Register training material
3 materials found

Keywords: SummarizedExperiment  or introduction 

and

Authors: Obi Griffith  or blankclemens  or Martin Morgan  or Bruno Gaeta  or Yo Yehudi  or Will Hsiao 


Lab 1: Introduction to R and Bioconductor

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Keywords: introduction

Lab 1: Introduction to R and Bioconductor https://tess.elixir-europe.org/materials/lab-1-introduction-to-r-and-bioconductor Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. introduction
Lecture 1: Introduction to R and Bioconductor

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Keywords: introduction

Lecture 1: Introduction to R and Bioconductor https://tess.elixir-europe.org/materials/lecture-1-introduction-to-r-and-bioconductor Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. introduction
Working with Data: SummarizedExperiment

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Keywords: SummarizedExperiment

Working with Data: SummarizedExperiment https://tess.elixir-europe.org/materials/working-with-data-summarizedexperiment Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. SummarizedExperiment