[Télécharger] Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools (English Edition) de Vince Buffalo Livres Pdf Epub

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Auteur : Vince Buffalo
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Langue : Français, Anglais


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 Makefiles

Télécharger Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools (English Edition) de Vince Buffalo Livres Pdf Epub


Bioinformatics Data Skills: Reproducible and Robust ~ Rigorous assessment of data quality and of the effectiveness of tools is the foundation of reproducible and robust bioinformatics analysis. Through open source and freely available tools, you'll learn not only how to do bioinformatics, but how to approach problems as a bioinformatician.

Bioinformatics Data Skills: Reproducible and Robust ~ 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.

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