Ideology : data skills for robust and reproducible bioinformatics. How to learn bioinformatics -- Prerequisites : essential skills for getting started with a bioinformatics project. Setting up and managing a bioinformatics project -- Remedial Unix shell -- Working with remote machines -- Git for scientists -- Bioinformatics data -- Practice : bioinformatics data skills. Unix data tools -- A rapid introduction to the R language -- Working with range data -- Working with sequence data -- Working with alignment data -- Bioinformatics shell scripting, writing pipelines, and parallelizing tasks -- Out-of-memory approaches : Tabix and SGLite.
Includes bibliographical references )pages 479-482( and index.