We have compiled the list of Best Reference Books on Bioinformatics subject. These books are used by students of top universities, institutes and colleges. Here is the full list of 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 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.
List of Bioinformatics Books with author’s names, publishers, and an unbiased review as well as links to the Amazon website to directly purchase these books.
- Advance Bioinformatics
- Bioinformatics Sequence Analysis
- Computational Bio-informatics
- Bioinformatics Databases
- Bioinformatics Applications and Algorithms
- Advanced Structural Bioinformatics and Algorithms
|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 goes through the entire spectrum of bioinformatics, covering a wide range of high-throughput technologies. This book should prove an invaluable asset to students and researchers in the fields of bioinformatics, biotechnology, computer-aided drug design, information technology, medical diagnostics, molecular biology and pharmaceutical industry. This book covers topics such as Introduction to Biological Databases, Introduction to Phylogenetic, Methods of Phylogenic analysis, RNA Predict, Information Search and Data Retrieval, Alignment of Multiple Sequences etc. The book also Incorporates Problem Sets containing more than 250 problems and Multiple Choice Questions so that students can test their knowledge and understanding. It contains state-of-the-art technologies for gene identification, molecular modelling and monitoring of cellular processes Data mining, analysis, classification, interpretation and efficient structure determination of genomes and proteomes Importance of cell cycle for discovering new drug targets and their ligands Computer-aided drug design and ADME-Tox property prediction. This book is for students and professionals pursuing careers in the fields of molecular biology, pharmacy and bioinformatics. 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. This book starts with the aim and scope of bioinformatics, it also discusses in detail the essentials of the subject, such as bio-algorithms, bio-databases, molecular viewers, gene annotation methods, molecular phylogeny, and bio-molecular simulations. It further discusses the applications of bioinformatics in protein modeling and computer-aided drug design. The book also presents a discussion on molecular docking, including guidelines for using AutoDock software. 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. This book provides a multiple-choice question, short questions at the end to test the understanding of the students. Numerous biodata bases, appendices, diagrams, and methodology flow charts are given for research purposes.
|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. This book has given a deep understanding of our proteomes and genomes and their evolution. It also focuses on how to access the data archives of the proteome and genome with the right tools and technologies. This book is highly recommended for Chemical Engineers, Biomedical Engineers, environmental scientists, computer engineers, and Biophysicists. 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. This book facilitates easy and understandable reading through the diagrams, appendices, illustrations, methodologies provided. Online resources, solved problems, data calculations, short questions, algorithms, are given for self-test learning.
|4. “Introduction to Bioinformatics” by Teresa Attwood
“Introduction to Bioinformatics” Book Review: This text provides an introduction to the subject and focuses on two key areas, genomics and protein sequence analysis. It provides an overview of primary, composite and secondary databases, and gives a brief introduction to the Internet and the World Wide Web. 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: This book presents the key machine learning approaches and apply them to the computational problems encountered in the analysis of biological data. 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. It also probabilistic graphical models and of the applications of neural networks, as well as has a chapter on microarrays and gene expression.
|7. “Bioinformatics: Basics, Algorithms and Applications” by Ruchi Singh^Richa Sharma
“Bioinformatics: Basics, Algorithms and Applications” Book Review: Knowledge of several subjects like Molecular Biology, Biochemistry, Computer Science, and others are presented in this book. 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 explains state-of-the-art advances in the rapidly developing area of molecular biotechnology. The pattern, tools required, methodologies, sequence and analysis of bioinformatics are expounded profoundly. It consists of chapters authored by leading experts in their respective fields. 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.
