PLAZA is a plant-oriented online resource for comparative, evolutionary and functional genomics
PLAZA is a plant-oriented online resource for comparative, evolutionary and functional genomics.
[Materials](ftp://ftp.psb.ugent.be/pub/plaza/workshop/ELIXIR/)
Scientific topics: Plant biology, Functional genomics, Comparative genomics, Evolutionary biology, Phylogenomics, Genotype and phenotype
Operations: Annotation, Visualisation, Comparison
Keywords: plants, Plants bioinformatics, genomics, Visualisation, Annotation
Resource type: Training materials
PLAZA is a plant-oriented online resource for comparative, evolutionary and functional genomics
https://bioinformatics.psb.ugent.be/plaza/
https://tess.elixir-europe.org/materials/plaza-is-a-plant-oriented-online-resource-for-comparative-evolutionary-and-functional-genomics
PLAZA is a plant-oriented online resource for comparative, evolutionary and functional genomics.
[Materials](ftp://ftp.psb.ugent.be/pub/plaza/workshop/ELIXIR/)
Klaas Vandepoele
Michiel Van Bel
Emmelien Vancaester
Plant biology
Functional genomics
Comparative genomics
Evolutionary biology
Phylogenomics
Genotype and phenotype
plants, Plants bioinformatics, genomics, Visualisation, Annotation
Life Science Researchers
plant researchers
experimeintal biologist researchers
postdoctoral researchers
Research Assistants and Research Associates
PhD
Working with Ranges infrastructure: annotating and understanding regions
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...
Working with Ranges infrastructure: annotating and understanding regions
https://bioconductor.org/help/course-materials/2014/CSAMA2014/4_Thursday/labs/Annotation_lab.pdf
https://tess.elixir-europe.org/materials/working-with-ranges-infrastructure-annotating-and-understanding-regions
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
RNASeq 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...
RNASeq Analysis
https://bioconductor.org/help/course-materials/2014/SeattleFeb2014/RNASeq.pdf
https://tess.elixir-europe.org/materials/rnaseq-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
Working with gene and genome annotations
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...
Working with gene and genome annotations
https://bioconductor.org/help/course-materials/2014/CSAMA2014/3_Wednesday/lectures/Annotation_slides.pdf
https://tess.elixir-europe.org/materials/working-with-gene-and-genome-annotations
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
Annotations
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...
Annotations
https://bioconductor.org/help/course-materials/2014/SeattleFeb2014/Annotation_slides.pdf
https://tess.elixir-europe.org/materials/annotations
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
Accessing 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...
Accessing Annotation Resources
https://bioconductor.org/help/course-materials/2014/ISMB2014/Annotation_slides.pdf
https://tess.elixir-europe.org/materials/accessing-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
Bioconductor annotations: using and sharing 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...
Bioconductor annotations: using and sharing resources
https://bioconductor.org/help/course-materials//help/workflows/annotation/annotation/
https://tess.elixir-europe.org/materials/bioconductor-annotations-using-and-sharing-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.
Marc Carlson
Adding Annotation To Your 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...
Adding Annotation To Your Analysis
https://bioconductor.org/help/course-materials/2015/Uruguay2015/V4-Annotation.html
https://tess.elixir-europe.org/materials/adding-annotation-to-your-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
Annotating high throughput data using Bioconductor 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...
Annotating high throughput data using Bioconductor resources
https://bioconductor.org/help/course-materials/2016/BioC2016/ConcurrentWorkshops2/MacDonald/AnnotationWorkshop.html
https://tess.elixir-europe.org/materials/annotating-high-throughput-data-using-bioconductor-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.
James MacDonald
Understanding Bioconductor Annotation Packages
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...
Understanding Bioconductor Annotation Packages
https://bioconductor.org/help/course-materials/2017/BioC2017/Day2/Workshops/Anno/doc/AnnotationWorkshop.html
https://tess.elixir-europe.org/materials/understanding-bioconductor-annotation-packages
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.
James MacDonald
