Learn the data skills necessary for turning large sequencing datasets into reproducible & 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 & analyze data This intermediate-level book teaches the general computational & 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 & tools Process bioinformatics data with powerful Unix pipelines & data tools Learn how to use exploratory data analysis techniques in the R language Use efficient methods to work with genomic range data & range operations Work with common genomics data file formats like FASTA FASTQ SAM & BAM Manage your bioinformatics project with the Git version control system Tackle tedious data processing tasks with with Bash scripts & Makefiles