2. Advance Bioinformatics
|1. “Advance in Structural Bioinformatics (Advances in Experimental Medicine and Biology)” by Dongqing Wei and Qin Xu
“Advance in Structural Bioinformatics (Advances in Experimental Medicine and Biology)” Book Review: This book examines in detail mathematical and physical modeling, computational methods and systems for obtaining and analyzing biological structures and it uses pioneering research cases as examples. It emphasizes programming and problem-solving skills. It provides information on structure bioinformatics at various levels. It has individual chapters covering introductory to advanced aspects, from fundamental methods and guidelines on acquiring and analyzing genomics and proteomics sequences, the structures of protein, DNA and RNA, to the basics of physical simulations and methods for conformation searches. This book is valuable to researchers and students in the fields of bioinformatics, computational biology and chemistry. Candidates related to medical and biological fields are suggested to read this book.
|2. “Advances in Bioinformatics and Computational Biology” by Joao Carlos Setubal and Sergio Verjovski-Almeida
“Advances in Bioinformatics and Computational Biology” Book Review: This book consists of the proceedings of the Brazilian Symposium on Bioinformatics, BSB 2005, held in Sao Leopoldo, Brazil in July 2005. The papers address a broad range of current topics in computational biology and bioinformatics. The usage of select bioinformatics commercial software modules is also discussed. The book will be useful to students as well as practising professionals. It caters the needs of undergraduate and postgraduate students of biotechnology and bioinformatics.
|3. “Bioinformatics Computing” by Bryan Bergeron
“Bioinformatics Computing” Book Review: This book illuminates key advances in computer visualization, large database design, advanced pattern matching, machine learning, statistical methods and distributed computing-and demonstrates exactly how these advances can be used to advance research into biological systems. It also shows technologies and approaches on the near horizon that will have a significant impact on bioinformatics and introduces the key global and societal issues most likely to shape bioinformatics in the coming years. This book is appropriate for all courses in bioinformatics, for molecular biology students at all levels.
|4. “Bioinformatics For Dummies” by Jean-Michel Claverie
“Bioinformatics For Dummies” Book Review: Methods and Protocols for constructing the basic genome sequence are discussed in this book aimed at biologists and biophysicists. The book offers authoritative coverage of data mining techniques, technologies, and frameworks, analyzing, and extracting knowledge from large databases in the bioinformatics domains. New genomes, advanced techniques, appendices, pro tips, visualized 3D structure trees are also given in this book for better understanding. This book leads you step by step through every bioinformatics task and includes newly created and popular databases and Internet programs as well as multiple new genomes. It provides tips for using servers and places to seek resources to find out about what’s going on in the bioinformatics world. It will show you how to get the most out of your PC and the right Web tools so you’ll be searching databases and analyzing sequences.
3. Bioinformatics Sequence Analysis
|1. “Gene Cloning and DNA Analysis: An Introduction” by T A Brown
“Gene Cloning and DNA Analysis: An Introduction” Book Review: The objective of this volume is to provide readers with a current view of all aspects of gene cloning and DNA analysis. This volume includes chapters describing, in-depth, the individual steps in the methodologies, protocols, and tools necessary for structuring genes. This book. It is of high value to students from biology branches and researchers. This book content is elegantly illustrated and well organized in clear-cut chapters and subsections for the readers to get involved whilst reading. The chapters covered in this book are RNA Sequence, Structure, Function: Computational and Bioinformatic Methods, cloning technologies and techniques. Practically oriented problems, case studies, and appendices at the ends of chapters enrich the value of the book as a teaching resource.
|2. “Bioinformatics for DNA Sequence Analysis (Methods in Molecular Biology)” by David Posada
“Bioinformatics for DNA Sequence Analysis (Methods in Molecular Biology)” Book Review: This book aims to provide practical guidance and troubleshooting advice for the analysis of DNA sequences and covering various properties and methods that unveil the numerous applications and advancements that Bioinformatics has today. This book is highly useful for the graduate level biology, biochemists, and molecular and evolutionary biologist students as well as plant-based researchers who wish to gain a better understanding of various bioinformatics and their sequential analysis. Assuming the reader has little prior knowledge of the subject, its importance, the principles of the techniques used and their applications are all carefully laid out, with illustrations and diagrams. The whole spectrum of the usual molecular biological methods is presented, discussed and substituted. Latest techniques, advancements, methodologies, protocols are given with glossaries at the end of the chapter for the readers to get connected with the book.
