5 materials found

Authors: Brian Haas 


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://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. 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://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. 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://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. 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://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. 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://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. Researchers Biologists, Genomicists, Computer Scientists Graduate Students Post-Doctoral Fellows