technology. We are delivering high demand skills via virtual workshop on bioinformatics and data science with international participants, facilitating the exchange of cutting-edge research and ideas around the globe.

www.qbiits.org 

Contact us for any queries 

WhatsApp/Call +919692521875  or write to us support@qbiits.org

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