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

Bioinformatics data skills: [reproducibl

📁 Bioinformatics data skills: [reproducible and robust research with open source tools]

✍ O'Reilly Media.;Buffalo, Vince 📂 Library 📅 2015 🏛 O'Reilly Media, Inc. 🌐 English

Learn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings. With this practical guide, youll learn how to use freely available open source tools to extract meaning from large complex biological data sets.

Bioinformatics Data Skills: Reproducible

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

✍ Vince Buffalo 📂 Library 📅 2015 🏛 O’Reilly Media 🌐 English

Bioinformatics Data Skills: Reproducible

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

✍ Vince Buffalo 📂 Library 📅 2015 🏛 O'Reilly Media 🌐 English

<div>This practical book teaches the skills that scientists need for turning large sequencing datasets into reproducible and robust biological findings. Many biologists begin their bioinformatics training by learning scripting languages like Python and R alongside the Unix command line. But there's

Bioinformatics Data Skills: Reproducible

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

✍ Vince Buffalo 📂 Library 📅 2015 🏛 O’Reilly Media 🌐 English

This practical book teaches the skills that scientists need for turning large sequencing datasets into reproducible and robust biological findings. Many biologists begin their bioinformatics training by learning scripting languages like Python and R alongside the Unix command line. But there's a hug

Bioinformatics Data Skills: Reproducible

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

✍ Vince Buffalo 📂 Library 📅 2015 🏛 O'Reilly Media 🌐 English

<div>This practical book teaches the skills that scientists need for turning large sequencing datasets into reproducible and robust biological findings. Many biologists begin their bioinformatics training by learning scripting languages like Python and R alongside the Unix command line. But there's

Data Analysis with Open Source Tools

📁 Data Analysis with Open Source Tools

✍ Philipp K. Janert 📂 Library 📅 2010 🏛 O'Reilly Media 🌐 English

These days it seems like everyone is collecting data. But all of that data is just raw information -- to make that information meaningful, it has to be organized, filtered, and analyzed. Anyone can apply data analysis tools and get results, but without the right approach those results may be useless