Bioinformatics data skills /
Buffalo, Vince.
Bioinformatics data skills / Bioinformatics data skills : reproducible and robust research with open source tools Vince Buffalo. - 1st ed. - Sebastopol : O'Reilly, 2015. - xxv, 507 p. : ill. ; 24 cm.
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.
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.
9781449367374
2015458838
Bioinformatics.
Big data.
Database management.
Biology--Data processing.
Information science.
Database Management Systems.
005.7 / BUF
Bioinformatics data skills / Bioinformatics data skills : reproducible and robust research with open source tools Vince Buffalo. - 1st ed. - Sebastopol : O'Reilly, 2015. - xxv, 507 p. : ill. ; 24 cm.
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.
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.
9781449367374
2015458838
Bioinformatics.
Big data.
Database management.
Biology--Data processing.
Information science.
Database Management Systems.
005.7 / BUF