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Product details
File Size: 11842 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:
#552,198 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
Chose this book for a class in bioinformatics,Pros: great range of topics covered: bash shell, git, ssh, working with data, data compressionCons: the author is a little long winded and and it does not have great examples
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.
Bioinformatic Data skills ...but aware this is a book for bioinformaticians but not for wet lab scientists
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.
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.
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?
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.
The book is well written
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