TY  - BOOK
AU  - Buffalo,Vince
TI  - Bioinformatics data skills
SN  - 9781449367374
U1  - 005.7 22
PY  - 2015///
CY  - Sebastopol
PB  - O'Reilly
KW  - Bioinformatics
KW  - BUEsh
KW  - Big data
KW  - Database management
KW  - Biology
KW  - Data processing
KW  - Information science
KW  - Database Management Systems
KW  - COMSCI
KW  - October2016
N1  - Index : p. 483-507; Includes glossary; Bibliography : p. 479-482; 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
N2  - 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 datasets. 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.
ER  -