Algorithms in Bioinformatics
From Sequence Analysis to Genome Assembly—A Computational Foundation
Created by AbdelmonimMany students approach bioinformatics thinking it's primarily about biology, only to discover they need deep algorithmic expertise. This book bridges that gap by teaching you the computational methods that actually power modern biological research. You'll learn how fundamental algorithms—dynamic programming, graph theory, and probabilistic models—solve real problems in sequence analysis, genome assembly, and protein prediction. Rather than abstract theory, each algorithm is grounded in biological context: why Smith-Waterman alignment matters for finding similar proteins, how De Bruijn graphs assemble genomes from millions of fragments, and why Hidden Markov Models predict gene structures. You'll develop practical problem-solving skills by understanding complexity analysis, algorithm design patterns, and optimization techniques. Whether you're preparing for advanced bioinformatics research, building computational biology tools, or simply connecting your computer science knowledge to biological applications, this book provides the foundational knowledge and analytical frameworks you need to think algorithmically about biological data.
Est. Length
207 pages (11 chapters)
Language
English
Publication date
Jan 17, 2026
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