7 materials found
Keywords:
Intro
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
https://tess.elixir-europe.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
https://tess.elixir-europe.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
https://tess.elixir-europe.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
https://tess.elixir-europe.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
https://tess.elixir-europe.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
https://tess.elixir-europe.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
https://tess.elixir-europe.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