About This Course
Intermediate Linux Scripting For Bioinformatics Allows You To
Level-up Your Scripting Skills In Linux
Linux/Unix operating systems are always the first choice of Bioinformaticists to handle and analyze huge biological datasets in a much easier and efficient manner. Linux allows you to develop and utilize command line tools for easier and efficient data analysis of biological nature utilizing the command-line interface of Linux/Unix operating systems.
About 90% of the Bioinformatics programs, scripts, or packages are built for Linux computers rather than other operating systems. This is due to the reason that most of the bioinformatics analysis is done on servers earlier, so
most of the programmers code the programs, scripts, or packages that can be run on Linux OS rather than on the Windows operating systems.
Moreover, Linux makes the automated biological analysis easy by providing the ability to create various pipelines so that you don’t have to write the code again and again.
In this course you’ll learn intermediate biological programming on Linux terminal to efficiently retrieve, manipulate and analyze bioinformatics genomic datasets. Along with, learn how to get started with Linux, how to
process and pre-process biological data to manipulate and analyze large genomic files and create pipelines to process the datasets.
Joining and learning from the Intermediate Linux Scripting for Bioinformatics can enhance your biological career by learning through various useful & informative pre-recorded lectures on Linux(BASH) scripting.
- The target audience for the Intermediate Linux Scripting for Bioinformatics 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