Bioinformatics Data Skills; Reproducible and Robust Research with Open Source Tools 1st Edition

Master the essential data skills to transform large-scale sequencing data into reproducible, meaningful biological insights.
This hands-on guide introduces you to open source tools that help make sense of complex biological datasets. Designed for intermediate users, it equips you with practical techniques to move from writing basic, disorganized scripts to building efficient, scalable data workflows.

In today’s era of biology, the ability to analyze data is as crucial as experimental expertise. If you’re familiar with a scripting language like Python, you’re ready to begin.

What you’ll learn:

• Transition from simple scripting to solving big data problems with structured, efficient tools

• Leverage Unix pipelines and data utilities to process bioinformatics datasets

• Explore biological data with R and apply exploratory data analysis techniques

• Perform efficient genomic range operations

• Work with standard genomics file formats such as FASTA, FASTQ, SAM, and BAM

• Organize and manage your projects using Git for version control

• Automate repetitive processing with Bash scripting and Makefiles