Complete workflow from small RNA-seq FASTQ to differential miRNA expression and target prediction.
# CLI tools
conda install -c bioconda cutadapt mirdeep2 miranda
# R packages
BiocManager::install('DESeq2')- "Analyze my small RNA-seq data for differential miRNAs"
- "Run the miRNA pipeline from FASTQ to targets"
- "Process my miRNA sequencing end-to-end"
"Run the complete small RNA-seq pipeline"
"Find differentially expressed miRNAs between my conditions"
"Just run miRDeep2 quantification"
"Predict targets for my differentially expressed miRNAs"
- Trim adapters and filter by size (cutadapt)
- Align to genome (mapper.pl)
- Quantify known and novel miRNAs (miRDeep2)
- Run differential expression (DESeq2)
- Predict mRNA targets (miRanda)
- Generate QC and summary reports
- Adapter - Check your kit's 3' adapter sequence
- Size filter - 18-30nt captures miRNAs (21-23nt peak)
- Novel miRNAs - Require structural validation
- Target prediction - Filter by binding energy and conservation
- Multiple testing - Use adjusted p-values (padj < 0.05)