|3. “Machine-Learning Based Sequence Analysis, Bioinformatics and Nanopore Transduction Detection” by Stephen Winters-Hilt|
|4. “Bioinformatics and Sequence Data Analysis in Molecular Biology” by Mai S Mabrouk
“Bioinformatics and Sequence Data Analysis in Molecular Biology” Book Review: This book explains the storage, processing, description, transmission, connection, and analysis of these sequential data analysis of bioinformatics. The target audience for this book is biochemists, and molecular and evolutionary biologists that want to learn how to analyze DNA sequences in a simple but meaningful way. All the tools described in the book are free and all of them can be downloaded or accessed. The topics discussed in this book are Gene identification, molecular modelling, proteomes, the importance of cell cycle, computer-aided drug design, molecular biology, and medical analysis. Various tools, software’s, methodologies and techniques are explained in detail. Multiple choice questions, short questions, and drug test results are given at the end of the chapter for the students to practice well.
|5. “Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins” by Andreas D Baxevanis and B F Francis Ouellette
“Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins” Book Review: This book provides readers with a hands-on guide covering the full scope of key concepts in bioinformatics, from databases, tools, methodologies to predictive and comparative algorithms. This book is highly intended for students from biology, computer science, information engineering, and mathematics branches. Variety of advanced topics have been given in this book such as New chapters on genomic databases, predictive methods using RNA sequences, sequence polymorphisms, protein structure prediction, intermolecular interactions, and proteomic approaches for protein identification. With relevant biological examples, this book provides approaches for using many of the most powerful and commonly used computational methodologies for biological discovery. Special topics with appendices, glossaries, references, web links and resources, bibliography are some of the highlights in this book.
|6. “Problems and Solutions in Biological Sequence Analysis” by Mark Borodovsky and Svetlana Ekisheva
“Problems and Solutions in Biological Sequence Analysis” Book Review: This book serves as a foundation for advanced problems in the field of bioinformatics. It is an invaluable resource for students and researchers of molecular biotechnology. This focuses on the problems particularly in biological sequence analysis. Formulae introduction, glossaries for the formulas, table, classification bar, solved formula theorem, prefaces are given for all the formulae discussions which will facilitate a better understanding of the chapter. Numerous worked solutions, a larger set of problems, algorithms, and short questions are given under every chapter. This book will help its readers to develop problem-solving skills which is a key trait for developing in the research sector.
|7. “Bioinformatics: An Introduction (Computational Biology)” by Jeremy Ramsden
“Bioinformatics: An Introduction (Computational Biology)” Book Review: This fine text book will make a greater impact on biological research and, in turn, a progress in biomedicine. This book was mainly written for Biotechnologists, Mathematicians, and Computer science engineers. Numerous bioinformatics softwares such as blast, fasta, insight 2 and GCG are discussed and explained in detail. Some of the topics covered in this book include bioinformatics and its algorithms, database, principles of computer science, sequence analysis, toxicogenomic, glycomic, lipidomic, microbiomes and phylogeny construction. This book facilitates easy and understandable reading through the diagrams, appendices, illustrations, methodologies provided. Novel content on next-generation sequencing, appendices, online databases, new sequential algorithms, structures is given for the betterment of the students.
|8. “Bioinformatics: A Concept-Based Introduction” by Venkatarajan Mathura and Pandjassarame Kangueane
“Bioinformatics: A Concept-Based Introduction” Book Review: This book provides a simple and concise explanation of the basic principles, tools, databases, and applications of bioinformatics. This book has given a deep understanding of our proteomes and genomes and their evolution. It also emphases on how to access the data archives of the proteome and genome with correct tools and technologies. This book is very useful for students from molecular biology, biochemistry, computer science, biology, physics, chemistry, and mathematics. Neural network kernel, pattern recognition, Design of string kernel, rough sets of selection molecules are some of the topics discussed in this book. This comprehensive textbook presents a self-contained guide to bioinformatics with emphasis on providing both a firm grounding in the fundamental concepts and detailed interpretation of the field of bioinformatics. Solved examples illustrating the tactical use of the concepts given in each chapter. Detailed explanations of many of the crucial algorithms, making them intelligible to those without any background in computer science, methodologies, flow charts, illustrations, case studies are given for better understanding. Appendices, web resources, case studies, experimental strategies, glossaries, are given for the readers to understand the topic and connect with the book much easily.
