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Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools
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Learn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings. With this practical guide, youâ??ll learn how to use freely available open source tools to extract meaning from large complex biological data sets.
At no other point in human history has our ability to understand lifeâ??s complexities been so dependent on our skills to work with and analyze data. This intermediate-level book teaches the general computational and data skills you need to analyze biological data. If you have experience with a scripting language like Python, youâ??re ready to get started.
- Go from handling small problems with messy scripts to tackling large problems with clever methods and tools
- Process bioinformatics data with powerful Unix pipelines and data tools
- Learn how to use exploratory data analysis techniques in the R language
- Use efficient methods to work with genomic range data and range operations
- Work with common genomics data file formats like FASTA, FASTQ, SAM, and BAM
- Manage your bioinformatics project with the Git version control system
- Tackle tedious data processing tasks with with Bash scripts and Makefiles
- ISBN-101449367372
- ISBN-13978-1449367374
- Edition1st
- PublisherO'Reilly Media
- Publication dateAugust 18, 2015
- LanguageEnglish
- Dimensions7 x 1.25 x 9 inches
- Print length536 pages
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- Publisher : O'Reilly Media
- Publication date : August 18, 2015
- Edition : 1st
- Language : English
- Print length : 536 pages
- ISBN-10 : 1449367372
- ISBN-13 : 978-1449367374
- Item Weight : 2.05 pounds
- Dimensions : 7 x 1.25 x 9 inches
- Best Sellers Rank: #1,011,430 in Books (See Top 100 in Books)
- #274 in Bioinformatics (Books)
- #2,267 in Software Development (Books)
- Customer Reviews:
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Top reviews from the United States
- 5 out of 5 stars
Covers mot (all) of the basic skills at the intermediate level
Reviewed in the United States on August 31, 2020It's one of the most readable books in bioinformatics. It's concise and has a nice balance of range vs. depth.
The author is very adept at leading the audience into a topic in a step-by-step fashion, probably due to his experience in interacting with people who want to get into bioinformatics but only have very limited knowledge of unix and programing. For instance, although he pointed out that SQL was beyond the scope of this book, he nonetheless introduced a series of sqlite operations that should suffice for most research projects except those aiming at providing complex database for large group.
Highly recommended for scientists with background in biology but want to get into data analysis.
4 people found this helpfulSending feedback...Sending feedback...HelpfulThank you for your feedback.Sorry, we failed to record your vote. Please try againThanks, we'll investigate in the next few days.Sorry, We failed to report this review. Please try again - 5 out of 5 stars
Great reference for beginning unix and remote machine skills for bioinformatics
Reviewed in the United States on December 8, 2019I definitely recommend this book. I've started doing more bioinformatics at work. This chapters on unix tools and remote machines were directly applicable to the work I do, and they're mostly arranged in the order you would need them in. I also quite appreciate his editorializing on how to set up directory structures for more reproducible research.
The negative I would say is that I've had trouble motivating myself to go through the middle third of the book ("Introduction to R" and "Range Data") chapters. While proper programmers can and do float easily among languages, and I strongly appreciate the Unix chapters, it feels like people fall more into R or Python camps, and while I could be wrong, I don't feel like I should really need to add R at this time.
2 people found this helpfulSending feedback...Sending feedback...HelpfulThank you for your feedback.Sorry, we failed to record your vote. Please try againThanks, we'll investigate in the next few days.Sorry, We failed to report this review. Please try again - 4 out of 5 stars
great book, not for beginners though
Reviewed in the United States on August 29, 2019This book contains a lot of tidbits of info I wish I knew when I started learning bioinformatics. I wouldn't really say it's a cookbook that'll take you through your analysis step by step, nor is it for beginners; but it teaches practical knowledge and good data analysis and record keeping practices. It's a little densely written, and definitely not a primary resource, but a good reference nonetheless.
4 people found this helpfulSending feedback...Sending feedback...HelpfulThank you for your feedback.Sorry, we failed to record your vote. Please try againThanks, we'll investigate in the next few days.Sorry, We failed to report this review. Please try again - 5 out of 5 stars
Great book for learning NGS data analysis, not for true beginners.
