17 Best Books on Computational Biology

We have compiled a list of the Best Reference Books on Computational Biology, which are used by students of top universities, and colleges. This will help you choose the right book depending on if you are a beginner or an expert. Here is the complete list of Computational Biology Books with their authors, publishers, and an unbiased review of them as well as links to the Amazon website to directly purchase them. If permissible, you can also download the free PDF books on Computational Biology below.

1. Introduction to Computational Biology

1."Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins" by A D Baxevanis and B F F Ouellette
“Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins” Book Review: This book explores various concepts in the field of bioinformatics and is highly recommended for students and researchers studying the subject. It focuses on computational approaches in biology and bioinformatics, with an emphasis on key concepts like genomic databases and predictive methods using RNA sequences. The text provides numerous solved problems, as well as special boxes highlighting key terms and advanced topics. Additionally, it covers important topics such as sequence polymorphisms, protein structure prediction, intermolecular interactions, and proteomic approaches for protein identification.

2."Introduction to Computational Biology: Maps, Sequences, Genomes" by M S Waterman
Book Review: This book is suitable for graduate students and researchers in the quantitative sciences, offering an introduction to applying mathematical, statistical, and computational methods in molecular biology. Striking a perfect balance between mathematical theory and biological aspects, it assists both students and researchers by covering essential computational biology concepts. These include DNA restriction maps, rough landmark maps of sequences, clones, and clone maps. The book addresses challenges in DNA sequence analysis and provides computational solutions, acquainting readers with biological data structure while offering solutions to related combinatorial and statistical problems. It presents practical examples, avoiding excessive proofs and theorems, and covers advanced topics like genome rearrangements, gene prediction, and evolutionary history inference. Each chapter aids revision with descriptions, examples, laws, and important points.

3."Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids" by R Durbin S Eddy and Akrogh G
Book Review: This book offers current information on Bayesian methods, probabilistic techniques for sequence analysis, and more. It comprehensively explores hidden Markov models for analyzing biological sequences, linguistic grammar-based probability models for RNA structure identification, and various models for sequence development across different organisms. Its valuable insights cater to microbiologists, computer scientists, and mathematicians alike.

4."Bioinformatics Basics: Applications in Biological Science and Medicine" by H H Rashidi and L K Buchler
Book Review: This book offers a comprehensive understanding of the diverse range of bioinformatics tools available. The author introduces innovative approaches for data analysis and identifies effective computing techniques that facilitate rapid information retrieval. It covers the latest advancements in genomics, microarrays, proteomics, and bioinformatics, presenting the most up-to-date approaches to data analysis. Furthermore, the book explores how bioinformatics tools are utilized and adapted to meet the specific requirements of various projects.

5."Computational Methods in Physics, Chemistry and Mathematical Biology: An Introduction" by Harrison
“Computational Methods in Physics, Chemistry and Mathematical Biology: An Introduction” Book Review: The core concept of this book revolves around presenting contemporary computational techniques applied across various subjects. It is specifically designed for undergraduate students studying applied mathematics. The book commences by offering a solution to Schrödinger’s equation and subsequently explores perturbation theory and variational calculations. It empowers readers to develop and apply computational methods to a diverse range of scientific problems. Throughout the text, readers will encounter numerous solved problems and practical applications of the discussed concepts. Additionally, the book covers additional topics such as diffusion, dynamics, Monte Carlo simulations, and genetic algorithms.

6."An Introduction to Systems Biology" by Uri Alon
“An Introduction to Systems Biology” Book Review: This book offers an in-depth exploration of the design principles underlying biological systems, highlighting the recurring circuit elements that form the building blocks of biological networks. It introduces a straightforward mathematical framework for designing and comprehending biological circuits. Moreover, the book centers around specific biological systems that exemplify essential principles and concepts. By establishing a solid foundation, it enhances readers’ understanding of general principles in biology. Additionally, the book encourages readers to question system design and provides simplified models to help answer those questions.

