Comprehending biological data falls under the scope of the discipline of bioinformatics. It involves the development of various software tools and methodologies aimed at facilitating the understanding of complex biological data. As an interdisciplinary field, bioinformatics integrates concepts and knowledge from information engineering, computer science, mathematics, statistics, and biology. These areas contribute to an advanced analysis and interpretation of data. Prominent applications of bioinformatics comprise elucidating protein sequences, identifying target genes, discerning disparities among populations, pinpointing single nucleotide polymorphisms, identifying the genetic underpinnings of diseases, understanding desirable traits in agricultural species, and more. Bioinformatics has played a pivotal role in text mining biological literature to develop gene and biological ontologies. This book is a compilation of chapters that discuss the most vital concepts in the field of bioinformatics. The topics covered herein deal with the core aspects of this area. It will also serve as a reference guide for students and academicians.