Thursday, May 21, 2020

Using Python For Computational Biology And Bioinformatics

Python: An Emerging Tool in Computational Biology and Bioinformatics Xudong Luan Harrisburg University of Science and Technology Harrisburg, PA, USA Abstract—This research paper reviews journal articles in the domain of using Python for Computational Biology and Bioinformatics and demonstrates a Python project to mine any DNA sequence and display the results. Keywords—Computational Biology; Bioinformatics; Python; Biopython; Matplotlib; DNA Mining I. INTRODUCTION Biologists and life science researchers have been increasingly facing the challenge of dealing with large amounts of biological data. For example, sequencing the human genome requires the computing power of processing highly complex algorithms that can only be achieved in computers. Computational biology and bioinformatics have a lot of things in common yet some parts not in common. Computational biology concerns about developing data-analytical modeling and computational simulation to study biological systems. On the other hand, bioinformatics involves how to extract, store, organize, analyze and visualize life-sciences data. Python is a simple, concise, compact yet powerful programming language compared to other high-level programming languages such as Java. Python has become more and more popular in the science and technology field because of its ease of use and more importantly because it is open source and has an energetic and innovative community to develop and improve its already powerful library

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