7."Mathematical Modeling in Systems Biology: An Introduction" by Ingalls Brian P Ingalls
“Mathematical Modeling in Systems Biology: An Introduction” Book Review: This book focuses primarily on mathematical approaches for understanding and interpreting models in molecular systems biology. It is accessible to undergraduate or graduate students in life sciences or engineering with a grasp of calculus. The first half covers the fundamentals of mathematical modeling in molecular systems biology. The second half delves deeper into specific biological domains, addressing the modeling of metabolic networks, signal transduction pathways, gene regulatory networks, and electrophysiology/neuronal action potentials. Optional sections in chapters 3-8 explore more specialized modeling topics. Throughout the book, readers will find exercises to enhance their comprehension, including end-of-chapter exercises that may require computational software. The appendices include reviews of molecular biology concepts, additional mathematical background material, and tutorials for two computational software packages (XPPAUT and MATLAB).

8."Introduction to Computational Molecular Biology" by Carlos Setubal and Joao Meidanis
“Introduction to Computational Molecular Biology” Book Review: This book covers the core principles of computational methods in biology, making it accessible to readers from mathematical, computer science, and molecular biology backgrounds. It addresses problems encountered in biology along with the algorithms developed to solve them. The text provides explanations of molecular biology, key term definitions, model descriptions, and algorithmic findings. Additionally, it delves into various concepts such as asymptotic running time, heuristics, the limitations of NP, and sequence comparison techniques like BLAST and FAST programs.

9."Introduction to Computational Biology" by Bernhard Haubold
“Introduction to Computational Biology” Book Review: This book offers insights into molecular sequence data, catering to students, mathematicians, and molecular biologists engaged in computational biology. It is divided into two parts, with the first part exploring sequence analysis concepts like pairwise alignment, exact string matching, multiple alignment, and hidden Markov models. The second part focuses on evolutionary aspects, including phylogenetic reconstruction, sequence variation analysis, and gene dynamics in populations. Readers will also find a software GUI that enables them to implement key concepts. Additionally, the book covers important chapters on algorithmic and combinatorial topics connected to molecular biology and biotechnology.

2. Computational Biology

1."Computational Biology" by Wunschiers R
“Computational Biology” Book Review: This book is designed for the students and researchers engaged in Bioinformatics research. It incorporates up-to-date illustrations of data processing using Linux tools, AWK, and Perl programming languages. Data management is covered through the relational database system MySQL, while data analysis and visualization are explained with diagrams using the statistical computing environment R. The book equips readers with tools, tips, and techniques to effectively process, format, and filter large datasets. It aligns with the latest syllabi of various universities in India, encompassing topics such as identifying pathogenic proteins in bacteria, demonstrating the significance of BLAST with homology modeling, and detecting redox-regulated candidate proteins based on their structure. The author provides detailed descriptions of data processing and analysis techniques, and each theoretical chapter concludes with a substantial number of solved numerical examples from different university examinations.

2."Handbook of Computational Molecular Biology" by Srinivas A
“Handbook of Computational Molecular Biology” Book Review: This book is specifically designed for undergraduate students, presenting concepts in a simple and concise manner. The content follows a logical progression, and a wide range of solved examples are included throughout the book. It primarily focuses on applied problems in computational biology and bioinformatics, covering various relevant topics. The diagrams provided in the book are clear and accurate. Standard and straightforward procedures are employed to derive equations, and the book contains an ample number of solved examples. It caters primarily to computational molecular biology and bioinformatics students

3."Computational Molecular Biology" by Jiang T and Xu Y
“Computational Molecular Biology: An Algorithmic Approach” Book Review: This textbook provides a special focus on large-scale and high-throughput biotechnologies, presenting the subject as both a science and an art. The theories and explanations are reinforced by numerous solved examples, while additional figures are included for enhanced clarity and comprehension. Pedagogically arranged multiple-choice questions and other assessment tools are provided to help students gauge their understanding of the subject. Primarily designed as a textbook for undergraduate and postgraduate students, it is also beneficial for undergraduate students studying computational molecular biology or bioinformatics.

