Best Reference Books – Introduction to Computational Biology

We have compiled the list of Top 10 Best Reference Books on Introduction To Computational Biology subject. These books are used by students of top universities, institutes and colleges. Here is the full list of top 10 best books on Introduction To Computational Biology along with reviews.

Kindly note that we have put a lot of effort into researching the best books on Introduction To Computational Biology subject and came out with a recommended list of top 10 best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on "Introduction To Computational Biology" as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.

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: The book in discussion talks about a variety of concepts of bioinformatics. It is recommended to students and researchers studying the subject. Emphasis is laid on the computational approaches in biology and bioinformatics. Key concepts such as genomic databases, predictive methods using RNA sequences are covered. The reader can find numerous solved problems throughout the text along with special boxes for key terms and advance topics. A few other concepts covered are 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 extremely suitable to graduate students and researchers In the field of quantitative sciences. The book also provides introduction to application of mathematical, statistical and computational methods in the field of molecular biology. The book establishes a perfect balance between mathematical theory and biological aspects. The book also provides various examples avoiding unnecessary proofs and theorems. The book also contains chapters on genome rearrangements, gene prediction and other research directions.

3. “Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids” by R Durbin S Eddy and Akrogh G

Book Review: This book provides updated information related to Bayesian methods, probabilistic methods of sequence analysis and others. The book also explains hidden markov models for analyzing biological sequences, linguistic grammar based probability models for identification of RNA structures and other models for developing sequences from different organisms. The book is useful for microbiologists, computer scientists and mathematicians.

4. “Bioinformatics Basics: Applications in Biological Science and Medicine” by H H Rashidi and L K Buchler

Book Review: This book provides an understanding of all the available bioinformatics tools. The author uses fresh approaches for data analysis and identifies the computing techniques that will help them to find out the rapid information flow that is needed. The book also provides latest approaches to data analysis and also describes the latest advancements in genomics, microarrays, proteomics and bioinformatics. The book also describes how bioinformatics tools are utilized and adapted to meet the needs of 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 main idea of the book is presenting modern computational techniques employed in a variety of subjects. It targets the students of undergraduate level courses in applied mathematics. The book begins by providing a solution to schrodinger’s equation before dealing with the concepts of perturbation theory, variational calculations. The book enables the readers to develop and implement computational methods to a variety of problems in science. The readers will find several solved problems along with applications of the concepts throughout the text. A few other topics discussed are: 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 provides a presentation of the design principles of biological systems and also stresses the recurring circuit elements that are used to build up biological networks. The book also presents a simple mathematical framework which is used for design and understanding of biological circuits. The book also focuses on biological systems that illustrate key principles and concepts. The book also sets up a strong foundation for the better understanding of general principles. The book also helps the readers to questions the design of a system and go ahead to answer it with simplified models.

7. “Mathematical Modeling in Systems Biology: An Introduction” by Ingalls Brian P Ingalls

“Mathematical Modeling in Systems Biology: An Introduction” Book Review: The book emphasises mainly on the mathematical concepts approaches towards understanding and interpreting models in molecular systems biology. Undergraduate or graduate students in life science or engineering with an understanding of calculus can apprehend it. The first half of the book deals with the basics of mathematical modelling in molecular systems biology. The 2nd half of the book, the last 4 sections dwell more into the concepts such as specific biological domains, treating modeling of metabolic networks, of signal transduction pathways, of gene regulatory networks, and of electrophysiology and neuronal action potentials. Optional sections with more specialized modelling topics are provided in chapters 3 – 8. The reader can find exercises to solve throughout the book for better understanding of the concepts. Exercises provided at the end of each chapter may require computational software. The appendixes provide a review of the molecular biology and concepts, additional mathematical background material. Apart from this, the appendix also provides 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: The book covers fundamental concepts of computational methods in biology. It can be accessed by both readers of mathematical, computer sciences and molecular biology backgrounds. The book covers problems and algorithms developed to solve them in biology. Molecular biology, definitions of key terms, descriptions of models, and algorithmic results are elucidated in the text. Other concepts discussed are: asymtotic running time, heuristics, limitations of NP, sequence comparison techniques such as BLAST and FAST programs.

9. “Introduction to Computational Biology” by Bernhard Haubold

“Introduction to Computational Biology” Book Review: The book presents views on molecular sequence data. It is prescribed for students as well as mathematicians and molecular biologists studying computational biology. The book is divided into two parts. The first part covers concepts of sequence analysis such as pairwise alignment, exact string matching, multiple alignment and hidden Markov models. The second part focuses on evolutionary stage such as phylogenetic reconstruction, the analysis of sequence variation and the dynamics of genes in populations. Readers can also find a software GUI enabling them to implement several key concepts.

10. “Introduction to Computational Biology” by Waterman

“Introduction to Computational Biology” Book Review: The book covers the blend of computational methods and biology. The book helps students and researchers alike. It covers essential concepts of computational biology such as restriction maps of DNA, rough landmark maps of the underlying sequences, and clones and clone maps. It explains the problems faced in the analysis of DNA sequences and computational solutions. The book acquaintances the readers with the structure of biological data and provides solutions to related combinatorial and statistical problems.

People who are searching for Free downloads of books and free pdf copies of these top 10 books on Introduction To Computational Biology – we would like to mention that we don’t have free downloadable pdf copies of these good books and one should look for free pdf copies from these Authors only if they have explicitly made it free to download and read them.

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Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He is Linux Kernel Developer & SAN Architect and is passionate about competency developments in these areas. He lives in Bangalore and delivers focused training sessions to IT professionals in Linux Kernel, Linux Debugging, Linux Device Drivers, Linux Networking, Linux Storage, Advanced C Programming, SAN Storage Technologies, SCSI Internals & Storage Protocols such as iSCSI & Fiber Channel. Stay connected with him @ LinkedIn | Youtube | Instagram | Facebook | Twitter