Evening session: Efficient R
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...
Evening session: Efficient R
https://bioconductor.org/help/course-materials/2019/CSAMA/efficient_r.html
http://tess.elixir-uk.org/materials/evening-session-efficient-r
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.
Martin Morgan
Big data
Lab 9-1: Efficient and Parallel Evaluation
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...
Lab 9-1: Efficient and Parallel Evaluation
https://bioconductor.org/help/course-materials/2019/CSAMA/L9.1-efficient-and-parallel-r.html
http://tess.elixir-uk.org/materials/lab-9-1-efficient-and-parallel-evaluation
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.
Martin Morgan
Big data
Lecture 20-1: Working with Large Data
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...
Lecture 20-1: Working with Large Data
https://bioconductor.org/help/course-materials/2019/CSAMA/lecture-20-1-big-data.html
http://tess.elixir-uk.org/materials/lecture-20-1-working-with-large-data
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.
Martin Morgan
Big data
Lecture 19: Gene Set Enrichment Analysis
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...
Lecture 19: Gene Set Enrichment Analysis
https://bioconductor.org/help/course-materials/2019/CSAMA/lecture-19-gene-set-enrichment.pdf
http://tess.elixir-uk.org/materials/lecture-19-gene-set-enrichment-analysis
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.
Martin Morgan
GSEA
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...
Lab 1: Introduction to R and Bioconductor
https://bioconductor.org/help/course-materials/2019/CSAMA/lab-1-intro-to-r-bioc.html
http://tess.elixir-uk.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.
Martin Morgan
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...
Lecture 1: Introduction to R and Bioconductor
https://bioconductor.org/help/course-materials/2019/CSAMA/lecture-01-r-intro.html
http://tess.elixir-uk.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.
Martin Morgan
introduction
06: Gene Set Enrichment Analysis
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...
06: Gene Set Enrichment Analysis
https://bioconductor.org/help/course-materials/2019/BSS2019/06_GeneSetEnrichment.html
http://tess.elixir-uk.org/materials/06-gene-set-enrichment-analysis
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.
Martin Morgan
Intro
06: Gene Set Enrichment -- Introduction
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...
06: Gene Set Enrichment -- Introduction
https://bioconductor.org/help/course-materials/2019/BSS2019/06_GeneSetEnrichmentSlides.pdf
http://tess.elixir-uk.org/materials/06-gene-set-enrichment-introduction
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.
Martin Morgan
Intro
05: Bioconductor Annotation Resources
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...
05: Bioconductor Annotation Resources
https://bioconductor.org/help/course-materials/2019/BSS2019/05_Annotations.html
http://tess.elixir-uk.org/materials/05-bioconductor-annotation-resources
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.
Martin Morgan
Intro
04: Practical: Organizing data with 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...
04: Practical: Organizing data with SummarizedExperiment
https://bioconductor.org/help/course-materials/2019/BSS2019/04_Practical_CoreApproachesInBioconductor.html
http://tess.elixir-uk.org/materials/04-practical-organizing-data-with-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.
Martin Morgan
Intro
03: Core approaches in 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...
03: Core approaches in Bioconductor
https://bioconductor.org/help/course-materials/2019/BSS2019/03_CoreApproachesInBioconductor.html
http://tess.elixir-uk.org/materials/03-core-approaches-in-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.
Martin Morgan
Intro
02: Practical: R / Bioconductor and Reproducible Research
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...
02: Practical: R / Bioconductor and Reproducible Research
https://bioconductor.org/help/course-materials/2019/BSS2019/02_Practical_RBioconductorAndReproductibleResearch.html
http://tess.elixir-uk.org/materials/02-practical-r-bioconductor-and-reproducible-research
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.
Martin Morgan
Intro
01: 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...
01: Introduction to R and Bioconductor
https://bioconductor.org/help/course-materials/2019/BSS2019/01_IntroToRAndBioconductor.html
http://tess.elixir-uk.org/materials/01-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.
Martin Morgan
Intro
Developing robust and efficient code
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...
Developing robust and efficient code
https://bioconductor.org/help/course-materials/2019/NURDS/NURDS.html
http://tess.elixir-uk.org/materials/developing-robust-and-efficient-code
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.
Martin Morgan
Workshop