Overview
- How are reviewers describing this item?
great, good, written, practical and many. - Our engine has profiled the reviewer patterns and has determined that there is minimal deception involved.
- Our engine has determined that the review content quality is high and informative.
- Our engine has discovered that over 90% high quality reviews are present.
- This product had a total of 71 reviews as of our last analysis date on Apr 6 2021.
Helpful InsightsBETA
BETA
Posted by a reviewer on Amazon
The clear and unambiguous description of technical details sets it apart from many similar volumes.
Posted by a reviewer on Amazon
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
Posted by a reviewer on Amazon
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.
Posted by a reviewer on Amazon
Data science is the hottest ticket in town for tech jobs these days.
Posted by a reviewer on Amazon
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.
Posted by a reviewer on Amazon
Some potential buyers may be distanced noticing the fact that the author is a new graduate student in population genetics.
Posted by a reviewer on Amazon
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.