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Hey @brindavjk
that wouldn't be what you're looking for.
The saturation rate is answering how many more molecules (UMI) do I get if I sequence deeper.
You should calculate total_umis/total_reads*100
The UMIS corrected here is how many UMIs have been corrected in your data.
Hi,
I wanted to confirm that we are calculating the saturation rate correctly for our CITE-seq data. We have a run_report.yaml output as follows:
Date: 2020-10-29
Running time: 4.0 hours, 43.0 minutes, 25.25 seconds
CITE-seq-Count Version: 1.4.3
Reads processed: 25782377
Percentage mapped: 30
Percentage unmapped: 70
Uncorrected cells: 2
Correction:
Cell barcodes collapsing threshold: 1
Cell barcodes corrected: 401137
UMI collapsing threshold: 2
UMIs corrected: 2118655
Run parameters:
Read1_paths: S1_FBC_S2_L001_R1_001.fastq.gz
Read2_paths: S1_FBC_S2_L001_R2_001.fastq.gz
Cell barcode:
First position: 1
Last position: 16
UMI barcode:
First position: 17
Last position: 28
Expected cells: 50000
Tags max errors: 2
Start trim: 0
So would our saturation rate be (1-umis corrected / reads processed) = 1 - 2118655/25782377 = 91.7%? Just want to make sure I did that properly.
Thank you!
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