Training materials
Difficulty level: Not specified
and Target audience: Post-Doctoral Fellows or beginner bioinformaticians
and Authors: Brian Haas or Lincoln Stein 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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Using R with Python
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Searching data using Python
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Pattern Matching
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Writing functions in Python programming
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