Menu
This course is designed for individuals interested in learning R programming for bioinformatics. The course will introduce the basics of R programming, including data types, functions, control structures, and data visualization. The course will also cover topics specific to bioinformatics, such as sequence alignment, gene expression analysis, and statistical analysis of biological data.
Dr. Sarah Collins
Intermediate
Live
English
Dr. Sarah Collins is an esteemed lecturer and expert in the field of R programming. With over a decade of experience, she has become a leading figure in teaching and promoting the use of R for data analysis, statistical modeling, and visualization. Dr. Collins is renowned for her passion for the subject and her ability to convey complex concepts in a clear and engaging manner.
This course is designed for individuals interested in learning R programming for bioinformatics. The course will introduce the basics of R programming, including data types, functions, control structures, and data visualization. The course will also cover topics specific to bioinformatics, such as sequence alignment, gene expression analysis, and statistical analysis of biological data.
R programming in bioinformatics equips researchers with the necessary skills to handle and analyze biological data effectively, perform statistical analysis, visualize results, promote reproducibility, and collaborate with others in the field. It offers a versatile and comprehensive platform for data analysis, making it an indispensable tool for bioinformaticians.
Introduction to R and RStudio
Basic data types and structures in R
Basic R functions
Control structures in R
Reading and writing data in R
Data manipulation and cleaning
Data visualization using ggplot2
Introduction to sequence alignment
Pairwise alignment and multiple sequence alignment
Sequence analysis using Biostrings package
Introduction to gene expression analysis
Preprocessing of gene expression data
Differential gene expression analysis using DESeq2
Statistical tests in R
Regression analysis in R
Principal Component Analysis (PCA) in R
Prerequisites: No prior knowledge of R programming is required, but a basic understanding of biology and statistics will be helpful.
Time – 7:00 PM IST TO 8:00 PM IST
Time – 7:00 PM IST TO 8:00 PM IST
Fees – ₹999/-
Dr. Sarah Collins is an esteemed lecturer and expert in the field of R programming. With over a decade of experience, she has become a leading figure in teaching and promoting the use of R for data analysis, statistical modeling, and visualization. Dr. Collins is renowned for her passion for the subject and her ability to convey complex concepts in a clear and engaging manner.
The link will be available the day of the class. When it’s time to log on, you can click “Join Session” right on the page of “My courses” , or from the reminder email you received.
Yes! All of our Live sessions are recorded and the encore will be published to the course page on the website after the session.The recordings will be available for 30 days only. Follow your profile to check the course!
The certificate will be provided for the course you have completed once you have cleared the assessment of the particular course. What about the change in time of session? A – If there is any change in date and time of a session the details of the batch will be sent prior to the start of the session.The details will be sent to the registered email id.
The refund policy will be based on the sessions attended. The refund will be given max within 2 sessions only. Refund policy won’t be applicable if more than 2 sessions are attended. REFUND will be available for courses with 3 or more sessions.
