Best Reference Books – Bioinformatics

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

Kindly note that we have put a lot of effort into researching the best books on Bioinformatics 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 "Bioinformatics" 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: Methods and Applications: Genomics, Proteomics and Drug Discovery” by Rastogi

“Bioinformatics: Methods and Applications: Genomics, Proteomics and Drug Discovery” Book Review: This book is made for the students studying molecular biology, pharmacy and bioinformatics. It covers a wide range of high-throughput technologies. Introductions to various areas of biology such as biological databases, phylogenetic and its methods of analysis and RNA Predict have been given. Some of the major topics include technologies for gene identification, molecular modelling and monitoring of cellular processes; data mining, analysis, classification, interpretation and efficient structure determination of genomes, etc. Computer aided drug design and discovering new drug targets has been discussed. Each chapter includes detailed examples, chapter-end problems, numerous tables, a large number of diagrams, flow charts, a glossary and bibliography.

2. “Bioinformatics: Principles and Applications” by Zhumur Ghosh and Bibekanand Mallick

“Bioinformatics: Principles and Applications” Book Review: This book is for UG and PG students of biotechnology and DOEACC courses in bioinformatics. The book explores the essentials of the subject, such as bio-algorithms, bio-databases, molecular viewers, gene annotation methods, molecular phylogeny, and bio-molecular simulations. It also discusses the applications of bioinformatics in protein modeling and computer-aided drug design. The book also talks about usage of select bioinformatics commercial software modules in detail. It also puts forward a debate on molecular docking, including guidelines for using AutoDock software. It can come in handy for many practicing professionals.

3. “Introduction to Bioinformatics” by Lesk

“Introduction to Bioinformatics” Book Review: This book illustrates how bioinformatics can be used as a powerful set of tools for retrieving and analyzing this biological data. It also shows how bioinformatics can be applied to a wide range of disciplines such as molecular biology, medicine, biotechnology, forensic science, and anthropology. From genetics to genomes, it provides info about the classical genetics background, DNA sequencing, fragment assembly, etc. The transmission of genetic information with examples from genome sequencing projects has been given. Alignment and Phylogenetic Trees, Structural Bioinformatics and Drug Discovery, Systems Biology, etc are some of the areas of bioinformatics discussed in detail. Each chapter includes frequent examples, self-test questions, problems, and exercises for in-depth learning.

4. “Introduction to Bioinformatics” by Teresa Attwood

“Introduction to Bioinformatics” Book Review: This book is about sequence analysis. It is an attempt to what realistically can and cannot be achieved with today’s computer programs in today’s databases. The analysis approaches discussed in this book are concerned with the ability to detect relationships with sufficient confidence that structural or functional information about a known sequence may be sensibly transferred to an uncharacterised one. It provides a guide to some of the most popular databases and search tools available. This book also dives into a real application, in the form of an interactive bioinformatics practical on the World Wide Web. First, it discusses databases of protein and nucleic acid and their formats. Second, it discusses the pairwise and multiple sequence alignment methods. Then, various pattern recognition methods such as profile, single motif, multiple motif, etc have been explored. Towards the end, the book talks about how we can combine these techniques with an effective search protocol.

5. “Bioinformatics” by R Sundaralingam and V Kumaresan
6. “Bioinformatics: The Machine Learning Approach” by Baldi Pierre

“Bioinformatics: The Machine Learning Approach” Book Review: The book provides a description of the main biological concepts and problems for the readers with a strong background in Mathematics, Statistics and Computer Science. It includes definition of main concepts and proofs of main theorems. First, it provides an introduction to sequence data in context of molecular biology. Then, it lays the foundation of machine learning techniques. It also illustrates the general Bayesian probabilistic framework. Then, it contains a brief treatment of basic algorithms required for Bayesian inference, machine learning and sequence applications. Next, an introduction to the theory of neural networks has been given. Lastly, hidden Markov models and the corresponding dynamic programming algorithms have been described in detail.
7. “Bioinformatics: Basics, Algorithms and Applications” by Ruchi Singh^Richa Sharma

“Bioinformatics: Basics, Algorithms and Applications” Book Review: principles.This book gives an appropriate explanation of the basic principles, tools and applications of bioinformatics. It describes subjects that are part of a conventional bioinformatics course, such as databases and database access. It analyses tools and principles of computer science that underlie the algorithms which are built into these tools. Core algorithms of sequence analyses and phylogeny construction have been discussed. First, it discusses bioinformatics and algorithms, then databases and matrices, alignment and comparison of sequences and lastly algorithms to analyse data applications of bioinformatics. It covers all the important aspects of this multidisciplinary subject of bioinformatics.

8. “Bioinformatics: A Practical Manual” by Kasturi K and K Sri Lakshmi

“Bioinformatics: A Practical Manual” Book Review: This book is designed for UG and OG students of Bioinformatics to give them a practical exposure. It is important for the professionals in the fields of Biotechnology, Biochemistry and Computer Science. It covers basic practical knowledge about various databases and tools of Bioinformatics. First, it talks about biological databases and sequence analysis. Then, Nucleic Acid feature identification and Protein Structure prediction has been done in detail. Structure Visualisation tools, Molecular Modelling and Drug-Docking are other important topics discussed later in this book.

9. “Bioinformatics: Sequence and Genome Analysis” by Mount and David W

“Bioinformatics: Sequence and Genome Analysis” Book Review: This book first provides an introduction and historical overview of sequence and genome analysis in bioinformatics. It gives an introduction to probability and statistical analysis of sequence algorithms. Phylogenetic Prediction, Prediction of RNA secondary structure, Gene Prediction, etc are all important topics discussed in this book. Multiple Sequence Alignment and sequence database searching for similar sequences are part of sequence analysis done in this book. Protein Classification with its structure prediction has been done. Towards the end, the book conducts an analysis of microarrays and explains the Bioinformatics Programming using Perl and Perl Modules.

10. ” Bioinformatics Computing” by Bryan Bergeron

“Bioinformatics Computing” Book Review: This book is a comprehensive, practical guide to bioinformatics for biology students at every level. It illustrates key advances in computer visualization, large database design, advanced pattern matching, machine learning, statistical methods and distributed computing. It also portrays how exactly these advances can be used to advance research into biological systems. The book also discusses technologies and approaches that will have a significant impact on bioinformatics in the not too distant future. It also identifies global and societal issues that are likely to shape bioinformatics soon enough. It provides 3D visualization exploring the inner workings of complex biological structures. It includes event driven, time driven and hybrid simulation techniques for microarray research and gene prediction.

People who are searching for Free downloads of books and free pdf copies of these top 10 books on Bioinformatics – 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.

We have created a collection of best reference books on "Bioinformatics" so that one can readily see the list of top books on "Bioinformatics" and buy the books either online or offline.

If any more book needs to be added to the list of best books on Bioinformatics subject, please let us know.

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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