Training materials
Target audience: Biologists, Genomicists, Computer Scientists
and Authors: Brian Haas or Carl Virtanen or Lincoln Stein or Michelle Brazas or allegra.via Via
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Pathways and Network Analysis of -Omics data 2018 Module 4-More Depth on Network and Pathway Analysis
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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 9-Gene Fusion and Rearrangements
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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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Bioinformatics of Genomic Medicine 2017 Module 4-Translating Research Workflows into Clinical Tests
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Introduction to Biopython
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RNA-seq Analysis 2014 Module 4 - Isoform discovery and alternative expression
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RNA-seq Analysis 2014 Module 3 - Expression and Differential Expression