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Best bioinformatics books to read in 2026
Bioinformatics has grown from a handful of databases into complex algorithms and software for solving biological problems. These books give in-depth grounding in each area, from core concepts and programming to NGS, structural biology and machine learning.
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Bioinformatics 28
Bioinformatics: Sequence and Genome Analysis
by David MountView on Amazon →
Essential BioinformaticsView on Amazon →
Understanding BioinformaticsView on Amazon →
An Introduction to Bioinformatics AlgorithmsView on Amazon →
Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins, 2nd EditionView on Amazon →
Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins, 3rd EditionView on Amazon →
Guide to Human Genome ComputingView on Amazon →
Problems and Solutions in Biological Sequence AnalysisView on Amazon →
Bioinformatics: Genes, Proteins and ComputersView on Amazon →
Computational Biology: Unix/Linux, Data Processing and ProgrammingView on Amazon →
Algorithms on Strings, Trees, and Sequences: Computer Science and Computational BiologyView on Amazon →
Algorithms in Bioinformatics: A Practical IntroductionView book →
Computational Methods for Mass Spectrometry ProteomicsView on Amazon →
Bioinformatics and Functional GenomicsView book →
Introduction to BioinformaticsView on Amazon →
Bioinformatics: The Machine Learning ApproachView on Amazon →
Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic AcidsView on Amazon →
Molecular Evolution and PhylogeneticsView on Amazon →
Bioinformatics Methods: From Omics to Next Generation SequencingView on Amazon →
Gene Genealogies, Variation and Evolution: A primer in coalescent theoryView on Amazon →
Bioinformatics and Molecular EvolutionView on Amazon →
Discovering Genomics, Proteomics and BioinformaticsView on Amazon →
Microarray BioinformaticsView on Amazon →
A Practical Introduction to the Simulation of Molecular SystemsView on Amazon →
The Art of Molecular Dynamics SimulationView on Amazon →
Current Protocols in BioinformaticsView on Amazon →
Inferring PhylogeniesView on Amazon →
RNA Sequence, Structure, and Function: Computational and Bioinformatic MethodsView on Amazon →Structural Biology & Drug Discovery 4
Molecular Docking for Computer-Aided Drug DesignView on Amazon →
Bioinformatics and Computational Biology in Drug Discovery and DevelopmentView on Amazon →
Computational Drug Discovery and DesignView on Amazon →
Pathway Analysis for Drug Discovery: Computational Infrastructure and ApplicationsView on Amazon →Proteomics 3
Introduction to Computational ProteomicsView on Amazon →
Introducing Proteomics: From Concepts to Sample Separation, Mass Spectrometry and Data AnalysisView on Amazon →
Protein Bioinformatics: An Algorithmic Approach to Sequence and Structure AnalysisView on Amazon →Statistics 3
Practical Statistics for Data ScientistsView on Amazon →
Computational Genome Analysis: An Introduction (Statistics for Biology & Health S)View on Amazon →
Statistical Methods in Bioinformatics: An Introduction (Statistics for Biology and Health)View on Amazon →R & Bioconductor 5
Bioinformatics and Computational Biology Solutions Using R and BioconductorView on Amazon →
Bioconductor Case StudiesView on Amazon →
R Programming for BioinformaticsView on Amazon →
R for data science : Import, Tidy, Transform, Visualize, And Model DataView on Amazon →
Bioinformatics with R CookbookView on Amazon →Python 8
Bioinformatics Programming Using PythonView on Amazon →
Bioinformatics with Python CookbookView on Amazon →
Mastering Python for BioinformaticsView on Amazon →
Practical Data Science with PythonView on Amazon →
Learn Python QuicklyView on Amazon →
Fluent Python: Clear, Concise, and Effective ProgrammingView on Amazon →
Python Crash CourseView on Amazon →
Python Data Science Handbook: Essential Tools for Working with DataView book →Perl 3
Beginning Perl for BioinformaticsView on Amazon →
Bioinformatics Biocomputing and Perl: An Introduction to Bioinformatics Computing Skills and PracticeView on Amazon →
Building Bioinformatics Solutions with Perl, R and SQLView on Amazon →AI & Machine Learning 5
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent SystemsView on Amazon →
Deep Learning for the Life Sciences: Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and MoreView on Amazon →
Machine Learning in BioinformaticsView on Amazon →
Algorithmic and Artificial Intelligence Methods for Protein BioinformaticsView on Amazon →
Unsupervised Feature Extraction Applied to Bioinformatics: A PCA Based and TD Based Approach (Unsupervised and Semi-Supervised Learning)View on Amazon →NGS Data Analysis 3
Bioinformatics Data SkillsView on Amazon →
Bioinformatics: A Practical Handbook of Next Generation Sequencing and Its ApplicationsView on Amazon →
Algorithms for Next-Generation Sequencing (Chapman & Hall/CRC Computational Biology Series)View on Amazon →Others 8
Fundamentals of Data Visualization: A Primer on Making Informative and Compelling FiguresView on Amazon →
Learning SQL, 3e: Generate, Manipulate, and Retrieve DataView on Amazon →
Clinical BioinformaticsView on Amazon →
Plant bioinformatics: methods and protocolsView on Amazon →
Genomics in the Cloud: Using Docker, GATK, and WDL in TerraView on Amazon →
XML for BioinformaticsView on Amazon →
PostgreSQL: Introduction and ConceptsView on Amazon →
Computational Systems Biology Approaches in Cancer ResearchView on Amazon →Looking for more? Browse best-selling bioinformatics books on Amazon →
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