Bioinformatics Data Skills – Reproducible and Robust Research with Open Source Tools (2015) Vince Buffalo

Description

This practical guide teaches intermediate-level computational and data skills necessary for bioinformatics research. It shows how to use freely available open source tools to extract meaning from large, complex biological datasets, focusing on reproducibility and robust findings. Topics include processing data with Unix pipelines, exploratory data analysis in R, working with genomic range data, handling common genomics file formats (FASTA, FASTQ, SAM, BAM), and managing projects with the Git version control system.