Training materials
Target audience: Any students, postdocs or RAs who have an inter... or Researchers or healthcare professionals
and Authors: Aurélien Ginolhac or Brian Haas or Jüri Reimand
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course materials
Data processing with R tidyverse
•• intermediateR-programming -
Informatics for RNA-Seq Analysis 2018 Module 6-Functional Annotation and Analysis of Transcripts
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Informatics for RNA-Seq Analysis 2018 Module 5-Genome Guided and Genome-free Transcriptome Assembly
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Bioinformatics for Cancer Genomics 2018 Module 13-Genes to Pathways
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Informatics for RNA-Seq Analysis 2017 Module 7-Functional Annotation and Analysis of Transcripts
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Informatics for RNA-Seq Analysis 2017 Module 6-Genome-free De Novo Transcriptome Assembly
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High-Throughput Biology 2017 Module 13-Finding Over-Represented Pathways
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High-Throughput Biology 2017 Module 12-Introduction to Pathway and Network Analysis