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Course
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R Programming
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Duration
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Online - 15 Days Training [ 2 Hours Daily [ Monday To Friday ] ]
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Slots
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Our working Time is 9:00 AM to 6:00 PM Indian Time
Available slots - 9:00 AM to 11:00 AM / 11:00 AM to 1:00 PM / 2:00 PM to 4:00 PM
/ 4:00 PM to 6:00 PM
For training slots after 6 PM or before 9 am as well as
weekends training kindly mention during registration accordingly it will be
scheduled.
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Mode
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👉 For online training candidate have to install ZOOM (with remote control on
candidate system which makes 100% interactive)
👉 Run time video recording candidate can make as well as pdf manual will be
provided for future reference.
👉 All our training is 100% practical and 100% industrial and 100% interactive
which provides same
as offline learning.
👉 For doubt clear there will be extra support will be provided based on the
requirement.
👉 Certificate will be provided
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| Training Fees |
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Support
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Candidate can also discuss and possible implementation with their own genomic
data.
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Module-1
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R-Programming Understanding
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Topics
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📘 Introduction to R
- What is R? Overview and use cases
- Key features of R for scientific computing
- Interactive mode vs scripting mode
- Writing your first program: Hello, World!
📘 Data Types and R Objects
- Basic data types: numeric, character, logical, complex
- Understanding R objects:
• Vectors
• Lists
• Matrices
• Arrays
• Data frames
• Factors
📘 Control Structures in R
- Conditional statements (if, if...else)
- Looping constructs:
• while loops
• for loops
- Use cases in data processing
- Nested loops and logic integration
📘 Functions and Scripting
- Built-in R functions
- Writing and using custom functions
- Integrating multiple R scripts into a workflow
- Best practices in script organization
📘 File Handling in R
- Reading and writing text files
- Importing data from:
• .csv, .tsv, .txt files
• Excel files (.xlsx)
- Exporting results and logs
- Deleting or modifying files from within R
📘 Working with Genomic Data
- Reading and handling data from genomic pipelines
- Parsing and processing FASTA/FASTQ tables, counts, metadata
- Data cleaning and transformation
- Custom script building for bioinformatics workflows
📘 Data Manipulation and Representation
- Subsetting, sorting, filtering
- Calculations and summary statistics
- Creating basic visualizations (plot, barplot, hist)
- Custom reports and script automation
📘 R Packages
- What are R packages and why they matter
- Installing and loading packages (tidyverse, readxl, Bioconductor)
- Overview of packages useful in bioinformatics
- Keeping packages up to date
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Module-2
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Bioconductor for Genomic Data Analysis
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Topics
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📘 Bioconductor Overview
- Introduction to Bioconductor
- Installing Bioconductor packages
📘 Sequence Analysis with Bioconductor
- Basics of seqinr package
- Importing and exporting FASTA sequences
- Reverse complement
- Calculating GC content
📘 Statistical Analysis in R
- z-test
- t-test
- Chi-square test
- ANOVA
📘 Generating Advanced Plots
- Box plot
- PCA plot
- PCA biplots
- Heatmap
- Volcano plot
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Preparation
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- R and Bioconductor: www.bioconductor.org/install
- R Studio: https://www.rstudio.com/products/rstudio/download3/
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Instructor
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Industry Experienced
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Target Audiance
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This course is designed for graduate students, postdoctoral researchers, and
professionals working in the fields of conservation biology, evolutionary
genomics, and population genetics or any life sciences who are interested in
applying genomic tools to real-world conservation challenges.
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Contact
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Please write us at
info@arraygen.com or call
or whatsapp us on mobile +91-9673625446 if you need any clarification or for any custom training based on candidate reference paper
or candidate own content/tools.
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