Quantification with Salmon
Salmon performs fast, accurate transcript quantification using quasi-mapping. NotchBio runs Salmon automatically on your preprocessed reads.
Running Salmon
Section titled “Running Salmon”- Complete the preprocessing step first
- Navigate to the Quantification step
- Select the fastp version to use as input
- Click Run
What Salmon Does
Section titled “What Salmon Does”- Maps preprocessed reads to the reference transcriptome
- Quantifies transcript-level abundance
- Produces per-gene counts for downstream analysis
Key Output Metrics
Section titled “Key Output Metrics”- Reads processed — Total reads mapped
- Mapping rate — Percentage of reads that mapped to the transcriptome
- Genes detected — Number of genes with non-zero counts
Interpreting Results
Section titled “Interpreting Results”- Good mapping rate: > 70% for most organisms
- Low mapping rate may indicate contamination, wrong reference, or poor sample quality
- Genes detected typically ranges from 15,000–25,000 for human RNA-seq