|9. “Protein Bioinformatics: An Algorithmic Approach to Sequence and Structure Analysis” by Ingvar Eidhammer and Inge
“Protein Bioinformatics: An Algorithmic Approach to Sequence and Structure Analysis” Book Review: The volume is intended for graduate-level biology students as well as researchers who wish to understand the basic concepts and theories behind protein bioinformatics. The book discusses detailly about protein sequence and structure analysis in detail. With computational approach the topics covered in this book are data mining, sequence building, the effects of single nucleotide variants, the relationship between individual genomes, major archival databases in microbiology, system biology, the concept of metabolism, and cell structure. Numerous practical examples, case studies, latest findings, and summaries are also provided for the betterment of students. Procedures for sample selection, preparation, storage, data analysis, and modelling are expounded detailly in this book.
4. Computational Bio-informatics
|1. “Fundamental Concept of Bio-informatics” by D E Krane
“Fundamental Concepts of Bioinformatics” Book Review: This book offers a comprehensive coverage of the programs available for analyzing data and the underlying principles behind them which make bioinformatics easily accessible. Areas having potential for research in bioinformatics are also explored. End-of-chapter problems utilize real data to help readers critically evaluate results from a statistical and biological perspective. Readers also learn to apply the theory learnt from this book in real-life problems.
|2. “Introduction to Bioinformatics” by T K Attwood
“Introduction to Bioinformatics” Book Review: The book presents the fundamentals of bioinformatics with special emphasis on the aspects of genomics and protein sequence analysis. Primary, composite and secondary databases are extensively covered. The book also introduces the Internet and the World Wide Web in a concise manner. This book is suitable for undergraduate students in their final year.
|3. “Neural Networks and Genome Informatics (Methods in Computational Biology and Biochemistry)” by C H Wu and J W McLarty
“Neural Networks and Genome Informatics” Book Review: This book provides a comprehensive treatment of neural networks and genome informatics. Basic neural network technology and terminology is introduced in detail. Special system designs for building neural networks for genome informatics are also analyzed systematically. An overview and evaluation of the current methods in this field are also included. The book also explores open research problems and future research directions in neural networks and genome informatics.
|4. “Connecting Medical Informatics and Bio-informatics: Proceedings of MIE2005 (Studies in Health Technology and Informatics)” by R Engelbrecht and A Geissbuhler
“Connecting Medical Informatics and Bio-Informatics: Proceedings of MIE2005” Book Review: This book addresses the medical and biomedical informatics tools and concepts. It contains papers from the proceeding of Medical Informatics Europe 2005, the leading annual conference dealing with telematics in health care. The papers discuss sharing resources between bio-informatics and medical informatics as well as sharing knowledge, common data and tools, interactions and potentialization for the benefit of patients. This is followed by exploration of image processing and feature extraction, and electronic health records and information systems. Subsequent chapters deal with biosignal analysis, human interface, quality assessment, patients as citizens, statistical methods, knowledge engineering and telematics.
|5. “Bio-Informatics” by Sangita
“Bio-Informatics” Book Review: This book bridges the gap between the theoretical and practical aspects of bio-informatics. This book explores the biological research on the web as well as the biochemical basis of life. Phylogenetic analysis, nucleotide sequence data genome, and sequence alignment are also discussed. The book also introduces information expression, protein structure, and folding & function. Question bank and examination papers are also included for practice. This book covers the syllabus of Bio-informatics for B.Tech final year students.
|6. “Bio-Informatics” by Mustafa Man and Julaily Aida Jusoh
“Bio-Informatics: Formal Specification for DNA Database System” Book Review: This book presents the recent advances made in the discovery of new DNA sequences, location of functional sites, and novel repetitive structures using pattern scanning on large sequence database. Tools supporting formal methods which use interactive theorem provers and model checkers are systematically analyzed. Optimal comparison is demonstrated for construction of perfect structure of evolution of living beings.
