Bioinformatics Books

Here is a list of books on Bioinformatics which I compiled. My personal favorites are in bold. Let me know, if anything is missing and needs to be added here.

Best Sellers

  1. Amazon Best Sellers - Bioinformatics
  2. Amazon - Hot new releases in Bioinformatics (best-selling new and future releases. Updated hourly.)

Introductory Books

  1. Introduction to Bioinformatics: A Theoretical and Practical Approach by Stephen A., Krawetz and David D.
  2. Introduction to Computational Molecular Biology by Joao Carlos Setubal, Joao Meidanis, Jooao Carlos Setubal
  3. Bioinformatics for Dummies by Jean-Michel Claverie, Cedric Notredame
  4. Developing Bioinformatics Computer Skills by Cynthia Gibas, Per Jambeck
  5. Beginning Perl for Bioinformatics by James Tisdall

General Bioinformatics Books (Including Genomics)

  1. A Primer of Genome Science by Gibson G and Muse SV
  2. Bioinformatics : A Biologist's Guide to Biocomputing and the Internet by Stuart M. Brown
  3. Bioinformatics Basics Applications in Biological Science and Medicine by Hooman H. Rashidi, Lukas K. Buehler
  4. Bioinformatics: Methods and Protocols by Stephen Misener, Stephen A. Krawetz
  5. Bioinformatics : Sequence, Structure, and Databanks : A Practical Approach (Practical Approach Series by Des Higgins and Willie Taylor
  6. Biological Sequence Analysis : Probabilistic Models of Proteins and Nucleic Acids by Richard Durbin, Sean R. Eddy, Anders Krogh, Graeme Mitchison
  7. Bioinformatics Basics: Applications in Biological Science and Medicine by Hooman H. Rashidi, Lukas K. Buehler
  8. Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins, Second Edition by Andreas D. Baxevanis, B. F. Francis Ouellette
  9. Bioinformatics (Adaptive Computation and Machine Learning) by Pierre Baldi, Søren Brunak
  10. Bioinformatics: Databases and Systems by Stanley Letovsky
  11. Bioinformatics: Methods and Protocols by Stephen Misener and Stephen A. Krawetz
  12. Bioinformatics: Sequence and Genome Analysis by David W. Mount
  13. Computational Molecular Biology: An Introduction by Peter Clote, Rolf Backofen
  14. Discovering Genomics, Proteomics, and Bioinformatics by A. Malcolm Campbell and Laurie J. Heyer
  15. DNA Microarrays and Gene Expression : From Experiments to Data Analysis and Modeling by Pierre Baldi, G. Wesley Hatfield and Wesley G. Hatfield
  16. Genomic Perl: From Bioinformatics Basics to Working Code by Rex A. Dwyer
  17. Genomics: The Science and Technology Behind the Human Genome Project by Charles R. Cantor, et al
  18. Genomics and Proteomics : Functional and Computational Aspects by Sandor Suhai
  19. Guide to Human Genome Computing by M. J. Bishop
  20. Human Gene Evolution by Cooper DN
  21. Microarrays for an Integrative Genomics (Computational Molecular Biology) by Isaac S. Kohane, Alvin Kho, Atul J. Butte
  22. Post-Genome Informatics by Minoru Kanehisa
  23. Statistical Methods in Bioinformatics by Warren J. Ewens, Gregory R. Grant

Proteomics & Structural Bioinformatics Books

  1. Introduction to Protein Structure by Carl-Ivar Branden, John Tooze
  2. Proteomics: From Protein Sequence to Function by S. Pennington and M. J. Dunn
  3. Protein Structure Prediction: A Practical Approach (The Practical Approach Series , No 170) by Michael J. E. Sternberg
  4. Protein Structure Prediction: Bioinfomatic Approach by I.F. Tsigelny
  5. Proteome Research : New Frontiers in Functional Genomics (Principles and Practice) by M. R. Wilkins
  6. Structural Bioinformatics by Philip E. Bourne, Helge Weissig
  7. Molecular Modelling: Principles and Applications by Andrew R. Leach

Textbooks for Systems Biologists

  1. Alon, U. An Introduction to Systems Biology Chapman & Hall/CRC, 2006. Alon's new book is well suited to newcomers in systems biology, framing contemporary understanding of the mathematical and biological underpinnings of cell-signaling circuitry.
  2. Szallasi, Z., Stelling, J. & Periwal, V. System Modeling in Cellular Biology MIT Press, 2006 This book is an excellent collection of review articles that address issues faced by practicing systems biologists. Topics include modeling techniques, data collection, control theory, computational constraints and simulation, as well as software tools.
  3. Systems Bioinformatics: An Engineering Case-Based Approach by Gil Alterovitz (Editor), Marco F. Ramoni (Editor). Publisher: Artech House Publishers; Har/Cdr edition (February 28, 2007). Introduces a quantitative systems approach to bioinformatics research using powerful computational tools drawn from signal processing, circuit analysis, control systems, and communications.

Books focusing on the use of Algorithms and Statistics

  1. Algorithms on Strings, Trees, and Sequences: Computer Science and Computational Biology by Dan Gusfield
  2. Computational Modeling of Genetic and Biochemical Networks by James M. Bower and Hamid Bolouri
  3. Computational Analysis of Biochemical Systems : A Practical Guide for Biochemists and Molecular Biologists by Eberhard O. Voit
  4. Hidden Markov Models for Bioinformatics by Timo Koski, Timo Koskinen
  5. Neural Networks and Genome Informatics by Cathy H. Wu, Jerry W. McLarty
  6. Statistical Methods in Bioinformatics: An Introduction by Gregory R. Grant, Warren J. Ewens
  7. Biological Sequence Analysis : Probabilistic Models of Proteins and Nucleic Acids by Richard Durbin
  8. Time Warps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparison by David Sankoff, Joseph Kruskal
  9. Randomized Algorithms by Rajeev Motwani, Prabhakar Raghavan


This list was last updated on August 26, 2016