Basics of Bioinformatics” is a comprehensive textbook that serves as an essential guide for students, researchers, and professionals seeking a fundamental understanding of the interdisciplinary field of bioinformatics. Authored by leading experts in the field, this book provides a structured and accessible introduction to the core concepts and practical applications of bioinformatics. The book begins by elucidating the foundational principles of biology, genetics, and molecular biology, ensuring that readers without prior biological knowledge can grasp the fundamental concepts. It then seamlessly transitions into the world of computational biology, introducing key topics such as sequence analysis, structural biology, and genomics. One of the book’s key strengths lies in its approach to sequence analysis, a cornerstone of bioinformatics. It covers sequence alignment algorithms, multiple sequence alignment techniques, and motif analysis, equipping readers with the skills to identify conserved regions and functional elements within DNA, RNA, and protein sequences. The book also delves into structural biology, providing insights into predicting and analyzing the 3D structures of biomolecules, a crucial aspect of drug discovery and protein function prediction. “Basics of Bioinformatics” goes beyond theoretical concepts to address practical applications. It explores the use of bioinformatics tools and databases, teaching readers how to access, retrieve, and analyze biological data from public repositories like GenBank and UniProt. Moreover, it emphasizes data integration, showcasing how different types of biological data, such as genomics and proteomics, can be integrated to gain a holistic understanding of complex biological systems. The book is structured in a reader-friendly manner, with each chapter building upon the previous one. It includes numerous examples, case studies, and exercises that reinforce learning and encourage hands-on practice. Additionally, it introduces readers to bioinformatics software and programming languages commonly used in the field, fostering computational skills that are increasingly in demand.