Bioinformatics data skills : reproducible and robust research with open source tools /

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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.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Buffalo, Vince (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Sebastopol, CA : O'Reilly, 2015.
Edición:First edition.
Temas:
Bioinformatics.
Big data.
Database management.
Biology > Data processing.
Information science.
Open source software.
Database Management Systems
Computational Biology
Bio-informatique.
Données volumineuses.
Bases de données > Gestion.
Biologie > Informatique.
Sciences de l'information.
Logiciels libres.
information science.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 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.

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