Informatics for RNA-Seq Analysis 2018 Module 6-Functional Annotation and Analysis of Transcripts
Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.
Informatics for RNA-Seq Analysis 2018 Module 6-Functional Annotation and Analysis of Transcripts
https://bioinformaticsdotca.github.io/rnaseq_2018
https://tess.elixir-europe.org/materials/informatics-for-rna-seq-analysis-2018-module-6-functional-annotation-and-analysis-of-transcripts
Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.
Brian Haas
Researchers
Post-Doctoral Fellows
Biologists, Genomicists, Computer Scientists
Graduate Students
Informatics for RNA-Seq Analysis 2018 Module 5-Genome Guided and Genome-free Transcriptome Assembly
Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.
Informatics for RNA-Seq Analysis 2018 Module 5-Genome Guided and Genome-free Transcriptome Assembly
https://bioinformaticsdotca.github.io/rnaseq_2018
https://tess.elixir-europe.org/materials/informatics-for-rna-seq-analysis-2018-module-5-genome-guided-and-genome-free-transcriptome-assembly
Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.
Brian Haas
Researchers
Post-Doctoral Fellows
Biologists, Genomicists, Computer Scientists
Graduate students
Bioinformatics for Cancer Genomics 2018 Module 9-Gene Fusion and Rearrangements
Course covers the key bioinformatics concepts and tools required to analyze cancer genomic data sets and access and work with data sets in the cloud.
Bioinformatics for Cancer Genomics 2018 Module 9-Gene Fusion and Rearrangements
https://bioinformaticsdotca.github.io/bicg_2018
https://tess.elixir-europe.org/materials/bioinformatics-for-cancer-genomics-2018-module-9-gene-fusion-and-rearrangements
Course covers the key bioinformatics concepts and tools required to analyze cancer genomic data sets and access and work with data sets in the cloud.
Brian Haas
Researchers
Graduate students
Post-Doctoral Fellows
Biologists, Genomicists, Computer Scientists
Informatics for RNA-Seq Analysis 2017 Module 7-Functional Annotation and Analysis of Transcripts
Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.
Informatics for RNA-Seq Analysis 2017 Module 7-Functional Annotation and Analysis of Transcripts
https://bioinformaticsdotca.github.io/rnaseq_2017
https://tess.elixir-europe.org/materials/informatics-for-rna-seq-analysis-2017-module-7-functional-annotation-and-analysis-of-transcripts
Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.
Brian Haas
Researchers
Biologists, Genomicists, Computer Scientists
Graduate Students
Post-Doctoral Fellows
Informatics for RNA-Seq Analysis 2017 Module 6-Genome-free De Novo Transcriptome Assembly
Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.
Informatics for RNA-Seq Analysis 2017 Module 6-Genome-free De Novo Transcriptome Assembly
https://bioinformaticsdotca.github.io/rnaseq_2017
https://tess.elixir-europe.org/materials/informatics-for-rna-seq-analysis-2017-module-6-genome-free-de-novo-transcriptome-assembly
Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.
Brian Haas
Researchers
Biologists, Genomicists, Computer Scientists
Graduate Students
Post-Doctoral Fellows