R for Bioinformatics

<p>R programming is a versatile and powerful tool for bioinformatics, a field that combines biology, computer science, statistics and math to understand complex biological processes. In this article I will introduce some of the benefits and applications of using R for bioinformatics, a well as some of the resources and packages available for learning and performing bioinformatics tasks in R.</p> <p><img alt="" src="https://miro.medium.com/v2/resize:fit:700/1*L7tjEH5YgPSKK7E4O1fKnQ.jpeg" style="height:700px; width:700px" /></p> <p>Image created by Microsoft Designer AI</p> <p><strong>Why use of R for bioinformatics?</strong></p> <p>R is an open source, free software that allows users to analyze, manipulate and visualize data in various formats and domains. R has several advantages for bioinformatics, such as</p> <p><a href="https://medium.com/@this_is_madhan/r-for-bioinformatics-347841a00b8f"><strong>Website</strong></a></p>