What are the key bioinformatic QC metrics for SeekOne DD scFAST-seq data?

Answer:
The QC report is primarily divided into three sections: Sequencing, Mapping, Cell-level QC. 

These metrics are used to evaluate:

• Sequencing and library-construction quality 
• Reliability of cell calling 
• Transcriptomic signal usability 
• RNA integrity and transcript-distribution characteristics 

Because transcriptomic QC metrics are strongly influenced by sample type, dissociation quality, nuclei integrity, sequencing depth, and reference annotation completeness, all QC metrics should be interpreted collectively rather than individually.

For nuclei-derived samples (snRNA-seq), intronic RNA signals are expected to be substantially enriched relative to conventional whole-cell scRNA-seq datasets.

Sequencing QC Metrics

RNA Mapping QC Metrics

Overall Genome Mapping Metrics

Transcript Distribution Metrics — snRNA-seq

For nucleus-derived RNA sequencing data (snRNA-seq), intronic reads are expected to be substantially enriched because nuclear RNA contains abundant unspliced pre-mRNA molecules and nuclear-retained transcripts.

Transcript Distribution Metrics — scRNA-seq

For whole-cell scRNA-seq datasets, mature cytoplasmic mRNA is generally enriched, resulting in higher exonic mapping rates and lower intronic proportions relative to snRNA-seq.

Additional RNA Composition Metrics

Cell-Level QC Metrics