5 day international virtual workshop on  ” Programming in R to analyze Biological Data | 26-30 Jan 2025

We are aannoumcing our  48th  international virtual workshop on Programming in R to analyze Biological Data useful for all bioscience students, faculties and research persons. The programme is aimed to cover in-depth theory as well as provide Hands-on-Session

Date: 26th to 30th January 2025

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

Eligibility:

Students, Research scholars, Faculties from all bioscience disciplines(Botany, are eligibility to participate

Organized by:

QUAXON BIO & IT SOLUTIONS, INDIA

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 bioscientists 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.

Schedules

Date: 26th to 30th Jan 2025

Time: 7PM 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

Categoryfor IndiansFor International Participants
Students Rs. 1000/-  $25
Research Scholar/PhD Scholar Rs. 1200/-  $30
Faculty/ Other Job holders Rs.1400/-  $35

Call +919692521875  for any kind of payment issue

Payment Link for Indians:

Payment link for International Participants:

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

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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.

Contact us for any queries

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

General Term and Conditions

  • You need to provide your complete and genuine details in the Google registration form
  • In this Online Workshop, there will be a LIVE trainer who will solve queries along with training.
  • Participants should have windows system for smooth learning as the demonstration will be given on windows system only
  • Make sure you register and make payment under the right category to avoid cancellation of registration.
  • You  must need to upload your professional ID which can be your Student ID Card or Research Institute ID Card or Company ID Card.
  • The certificate will be issued as per the details which you will provide in the registration form while registering before payment.
  • You must provide your WhatsApp number to join in the meeting group to get timely update. The link to join WhatsApp group will be send to your  WhatsApp number and registered email id. It’s your responsibility to join in time.
  • The registration is NON-REFUNDABLE  but TRANSFERABLE upon request from participant with proper reason.
  • We may rescheduled the event in case of any unseen problem  which is  beyond our control, in this case we will give you detail update via email or by phone contact.
  • Quaxon Bio & IT Solutions, India reserves full  right of entry of anyone into the event., If we do not wish to give this workshop to any participant then we will refund their paid amount by cancelling his/her registration from our end.