Best Reference Books – Biological Databases and Data Analysis

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

Kindly note that we have put a lot of effort into researching the best books on Biological Databases and Data Analysis 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 "Biological Databases and Data Analysis" 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. “Building a Biological Database” by Itunuoluwa Ewejobi

“Building a Biological Database” Book Review: This book gives broad and deep coverage of the principles of the biological database. This textbook was written for students from computer science, Biomedical Engineering, and biology branches. Working professionals from medicine and medical industries can refer through the springboard given in this book for research purposes. The findings of the book obtained from various data will guide work on malaria research and speed up the drug and vaccine development pipeline. This workbook gives realistic knowledge that trained bioinformatics researchers have missed. Many of the main algorithms are explained in-depth, rendering them intelligible to someone having no experience in the computer science field. To encourage the reader to do their online analysis, invaluable information retrieval strategies and data calculations are given.

2. “Introduction to Databases: From Biological to Spatio-Temporal (Texts in Computer Science)” by Peter Revesz

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“Introduction to Databases: From Biological to Spatio-Temporal (Texts in Computer Science)” Book Review: The definitions and concepts of different databases are illustrated and explored in this book. For students in biochemical engineering and biotechnology, it is particularly useful. This book will also be used for practitioners and students from several other departments to understand the principles. Latest advanced topics, techniques, tools are expounded in detail for the students to connect with the book easily. Biological structures, Rapid prototype sequences, and numerous other information are stored and discussed thoroughly in this book. This book offers authoritative coverage of data mining techniques, technologies, and frameworks used for storing, analysing, and extracting knowledge from large databases in the bioinformatics domains, including genomics and proteomics. It begins by describing the evolution of biological databases and highlighting the challenges that can be addressed using data mining techniques.

3. “Handbook of Biological Confocal Microscopy” by James Pawley

“Handbook of Biological Confocal Microscopy” Book Review: This book gives deep insight on confocal microscopy and also explains its principles and various technological concepts used to build it. It shows how to use predictive mathematical models to acquire and analyse knowledge about cellular microbes. It also explores how the models are systematically applied in biotechnology. This book is highly useful for the biology-based branch students which they can carry it all the time as it is pocket friendly. This book is written in a conducive way and given glossaries for the students to understand the ideas swiftly. Models, diagrams, case studies, applications, advancements, and illustrations are also given for each topic.

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4. “Database of Medicinal Plants from Western Ghats – India” by Sekhar Shailasree and Harishchandra Sripathy Prakash

“Database of Medicinal Plants from Western Ghats” Book Review: An attempt was made in this book to present accurate treatises, the findings of scientific screening and assessment of the individual Western Ghats medicinal plants with reference to research publications as quoted from the original source, allowing the reader to consult the source. This volume details certain medicinal plants, beginning with the alphabets A and B, as part of around a few hundred medicinal plants. This book is a genuine attempt to present medicinal plant research in a manner in which its multiple facets have been collected and summarized so that the reader can access it whenever they want. The rational approach uses an intuitive method based on an expressive relational vocabulary to offer explanations. It offers an excellent roadmap for all scientists, biologists, bioinformaticians, and engineers interested in biological systems modeling focused on logic, and the writers aim to inspire new scientists to pursue this thrilling research effort.

5. “Fundamentals of Bioinformatics and Computational Biology (Modeling and Optimization in Science and Technologies)” by Gautam B Singh

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“Fundamentals of Bioinformatics and Computational Biology (Modeling and Optimization in Science and Technologies)” Book Review: This book presents detailed coverage of all primary bioinformatics issues and contains realistic examples completed using the bioinformatics toolbox from MATLAB. It is mainly intended as a textbook for students in engineering and computer science who are attending advanced bioinformatics and computational biology undergraduate and graduate classes. Starting with an introductory chapter on molecular biology and genetics, the book develops bioinformatics principles from basics. This chapter will help students of physical science to thoroughly understand and appreciate the ultimate aims of applying information technology concepts to problems in biological data processing, sequence analysis, and biology of systems. The second section of the book discusses methodologies for biological knowledge extraction, including basic sequence comparison algorithms, ranking, and evolutionary distance calculation. The third part mainly emphasizes modeling biological sequences and patterns like chains of Markov. It provides core criteria for evaluating and looking for essential motif sequences and biomarkers. The book contains, in short, the perfect hands-on reference guide for the field of bioinformatics and machine biology.

6. “Data Mining for Bioinformatics” by Sumeet Dua and Pradeep Chowriappa

“Data Mining for Bioinformatics” Book Review: Data Mining for Bioinformatics offers a detailed discussion of data-intensive computations used in data mining with applications in bioinformatics, including theory, algorithms, and methodologies, as well as data mining technologies. To help readers from both biology and computer science backgrounds develop an enhanced understanding of this cross-disciplinary area, it provides a limited, but detailed, overview of the implementation domains of data mining for bioinformatics. The book presents key features of the data mining methods, tools, and systems used in the bioinformatics fields, including genomics and proteomics, to store, interpret and derive information from broad datasets. It starts by describing the evolution of bioinformatics and highlighting the challenges that can be solved using techniques of data mining. The text is organized into four parts, introducing the different data mining strategies that can be used in biological databases.

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7. “Practical Computing for Biologists” by Steven H D Haddock and Casey W Dunn

“Practical Computing for Biologists” Book Review: This book teaches you how to function more powerfully and easily with many publicly available computing resources. The book was born from the own experience of the authors in creating scientific instruments and assisting other biologists with their computational problems. It concentrates on subjects and techniques that are relevant to a variety of research activities. Some of the chapters discussed are Searching with regular expressions, The Unix command line, Python programming and debugging, Creating and editing graphics, Databases, and Performing analyses on remote servers. Although most principles and examples apply to every operating system, Mac OS X focuses on the core story. For Windows and Linux users, where there are variations, concurrent instructions are given in the margin and an appendix. The book is intended for researchers to use as a self-guided resource, a supplementary book in a course, or as a primary textbook. This book is written in a conducive way and given glossaries for the students to understand the ideas swiftly. Models, diagrams, case studies, applications, advancements, and illustrations are also given for each topic.

8. “Principles Of Biological Database” by Kishor P B K
People who are searching for Free downloads of books and free pdf copies of these top 10 books on Biological Databases and Data Analysis – 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 "Biological Databases and Data Analysis" so that one can readily see the list of top books on "Biological Databases and Data Analysis" and buy the books either online or offline.

If any more book needs to be added to the list of best books on Biological Databases and Data Analysis subject, please let us know.

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Manish Bhojasia - Founder & CTO at Sanfoundry
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