There are lots of great material on Introduction to Computational Biology subject in the internet, buts its always a challenge to figure out a ready list of top books on Introduction to Computational Biology that one can refer to immediately. Even though online materials are good, but nothing can beat the depth of coverage that a book can offer. Hence, we researched the list of Introduction to Computational Biology books which are used by students worldwide and came up with top 10 Book Recommendations on Introduction to Computational Biology subject. These books can be used as a great starting point for anyone studying Introduction to Computational Biology and can also be used as a ready reference for Under-Graduate and Post-Graduate programs.
Most of these Introduction to Computational Biology books are also in the best-seller lists in Amazon website. We have added a brief description of these best books and have also included direct links to Amazon site (as affiliate). This allows anyone to directly visit the site and order printed copies of these best books.
Here is the full list of best reference books on 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|
|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, 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|
|6. “An Introduction to Systems Biology” by Uri Alon|
|7. “Mathematical Modeling in Systems Biology: An Introduction” by Ingalls Brian P Ingalls|
|8. “Introduction to Computational Molecular Biology” by Carlos Setubal, Joao Meidanis|
|9. “Introduction to Computational Biology” by Bernhard Haubold|
|10. “Introduction to Computational Biology” by Waterman|
If any more book needs to be added to the list of best books on Introduction to Computational Biology Subject, please let us know.
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