4."Computational Molecular Biology: An Algorithmic Approach" by Pevzner P
“Computational Biology” Book Review: This book offers comprehensive coverage and solutions, as well as ample exercises, allowing readers to gain extensive knowledge upon completion. It includes chapters on data processing and analysis techniques, along with important topics such as the theory of bioinformatics and computational biology. Each chapter contains numerous solved examples, enhancing understanding and application. Advanced concepts like statistics of pattern counts in sequences, RNA secondary structure, and inference of evolutionary history are extensively covered. The book proves valuable for students pursuing computational molecular biology or bioinformatics, as well as those preparing for competitive examinations.

5."Introduction to Bioinformatics" by Anna Tramontano
“Introduction to Bioinformatics” Book Review: This book serves as the comprehensive guide for bioinformatics courses offered nationwide. Primarily targeting students in their first to third year of graduate college, it is ideally taken after completing elementary courses. Regular revisions ensure the inclusion of relevant updates each year. The book covers essential topics such as methods and algorithms for sequence alignment, string data structures, sequence assembly and clustering, genome-scale computational methods in comparative genomics, evolutionary and phylogenetic trees, microarrays and gene expression analysis, computational methods in structural biology, as well as bioinformatics databases and data mining in subsequent chapters.

6."An Introduction to Systems Biology: Design Principles of Biological Circuits" by Uri Alon
“An Introduction to Systems Biology: Design Principles of Biological Circuits” Book Review: This book offers a balanced blend of analytical rigor and accessibility, catering to both novice and advanced readers. The latest edition includes new chapters on topics such as the three-dimensional structure of proteins, expanding its coverage. Abundant examples and exercise questions are provided throughout the book to practice and assess understanding of the concepts. It offers a comprehensive introduction to various areas, including the identification of potentially pathogenic proteins in bacteria, the significance of BLAST and homology modeling, and the detection of redox-regulated candidate proteins. The book is further enriched with well-referenced content and clearly labeled diagrams. It proves beneficial for undergraduate students and those preparing for competitive examinations.

7."Computational Biology" by Fred Jopp and Christoph Lange
“Computational Biology” Book Review: This textbook focuses on the fundamental aspects of computational molecular biology, with special emphasis on alignments, gene finding, phylogeny, and the analysis of single nucleotide polymorphisms (SNPs). The content is presented in a manner that engages students as both scientists and artists. Theoretical concepts and explanations are reinforced by a wealth of solved examples, and additional figures have been included to enhance clarity and understanding. Pedagogically arranged multiple-choice questions and other assessment tools are provided to aid students in evaluating their subject knowledge. Primarily intended as a textbook for undergraduate and postgraduate students, it is also beneficial for undergraduates studying computational molecular biology or bioinformatics.

8."Computational Biology" by Daniel McGuire
“Computational Biology” Book Review: This book offers a clear and comprehensive presentation of bioinformatics, covering the syllabus of various universities. It is suitable for both undergraduate and graduate students, as well as teachers. Each chapter includes exercises categorized as descriptive, analytical, and objective, allowing readers to test their comprehension of the subject. The book systematically and logically addresses various processes such as sequence alignment, string data structures, sequence assembly and clustering, and genome-scale computational methods. The methods of analysis and interpretation are presented in a straightforward manner, accompanied by well-formulated worked-out examples that demonstrate their practical applications.

We have put a lot of effort into researching the best books on Computational Biology and came out with a recommended list and their reviews. If any more book needs to be added to this list, please email us. We are working on free pdf downloads for books on Computational Biology and will publish the download link here. Fill out this Computational Biology books pdf download" request form for download notification.

Subscribe to our Newsletters (Subject-wise). Participate in the Sanfoundry Certification contest to get free Certificate of Merit. Join our social networks below and stay updated with latest contests, videos, internships and jobs!

Youtube | Telegram | LinkedIn | Instagram | Facebook | Twitter | Pinterest
Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He lives in Bangalore, and focuses on development of Linux Kernel, SAN Technologies, Advanced C, Data Structures & Alogrithms. Stay connected with him at LinkedIn.

Subscribe to his free Masterclasses at Youtube & discussions at Telegram SanfoundryClasses.