|7. “Fundamentals of Bioinformatics” by Harisha S
“Fundamentals of Bioinformatics” Book Review: This book covers both the theoretical and practical aspects of bioinformatics. The book studies regulation of gene expression and life at the structural, functional and molecular level using bioinformatics tools. Recent advances made in this field are also covered alongside current topics like drug design technology, pharmacogenomics, proteomics and genomics. This book is ideal for undergraduates, postgraduates and research scholars of life sciences and technological institutes.
|8. “Introduction to Mathematical Methods in Bio-Informatics” by J P Agarwal
“Introduction to Mathematical Methods in Bio-Informatics” Book Review: This book analyzes current models and their mathematical foundations in bio-informatics. Readers can learn about the output of the mathematical models of biology in great detail. Students and professionals can refer to this book.
5. Bioinformatics Databases
|1. “Bioinformatics: Databases And Algorithms” by Guatham N
“Bioinformatics: Databases and Algorithms” Book Review: This book focuses mainly on the database and algorithms of bioinformatics. It also discusses structural bioinformatics. This book is ideal for those without prior knowledge of programming and who are encountering bioinformatics for the first time. This book is very useful for students from molecular biology, biochemistry, computer science, biology, physics, chemistry, and mathematics. Some of the topics discussed in this book are data types and databases in molecular biology, sequence alignment, substitution matrices and phylogenetic trees, determination and analysis of molecular structure, and nucleic acid structure. Bio molecular sequence and structure analyses are expounded in depth. Crucial algorithms, short questions, exercise problems are given for the students to test their knowledge.
|2. “Bioinformatics: Tools and Applications” by David Edwards and Jason Stajich
“Bioinformatics: Tools and Applications” Book Review: This book has been planned and structured for analysing the tool and applications of bioinformatics. This book provides basic ideas and theory behind the bioinformatics databases and structures which will be so helpful for the undergraduate students from the biology and computer science department. Numerous advancements, improved technologies, innovative computer systems, powerful genome research are given in this book. Tools to collect the database and their storing ideas are expounded clearly. This workbook provides previously experienced methodologies and their failures which has been lacking for qualified bioinformatics researchers. Detailed explanations of many of the tough algorithms, prototype classifications, step-by-step procedures, frequent examples, self-test questions, problems, and exercises are given to encourage self-directed learning. This book also contains detailed theoretical and statistical notes which guide future research.
|3. “RNA Sequence, Structure, and Function: Computational and Bioinformatic Methods (Methods in Molecular Biology)” by Jan Gorodkin and Walter L Ruzzo
“RNA Sequence, Structure, and Function: Computational and Bioinformatic Methods (Methods in Molecular Biology)” Book Review: This book focuses on RNA Sequence, Structure, and its Function using Computational and Bioinformatic Methods. This assists scientists in continuing to study key methods, tools, and principles of RNA bioinformatics. Uses, ability and challenges of RNA to carry out various tasks are discussed clearly throughout this book. This book is highly useful for researchers and students from biology, mathematics, computer science and physics. RNA sequence, molecular biology, algorithms, methods in microbiology are some of the topics discussed in this book. Each chapter and theme provides an introduction to the biology and describes the requirements for data processing and details of the methods applied to the data to enhance biological understanding. This book concludes with a brief experimental study and case studies for the students to be familiar with the concepts.
|4. “Bioinformatics: A Practical Approach (Chapman & Hall/CRC Mathematical and Computational Biology)” by Shui Qing Ye
“Bioinformatics: A Practical Approach (Chapman & Hall/CRC Mathematical and Computational Biology)” Book Review: Each chapter of this book begins with a self-contained introduction to principle of bioinformatics and it continues with a brief review of the existing literature on the subject and an in-depth description of recent algorithmic and methodological developments using practical approach. This clear and approachable presentation makes the book appropriate for researchers, practitioners, and graduate students. Concepts and key definitions from both biology and computer science is given. The main focus of the book are on some of the topics such as genome analysis, microarray, sage, gene expression, miRNA and proteomes. Invaluable information retrieval techniques and data calculations are covered to enable the reader to carry out their own online research. Online resources include data sets, Web-based problems, alongside guidance for answering the problems and exercises in the book are given for the students to practice.
