- Generating indices for alignment with STAR from species reference genomes
- Aligning zipped FASTQ files (.gz) to the reference genome index and quantifying counts on the gene or transcript level
- Collating counts and running QC on alignment BAM files
DESeq on gene- or transcript-level counts
Run pathway analysis on DEG results using the Enrichr API
- Run MEGENA on expression data to identify gene co-expression modules
- Calculate eigengenes of specific modules for each sample and correlate them with other sample-level measurements
- Calculate module differential connectivity between experimental groups
- Pathway/ontology enrichment analyses on modules
- Network analysis measures (e.g., betweenness centrality)
- Dampened weighted least squares for single-cell deconvolution using a reference single-cell RNA-seq dataset
- Cell-type aware RNA-seq to run differential expression analysis on deconvolved cell fractions