Reviewed in the United States on October 23, 2015I feel strongly obligated to commend this book. This is a wonderful compendium that helps those who already know a bit of Python/R languages to quickly pick up speed in dealing with next-gen sequencing data. Many of the practical tips are not easily available elsewhere. Some potential buyers may be distanced noticing the fact that the author is a new graduate student in population genetics. Please don't worry. The author is also a senior bioinformatician who is so generously sharing his truly practical insights and skills with NGS data. Fresh and up-to-date! On the other hand, it's only fair to note this book is not for those who are truly beginners to bioinformatics, especially those without any Linux/Python/R skills.
16 people found this helpfulSending feedback...Sending feedback...HelpfulThank you for your feedback.Sorry, we failed to record your vote. Please try againThanks, we'll investigate in the next few days.Sorry, We failed to report this review. Please try again - 5 out of 5 stars
A must-have in the field bioinformatics
Reviewed in the United States on September 21, 2022The content of this book is very broad and seemingly unrelated to each other. It covers basic command line, git, R and some commonly used software such as samtools and bcftools. It also teaches important working concept of bioinfo, such as reproducible research.
Sending feedback...Sending feedback...HelpfulThank you for your feedback.Sorry, we failed to record your vote. Please try againThanks, we'll investigate in the next few days.Sorry, We failed to report this review. Please try again - 5 out of 5 stars
A must read for early bioinformaticians
Reviewed in the United States on June 26, 2020Such a well written and easy to follow book for bioinformaticians with low-intermediate programming knowledge. I recommend this book to all of my mentees.
Sending feedback...Sending feedback...HelpfulThank you for your feedback.Sorry, we failed to record your vote. Please try againThanks, we'll investigate in the next few days.Sorry, We failed to report this review. Please try again - 5 out of 5 stars
A carefully written intermediate text with valuable advice for all who work with large data sets in biology.
Reviewed in the United States on June 9, 2016The book is a gem. The clear and unambiguous description of technical details sets it apart from many similar volumes. The author's wise advice on good practice could save many a researcher time and trouble in the long run.
5 people found this helpfulSending feedback...Sending feedback...HelpfulThank you for your feedback.Sorry, we failed to record your vote. Please try againThanks, we'll investigate in the next few days.Sorry, We failed to report this review. Please try again - 5 out of 5 stars
Great resource for learning your way around linux based systems ...
Reviewed in the United States on April 3, 2017Great resource for learning your way around linux based systems in relation to bioinformatics/genomic analysis tools. Everything is followed through step-by-step and doesn't leave you wondering why something was done, while at the same time it doesn't keep teaching you past commands unnecessarily.
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Top reviews from other countries
Elmira Ahmedova5 out of 5 starsAwesome guide to best practices in bioinformatics and coding in general
Reviewed in the United Kingdom on February 27, 2021I bought this book to get a feel for what exactly is bioinformatics as I aspire to get into this area (I have a science degree and am working as a Data Engineer following bootcamp training - to get computational skills and experience) an to my opinion it does give a decent reality check - it is about reproducibility, project folder structure, a lot of shell scripting, becoming familiar with Linux etc (you can tell I didn't get further than Chapter 4 yet!). Anyway, great read, super happy with the purchase!
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Optisoins5 out of 5 starsUn vrai trésor
Reviewed in France on January 17, 2019Un livre fantastique, une vrai bible pour tous ceux qui souhaitent apprendre la philosophie des analyses bio-informatques. Je continue de lire et relire ce fabuleux livre !
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Audald Lloret i Villas5 out of 5 starsNice first step in Bioinformatics
Reviewed in Spain on November 22, 2015Great for beginners, looking forward to have some spare time and go deeper. My biological background is taken into account and the explanation is easy to follow.
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Thaís de Andrade Moura4 out of 5 starsProduto danificado
Reviewed in Brazil on January 29, 2026O conteúdo do livro em si é ótimo
A grande questão é a entrega da Amazon que danificou bastante o produto

4 out of 5 starsProduto danificado
Reviewed in Brazil on January 29, 2026O conteúdo do livro em si é ótimo
A grande questão é a entrega da Amazon que danificou bastante o produto
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Diego Gael Alvarado Palacios5 out of 5 starsNecesidad
Reviewed in Mexico on June 11, 2026Excelente libro, no me esperaba que fuera de bolsillo, el tamaño está súper bien y es un libro muy útil.
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