|5. “Computing for Comparative Microbial Genomics: Bioinformatics for Microbiologists (Computational Biology)” by David Wayne Ussery and Trudy M Wassenaar
“Computing for Comparative Microbial Genomics: Bioinformatics for Microbiologists)” Book Review: This book talks about the computational biology of microbial genomics in particular. Starting from collecting the database to building its full genome sequences and then using it to test the nearby interacting organisms everything is explained in this book. This book is mainly written for microbiologists with computer science knowledge. Researchers can also go through this book as a reference. The tools, methodologies, frameworks, and scientific methods used for genome production are concentrated in this book. Written in an easily understandable format, the chapters included provides a detailed description and implementation advice that is important for getting the best results. Keeping complex mathematical deductions and formulas to a minimum and understandable way, this book offers both the theoretical underpinnings and practical applications of bioinformatics.
|6. “Plant Bioinformatics: Methods and Protocols (Methods in Molecular Biology)” by David Edwards
“Plant Bioinformatics: Methods and Protocols (Methods in Molecular Biology)” Book Review: The overview and goal of this book are to focus on the description, methodologies, and tools used to collect databases and build genomes from crops and plants. The volume will be useful to bioinformatics developers, particularly those from a computing background, who would like to understand the application of computational tools for biological research. All the chapters start with deep insight about the topic and end with its applications and advancements. Some of the topics discussed in this book are Genomics, Transcriptomics, Proteomics, common DNA analysis tools, phylogenetics analysis, and SNP and haplotype analysis. Greater background information has been provided for advanced topics to ensure that a broad range of readers will have the necessary prerequisite knowledge to understand them. Core algorithms, sequence structure, flow charts, classification diagrams, and step-by-step construction details are given for the readers to understand the concepts better.
|7. “Bioinformatics: Databases and Systems” by imusti|
|8. “Data Mining for Bioinformatics” by Sumeet Dua and Pradeep Chowriappa
“Data Mining for Bioinformatics” Book Review: This book converses about the basic requirements required for data mining which is the first part of genome construction. This book would also be of high value to bioinformaticians, computer scientists, and biology students who would benefit from an introduction to the different tools, systems, and analyses of data mining techniques. A brief overview of molecular biology and of the concept of genome construction is given as a piece of biological information for each and every topic. Feature selection, interpretation, sequencing, and extraction are some of the key topics discussed in this book. The last part delivers the programming languages used in biology, glossaries, website and database design; algorithms used for sequence generation. Short questions, Exercise problems are given at the end of each chapter for the students to practice and get hold of the concepts.
6. Bioinformatics Applications and Algorithms
|1. “Scalable Pattern Recognition Algorithms: Applications in Computational Biology and Bioinformatics” by Pradipta Maji and Sushmita Paul
“Scalable Pattern Recognition Algorithms: Applications in Computational Biology and Bioinformatics” Book Review: This book clearly explains how a scalable pattern can be recognized with machine learning and artificial intelligence concepts using computational biology and bioinformatics principles. This book is highly recommended for Chemical Engineers, Biomedical Engineers, environmental scientists, computer engineers, and Biophysicists. Abundant software, algorithms, pattern recognition methodologies are expounded clearly. Neural network kernel, pattern recognition, Design of string kernel, rough sets of selection molecular are some of the topics discussed in this book. Applications, datasets, magnetic resonance images, examples, and experimental results are given at the end of the chapter for the students to understand the concepts better. Researchers can refer to this book for basic principles and advanced techniques.
