Our list of some of the best Bioinformatics books & series in recent years. Get inspired by one or more of the following books.
- Introduction to Bioinformatics (2019)
- Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools (2015)
- Bioinformatics with Python Cookbook: Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology, 2nd Edition (2018)
- Python for Biologists: A complete programming course for beginners (2013)
- Introduction to Bioinformatics (2014)
- Understanding Bioinformatics (2007)
- Bioinformatics For Dummies (2006)
- R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (2017)
- Exploring Bioinformatics: A Project-Based Approach (2013)
- Concepts in Bioinformatics and Genomics (2016)
- Bioinformatics Programming Using Python: Practical Programming for Biological Data (2009)
- Essential Bioinformatics (2006)
- Practical Bioinformatics (2012)
- Introduction to Bioinformatics in Microbiology (Learning Materials in Biosciences) (2018)
- Bioinformatics: Sequence and Genome Analysis (2004)
Active, accessible, and assuming no prior knowledge: the ideal text for biologists encountering bioinformatics for the first time.A vast amount of biological information about a wide range of species has become available in recent years as technological advances have significantly reduced the time it takes to sequence a genome or determine a novel protein structure.
This practical book teaches the skills that scientists need for turning large sequencing datasets into reproducible and robust biological findings. Many biologists begin their bioinformatics training by learning scripting languages like Python and R alongside the Unix command line.
Bioinformatics with Python Cookbook: Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology, 2nd Edition (2018)
Key Features Book Description Bioinformatics is an active research field that uses a range of simple-to-advanced computations to extract valuable information from biological data. This book covers next-generation sequencing, genomics, metagenomics, population genetics, phylogenetics, and proteomics. You’ll learn modern programming techniques to analyze large amounts of biological data.
Learning to program is one of the best investments that you can make for your research and your career. Python for biologists is a complete programming course for beginners that will give you the skills you need to tackle common biological and bioinformatics problems. Maybe you see colleagues writing programs to save time and deal with large datasets.
Fully revised and updated, the fourth edition of Introduction to Bioinformatics shows how bioinformatics can be used as a powerful set of tools for retrieving and analyzing this biological data, and how bioinformatics can be applied to a wide range of disciplines such as molecular biology, medicine, biotechnology, forensic science, and anthropology. This new edition contains two new chapters, with significantly increased coverage of metabolic pathways, and gene expression and regulation.
Understanding Bioinformatics (2007)
Suitable for advanced undergraduates and postgraduates, Understanding Bioinformatics provides a definitive guide to this vibrant and evolving discipline.
Bioinformatics For Dummies (2006)
Were you always curious about biology but were afraid to sit through long hours of dense reading? Did you like the subject when you were in high school but had other plans after you graduated? Now you can explore the human genome and analyze DNA without ever leaving your desktop!
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun.
Thoroughly revised and updated, Exploring Bioinformatics: A Project-Based Approach, Second Edition is intended for an introductory course in bioinformatics at the undergraduate level. Through hands-on projects, students are introduced to current biological problems and then explore and develop bioinformatic solutions to these issues.
Concepts in Bioinformatics and Genomics takes a conceptual approach to its subject, balancing biology, mathematics, and programming while highlighting relevant real-world applications and providing students with the tools to compute and analyze biological data.
Powerful, flexible, and easy to use, Python is an ideal language for building software tools and applications for life science research and development. This unique book shows you how to program with Python, using code examples taken directly from bioinformatics.
Essential Bioinformatics (2006)
Essential Bioinformatics is a concise yet comprehensive textbook of bioinformatics, which provides a broad introduction to the entire field. Written specifically for a life science audience, the basics of bioinformatics are explained, followed by discussions of the state-of-the-art computational tools available to solve biological research problems.
Practical Bioinformatics (2012)
Practical Bioinformatics is specifically designed for biology majors, with a heavy emphasis on the steps required to perform bioinformatics analysis to answer biological questions. It is written for courses that have a practical, hands-on element and contains many exercises (for example, database searches, protein analysis, data interpretation) to complement the straightforward and practical topics.
This textbook introduces to the basic concepts of bioinformatics and enhances students’ skills in using software and tools relevant for investigations in microbiology. The most relevant methods to analyze data are shown and readers are introduced on how to draw valid conclusions based on the results obtained. Software and servers which are free to use on the internet are presented and more advanced stand-alone programs are suggested as a second option.
As more species’ genomes are sequenced, computational analysis of these data has become increasingly important. The second, entirely updated edition of this widely praised textbook provides a comprehensive and critical examination of the computational methods needed for analyzing DNA, RNA, and protein data, as well as genomes.
Best Bioinformatics Books: The Ultimate Collection
We highly recommend you to buy all paper or e-books in a legal way, for example, on Amazon. But sometimes it might be a need to dig deeper beyond the shiny book cover. Before making a purchase, you can visit resources like Library Genesis and download some bioinformatics books mentioned below at your own risk. Once again, we do not host any illegal or copyrighted files, but simply give our visitors a choice and hope they will make a wise decision.
Advances in Bioinformatics and Computational Biology: 13th Brazilian Symposium on Bioinformatics, BSB 2020, São Paulo, Brazil, November 23–27, 2020, Proceedings
Author(s): João C. Setubal; Waldeyr Mendes da Silva
ID: 2857922, Publisher: Springer, Year: 2021, Size: 33 Mb, Format: pdf
Translational Bioinformatics for Therapeutic Development
Author(s): Joseph Markowitz
ID: 2876848, Publisher: Springer US;Humana, Year: 2021, Size: 12 Mb, Format: pdf
Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020)
Author(s): Gabriella Panuccio, Miguel Rocha, Florentino Fdez-Riverola, Mohd Saberi Mohamad, Roberto Casado-Vara
ID: 2888384, Publisher: Springer International Publishing;Springer, Year: 2021, Size: 15 Mb, Format: pdf
Please note that this booklist is not definite. Some books are truly best-sellers according to USA Today, others are drafted by unknown authors. On top of that, you can always find additional tutorials and courses on Coursera, Udemy or edX, for example. Are there any other relevant links you could recommend? Drop a comment if you have any feedback on the list.