Learning Objectives: |
Identify the main steps in a differential expression workflow |
Learn about the example dataset |
Organize a computational project |
Retrieve data from public databases |
Distinguish between types of parallel analysis |
Run tasks in parallel with GNU Parallel |
Run tasks in parallel with SLURM arrays |
Perform initial QC |
Align data against a reference genome |
Perform alignment QC |
Manipulate alignments in SAM/BAM format |
Manipulate annotation files in GTF/GFF3 format |
Quantify gene expression using reference alignments and a genome annotation |