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  • Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools

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Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools

4.6 out of 5 stars (140)

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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

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Editorial Reviews

About the Author

Vince Buffalo is currently a first-year graduate student studying population genetics in Graham Coop's lab at UC Davis in the Population Biology Graduate Group. Before starting his PhD in population genetics, Vince worked professionally as a bioinformatician in the Bioinformatics Core at the UC Davis Genome Center and in the Department of Plant Sciences. An obsessive programmer since he was a young teenager, Vince was drawn to the statistical and computational problems of genomics. He works on open source bioinformatics tools in his work and free time, and enjoys fly fishing and cooking when away from the computer.

Product details

  • 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)
  • Customer Reviews:
    4.6 out of 5 stars (140)

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Customer reviews

4.6 out of 5 stars
140 global ratings
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Customers say

Customers find this book to be a great introduction to bioinformatics, with one mentioning it's particularly useful for NGS data analysis. The writing style receives positive feedback, with customers describing it as a carefully written intermediate text.
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22 customers mention content, 19 positive, 3 negative
Customers find this book to be a great starting point for bioinformatics, with one customer noting it's particularly useful for NGS data analysis. They appreciate its content, with one mentioning it contains many useful tidbits of information.
Good book. Arrive promptly and undamagedRead more
Great resource for learning your way around linux based systems in relation to bioinformatics/genomic analysis tools....Read more
The book is a gem. The clear and unambiguous description of technical details sets it apart from many similar volumes....Read more
Very useful book for any bioinformatics students to conduct reproducible research!Read more
6 customers mention writing style, 5 positive, 1 negative
Customers appreciate the writing style of the book, describing it as a carefully written intermediate text.
The book is well writtenRead more
Such a well written and easy to follow book for bioinformaticians with low-intermediate programming knowledge....Read more
...-intermediate level coverage of numerous aspects with well written explanations and examples.Read more
It's one of the most readable books in bioinformatics. It's concise and has a nice balance of range vs. depth....Read more

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, 2020
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    It'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 helpful
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  • 5 out of 5 stars
    Great reference for beginning unix and remote machine skills for bioinformatics
    Reviewed in the United States on December 8, 2019
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    I 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 helpful
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  • 4 out of 5 stars
    great book, not for beginners though
    Reviewed in the United States on August 29, 2019
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    This 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 helpful
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  • 5 out of 5 stars
    Great book for learning NGS data analysis, not for true beginners.
    Reviewed in the United States on October 23, 2015
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    I 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 helpful
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  • 5 out of 5 stars
    A must-have in the field bioinformatics
    Reviewed in the United States on September 21, 2022
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    The 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.

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  • 5 out of 5 stars
    A must read for early bioinformaticians
    Reviewed in the United States on June 26, 2020
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    Such a well written and easy to follow book for bioinformaticians with low-intermediate programming knowledge. I recommend this book to all of my mentees.

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  • 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, 2016
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    The 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 helpful
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  • 5 out of 5 stars
    Great resource for learning your way around linux based systems ...
    Reviewed in the United States on April 3, 2017
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    Great 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.

    One person found this helpful
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  • 5 out of 5 stars
    Awesome guide to best practices in bioinformatics and coding in general
    Reviewed in the United Kingdom on February 27, 2021
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    I 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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  • 5 out of 5 stars
    Un vrai trésor
    Reviewed in France on January 17, 2019
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    Un 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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  • 5 out of 5 stars
    Nice first step in Bioinformatics
    Reviewed in Spain on November 22, 2015
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    Great 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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  • 4 out of 5 stars
    Produto danificado
    Reviewed in Brazil on January 29, 2026
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    O conteúdo do livro em si é ótimo

    A grande questão é a entrega da Amazon que danificou bastante o produto

    Produto danificado
    Produto danificado
    4 out of 5 stars
    Produto danificado
    Reviewed in Brazil on January 29, 2026

    O conteúdo do livro em si é ótimo

    A grande questão é a entrega da Amazon que danificou bastante o produto

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  • 5 out of 5 stars
    Necesidad
    Reviewed in Mexico on June 11, 2026
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    Excelente libro, no me esperaba que fuera de bolsillo, el tamaño está súper bien y es un libro muy útil.

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