Bioinformatics Data Skills
Reproducible and Robust Research with Open Source Tools
|Price||$32.29 - $45.99
|Format||Paper book / ebook (PDF)|
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.
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by Carl Allchin
Data is a fantastic raw resource for powering change in an organization, but all too often the people working in those organizations don't have the necessary skills to communicate with data effectively. With this practical book, subject matter experts will learn ways to develop strong, persuasive points when presenting data to differ...
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by Tiago Antao
If you are either a computational biologist or a Python programmer, you will probably relate to the expression "explosive growth, exciting times". Python is arguably the main programming language for big data, and the deluge of data in biology, mostly from genomics and proteomics, makes bioinformatics one of the most exc...
Price: $54.99 | Publisher: Packt Publishing | Release: 2015
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Price: $39.99 | Publisher: Packt Publishing | Release: 2018
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Price: $40.99 | Publisher: Addison-Wesley | Release: 2018
by Tim Roadley
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Price: $3.72 | Publisher: Addison-Wesley | Release: 2013
by Simon A. Kingaby
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Price: $36.66 | Publisher: Apress | Release: 2022
by Daniel Vaughan
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Price: $51.99 | Publisher: O'Reilly Media | Release: 2020
by Rafael A Irizarry
The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. This book introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression and machine learning. It also helps you develop ski...
Free ebook | Publisher: Leanpub | Release: 2019