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

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

Vince Buffalo

4.9/5 (33972 ratings)

Description: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 toolsProcess bioinformatics data with powerful Unix pipelines and data toolsLearn how to use exploratory data analysis techniques in the R languageUse efficient methods to work with genomic range data and range operationsWork with common genomics data file formats like FASTA, FASTQ, SAM, and BAMManage your bioinformatics project with the Git version control systemTackle tedious data processing tasks with with Bash scripts and MakefilesWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools. To get started finding Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: 538

Format: PDF, EPUB & Kindle Edition

Publisher: O'Reilly Media

Release: 2015

ISBN: 1449367518

Description: 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 toolsProcess bioinformatics data with powerful Unix pipelines and data toolsLearn how to use exploratory data analysis techniques in the R languageUse efficient methods to work with genomic range data and range operationsWork with common genomics data file formats like FASTA, FASTQ, SAM, and BAMManage your bioinformatics project with the Git version control systemTackle tedious data processing tasks with with Bash scripts and MakefilesWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools. To get started finding Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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

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

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