Training materials
Target audience: Biologists or Post-Doctoral Fellows
and Authors: Bishwa Ghimire or Brian Haas or George Mihaiescu
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course materials
Single-cell RNA-seq data analysis with R 2022
•• intermediateRNA-Seq RNA-Seq Single Cell technologies scRNA-seq -
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 10-Sharing and Scaling a VM
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Bioinformatics for Cancer Genomics 2018 Module 9-Gene Fusion and Rearrangements
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Working with Big Cancer Data in the Collaboratory Cloud 2017 Module 1-Introduction to the Cancer Genome Collagboratory
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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