امروزه زبان برنامهنویسی R در دنیای بیوانفورماتیک یکی از اساسیترین مواردی هست که متخصصین بیوانفورماتیک در هر زمینهای که فعالیت میکنند باید از نحوه استفاده از آن آگاه باشند. در این دوره رایگان قصد داریم تا با مبانی مقدماتی R در فضای Rstudio آشنا بشویم.
Course Description:
This introductory course provides a fundamental understanding of how R, a versatile and powerful programming language, is applied in the field of Bioinformatics. R is widely used for data analysis, visualization, and statistical modeling, making it an essential tool for researchers and professionals in the life sciences.
Course Highlights:
- R Basics: Begin with the essentials of R programming, including installation, data types, variables, and basic operations. Learn how to navigate the R environment.
- Data Import and Manipulation: Explore techniques for importing various biological data formats, such as FASTA, FASTQ, and VCF files. Learn how to clean, preprocess, and manipulate biological data efficiently.
- Data Visualization: Master the art of creating informative and publication-ready visualizations using R’s ggplot2 package. Visualize biological data, such as genomic features, gene expression, and phylogenetic trees.
- Statistical Analysis: Dive into statistical analysis with R. Understand hypothesis testing, regression analysis, and clustering methods commonly used in Bioinformatics.
- Bioconductor: Discover Bioconductor, a collection of R packages specifically designed for the analysis and interpretation of biological data. Explore packages for genomics, transcriptomics, and proteomics.
Please note that additional highlights may be incorporated into the course content in the future to enhance your learning experience.
Who Should Attend:
This course is suitable for biologists, geneticists, researchers, and anyone interested in harnessing the power of R for analyzing and interpreting biological data. No prior programming experience is required, as the course starts with the basics and gradually builds skills in both R programming and Bioinformatics.
By the end of this course, participants will have a strong foundation in R programming for Bioinformatics and will be equipped to tackle a wide range of biological data analysis tasks in their research or professional work.
