Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools 1st Edition, Kindle Edition

by Vince Buffalo (Author)

19 customer reviews

ISBN-13: 978-1449367374

ISBN-10: 1449367372

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Learn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings. With this practical guide, you’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 life’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, you’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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Product details

File Size: 11904 KB
Print Length: 538 pages
Simultaneous Device Usage: Unlimited
Publisher: O'Reilly Media; 1 edition (July 1, 2015)
Publication Date: July 1, 2015
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B010RHZ208
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Amazon Best Sellers Rank: #307,836 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
- #44 in Kindle Store > Kindle eBooks > Nonfiction > Science > Biological Sciences > Biochemistry
- #78 in Books > Computers & Technology > Computer Science > Bioinformatics
- #125 in Kindle Store > Kindle eBooks > Computers & Technology > Programming > Open Source

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A carefully written intermediate text with valuable advice for all who work with large data sets in biology.

June 9, 2016

Format: PaperbackVerified Purchase

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

Comment

nice range of topics

October 13, 2016

Format: PaperbackVerified Purchase

Chose this book for a class in bioinformatics,

Pros: great range of topics covered: bash shell, git, ssh, working with data, data compression

Cons: the author is a little long winded and and it does not have great examples

2 people found this helpful

Comment

Great resource for learning your way around linux based systems ...

April 3, 2017

Format: PaperbackVerified Purchase

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

Comment

September 9, 2017

Format: PaperbackVerified Purchase

Bioinformatic Data skills ...but aware this is a book for bioinformaticians but not for wet lab scientists

One person found this helpful

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Zachary Shields

Great book for learning NGS data analysis, not for true beginners.

October 23, 2015

Format: PaperbackVerified Purchase

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.

14 people found this helpful

Comment

Nathan B. Smith

Bioinformatics and Data Science: Great learning experience!

January 24, 2017

Format: PaperbackVerified Purchase

Data science is the hottest ticket in town for tech jobs these days. Bioinformatics is a great practical use of data science. What better way to learn data science?

Comment

Good starting point for an amateur (but not novice)

August 15, 2017

Format: PaperbackVerified Purchase

A good text for the amateur bioinformatician or the journeyman looking to improve their overall approach. Not meant for the novice with little command line experience. The book provides an overview of many broad topics as opposed to specific tools, and the author does a good job of emphasizing reproducibility, which is surprisingly poorly practiced in the field. Recommended.

2 people found this helpful

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Amazon Customer

April 15, 2017

Format: PaperbackVerified Purchase

The book is well written

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