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Authors: Laurent Gatto 


Proteomics

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...

Scientific topics: Proteomics

Proteomics https://tess.elixir-europe.org/materials/proteomics 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. Proteomics
R / Bioconductor packages for Proteomics

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...

Scientific topics: Proteomics

R / Bioconductor packages for Proteomics https://tess.elixir-europe.org/materials/r-bioconductor-packages-for-proteomics 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. Proteomics
Lecture: Introduction to MS based proteomics and Bioconductor infrastructure

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...

Scientific topics: Proteomics

Lecture: Introduction to MS based proteomics and Bioconductor infrastructure https://tess.elixir-europe.org/materials/lecture-introduction-to-ms-based-proteomics-and-bioconductor-infrastructure 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. Proteomics
Lab: Reproducible Research and R Authoring with markdown and knitr

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: ReproducibleResearch

Lab: Reproducible Research and R Authoring with markdown and knitr https://tess.elixir-europe.org/materials/lab-reproducible-research-and-r-authoring-with-markdown-and-knitr 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. ReproducibleResearch
R / Bioconductor tools for mass spectrometry-based proteomics

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...

Scientific topics: Proteomics

R / Bioconductor tools for mass spectrometry-based proteomics https://tess.elixir-europe.org/materials/r-bioconductor-tools-for-mass-spectrometry-based-proteomics 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. Proteomics