About This Course
Fundamental Bioinformatician Course in R Allows You To Develop The Basic Bioinformatician & Programming Skills in R
Being a Bioinformatician means you’ve to learn how to retrieve and analyze biological data in the most efficient way, to learn how to align & analyze biological sequences to predict the evolutionary histories between them, to find out the conserved patterns, to learn how to predict coding regions or genes from a raw nucleotide sequence, and much more.
To efficiently deal with huge genomic and proteomic data often requires writing short scripts or patches of code to computationally analyze the biological datasets, rather than comparing and analyzing such huge datasets manually. Hence, the major part of Bioinformatics involves computationally analyzing biological datasets.
R is one of the most widely-utilized and powerful programming languages in bioinformatics. R especially stands out in the areas of research where a variety of statistical tools are required, e.g. RNA-Seq, microarray analysis, statistical testing, biological data visualization, population genomics and in the production of publication-quality graphs and figures
In this course you’ll learn the very basics of most commonly utilized biological databases, how to find conserved and variable regions within sequence alignments & analysis and do evolutionary & phylogenetic analysis. You’ll also be able to learn various concepts related to how to write your first script in R, various built-in functions and packages provided by R. Along with, how to write built-in functions in R, work with loops and how to control the flow of your program and script.
Joining and learning from the Fundamental Bioinformatician Course in R can enhance your biological career by learning through various useful & informative pre-recorded lectures on Bioinformatics tools, databases, servers and biological programming in R.
- The target audience for the Basic Bioinformatician Course in R are biologists, beginner or intermediate Bioinformaticians or data analysts with no or little experience in applications of computational bioinformatics and analysis.
- However, a superficial understanding of molecular biology and logic development for coding is expected from you before you join the course.
- Bioinformatics is quite easy to get started in, even if you lack a proper understanding of the underlying concepts of Bioinformatics databases, servers, tools and the algorithms working behind them.