Análise Comparativa: Python puro e Biopython na Bioinformática do Conteúdo GC

Abstract

As the amount of biological data has exploded on an unprecedented scale, an urgent demand has emerged to combine biological knowledge with computing power. It was in this context that Bioinformatics emerged, as a response to the need for the intersection of the fields of biology and computing. Bioinformatics plays a critical role in interpreting biological data and understanding genetic processes. The combination of the Python programming language and the Biopython library provides powerful tools for manipulating DNA and protein sequences, as well as calculating GC-content. This article presents an analysis of Python and Biopython in Bioinformatics with a special focus on calculation and analysis of GC content, and provides a practical illustrative and comparative guide on the use of pure Python and Biopython, based on an implementation created with advisor Robson Soares Silva for calculating GC content in genomic sequence, in addition to its executions. Colaboratory (Colab) was chosen as the platform for analysis and implementation testing, aiming to establish an accessible and free research environment.