|2. “Multiobjective Genetic Algorithms for Clustering: Applications in Data Mining and Bioinformatics” by Ujjwal Maulik and Sanghamitra Bandyopadhyay
“Multiobjective Genetic Algorithms for Clustering: Applications in Data Mining and Bioinformatics” Book Review: This book addresses the need for a unified framework describing how data mining and bioinformatic techniques can be judiciously formulated and used in building efficient generic algorithms. Students from biology, computer science, physics, and mathematics can use this book. Researchers and working professionals can refer to this book for clear cut concept clarifications. The text reviews cutting-edge research, providing a careful balance of theory, practical algorithms, and applications, with a particular emphasis given to applications in data mining and bioinformatics for clustering of algorithms. Some of the topics discussed in this book are analysis of relationships among sequences, Principles of data mining, multiobjective genetic algorithms, key applications for data mining, and bioinformatics. This book focuses and emphasizes the application and advancements with exercise problems, short questions, and bibliography discussed at the end of the chapter.
|3. “Algorithms in Bioinformatics” by Aaron Darling and Jens Stoye
“Algorithms in Bioinformatics” Book Review: the book is primarily dedicated to algorithms in bioinformatics with extensive real-life applications and advancements. The book can be used as a textbook and as a reference book by graduate students and industrial researchers in the areas of soft computing, data mining, bioinformatics and geoscience, and biology. This book highlights research in algorithmic work for bioinformatics, computational biology, systems biology, neural network, sequences, and faster mass decomposition. This book discusses in detail the numerous researches, arrays, databases, database access, analysis tools, phylogeny construction, and application of bioinformatics. Various research results, images, illustrations, methodologies, classifications, flow charts are given for each topic for the students to understand the concepts better. Short questions with answers, exercise problems, multi-choice questions are provided at the end of the chapter for the students to practice.
|4. “Bioinformatics Algorithms: Techniques and Applications (Wiley Series in Bioinformatics)” by Ion Mandoiu and Alexander Zelikovsky
“Bioinformatics Algorithms: Techniques and Applications” Book Review: This book addresses the need for bioinformatics describing how its techniques and applications can be judiciously formulated and used in building efficient sequence structures. It is mainly written for students from biology, computer science, information engineering, and mathematics branches. This book gives recent advancements, discoveries, methodological developments, and algorithms of bioinformatics. Some of the topics discussed in this book are microarray design and analysis, meta-analysis, computational inference of haplotypes, microarray physical design, proteomes, and genomes classification. This book includes numerous examples and experimental results to support the theoretical concepts described. It also concludes each chapter with directions for future research and a comprehensive bibliography.
|5. “Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence (Natural Computing Series)” by imusti
“Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence (Natural Computing Series)” Book Review: This book introduces algorithmic techniques in bioinformatics, emphasizing their applications and web intelligence. This book is ideal for those without prior knowledge of programming and who are encountering bioinformatics for the first time. This book is very useful for students from molecular biology, biochemistry, computer science, biology, physics, chemistry, and mathematics. The topics explained in this book are the neural network, genetic classifiers, system design, soft computing, data mining, web intelligence, and genetic algorithms. This book focuses on natural selection theory and incorporates it into genetic algorithms. Each chapter begins with a computational problem, continues with a brief review of the existing literature on the subject and an in-depth description of recent algorithmic advancements, and concludes with a brief experimental study. This clear and approachable presentation makes the book appropriate for researchers, practitioners, and graduate students.
|6. “Selected Parallel Algorithms for Bioinformatics applications: Parallel Computing for Bioinformatics Applications” by Hisham Mohamed and Mohamed Abouelhoda
“Selected Parallel Algorithms for Bioinformatics applications: Parallel Computing for Bioinformatics Applications” Book Review: This book introduces algorithmic techniques in bioinformatics using parallel computing theory, emphasizing their applications. This book is highly useful for students who have studied biology (i.e., botany, zoology, biochemistry, microbiology, etc.), mathematics, and computer science. This book provides a simple and concise explanation of parallel chaining algorithms, parallel suffix theory, sequence analysis, multi-core, and distributed process, and Algorithmic approaches in structural and systems biology. This book demonstrates systematic applications of these techniques to real-world problems in the areas of data mining, bioinformatics, and parallel computing. The authors offer detailed theoretical and statistical notes, guides to future research, glossaries, and chapter summaries at the end of the chapter for the students to understand the concepts better.
