Training materials
Target audience: rare disease patients representatives or Any student, postdoc or RA who has an interest ... or Post-Doctoral Fellows or database managers
and Authors: Brian Haas or Misha Bilenky
-
Epigenomic Data Analysis 2018 Module 2-ChIP-Seq Alignment, Peak Calling, and Visualization
-
Informatics for RNA-Seq Analysis 2018 Module 6-Functional Annotation and Analysis of Transcripts
-
Informatics for RNA-Seq Analysis 2018 Module 5-Genome Guided and Genome-free Transcriptome Assembly
-
Bioinformatics for Cancer Genomics 2018 Module 9-Gene Fusion and Rearrangements
-
Informatics for RNA-Seq Analysis 2017 Module 7-Functional Annotation and Analysis of Transcripts
-
Informatics for RNA-Seq Analysis 2017 Module 6-Genome-free De Novo Transcriptome Assembly
-
Epigenomic Data Analysis 2017 Module 2-ChIP-Seq Alignment, Peak Calling, and Visualization