7. Advanced Structural Bioinformatics and Algorithms
|1. “Machine Learning Meets Medical Imaging” by Kanwal Bhatia and Herve Lombaert
“Machine Learning Meets Medical Imaging” Book Review: The book contains 10 papers which communicate the specific needs and minutely outlines the medical imaging to the machine learning community while exposing the medical imaging community to current trends in machine learning. The book includes topics like Image Processing and Computer Vision, Pattern recognition, and Graphics. Students related to the computer fields like Engineering and IT can prefer studying Machine Learning from this book.
|2. “Structural Bioinformatics of Membrane Proteins” by D Frishman
“Structural Bioinformatics of Membrane Proteins” Book Review: The book mainly focuses on the bioinformatics of membrane proteins in which it explains about evolution, structure, function, and bioinformatics of membrane proteins with the help of recent experiment results. Book elaborates about the recently solved membrane protein structures. People and students belonging to research, engineering, biochemistry, and biophysics are suggested to read this book.
|3. “Radiation Induced Molecular Phenomena in Nucleic Acids” by Jerzy Leszczynski and Manoj K Shukla
“Radiation Induced Molecular Phenomena in Nucleic Acids” Book Review: Mechanism of the ultrafast non-radiative decay process, design of photostable atoms & molecules, experimental techniques to examine photophysical behaviour, UV radiation and low-energy electron induced phenomena in nucleic acid bases (NABs) are analysed in this book. The book is based on Organic Chemistry and people belonging to medical, research, biology, and chemistry can prefer this book.
|4. “Organisation of Chromosomes (Advances in Protein Chemistry and Structural Biology)” by Rossen Donev
“Organisation of Chromosomes (Advances in Protein Chemistry and Structural Biology)” Book Review: The book covers almost all the important topics related to Protein Chemistry. Concepts like purification/expression, proteomics, modeling, and structural determination and design are explained very efficiently with suitable examples. Researchers, students related to the biological branch or branch of chemistry can have this book.
|5. “Fidelity and Quality Control in Gene Expression” by Assen Marintchev
“Fidelity and Quality Control in Gene Expression” Book Reviews: Biology students, Chemistry students, Researchers, Teachers, and Biological engineers are the candidates who can choose this book as this book guides how to study biology and genetics with computer-aided machines. Comprehensive mechanistic and quantitative views of the processes that mediate the quality control in translation are covered in the book. All the processes that impact the quality control like detection and elimination of defective mRNAs, recycling and translation re-initiation, mRNA editing, translational recoding through programmed frame-shifting are well-elaborated. Each chapter contains exercises that would help the reader know how to apply the theories.
|6. “Advanced Simulation in Biomedicine: 003 (Advances in Simulation)” by Dietmar P F Möller
“Advanced Simulation in Biomedicine: 003 (Advances in Simulation)” Book Review: Detailing and representation of the simulation techniques in a variety of biomedical applications are done in the book with supporting examples and diagrammatic representations and flowcharts. Structured biological modeling based on the bond graph method followed by an up-to-date account of advanced simulation of a variety of sophisticated biomedical processes, computer simulation techniques, tools that can be applied to research problems in biomedicine are discussed in the book.
| 7. “Introduction to Bioinformatics Algorithms” by Neil J Jones and Pavel A Pevzner
“Introduction to Bioinformatics Algorithms” Book Review: This book introduces the underlying algorithmic principles that are driving advances in bioinformatics using both mathematics and practical techniques. Both algorithmic and biological aspects of biologically relevant problems are discussed, including a detailed problem formulation and solutions for each aspect. The book clears the exposition of the algorithmic principles driving advances in bioinformatics. A balance between mathematics and practical techniques is maintained. The book explains the ideas behind every algorithm. Undergraduate students can also use this book. It includes a dual table of contents, organized by algorithmic and biological ideas; discussions of biologically relevant problems, including a detailed problem formulation and one or more solutions for each; and brief biographical sketches of leading figures in the field. The book is intended for undergraduate students of biology and computer science.
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