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Fig. 1 | Genome Biology

Fig. 1

From: Long-read transcriptome sequencing reveals abundant promoter diversity in distinct molecular subtypes of gastric cancer

Fig. 1

Landscape of long-read transcriptome in gastric cancer cell lines. a Isoform calling algorithm for Iso-seq data. b Types and illustration of identified isoforms. c Breakdown of isoforms identified. d Quality control metric for the predicted isoforms. Compared to high-confidence FSM transcripts, NIC and NNC have similar quality metric. ISM has low percentage of transcripts with CAGE support, suggesting some of these transcripts are due to 5′ degradation. e Number of isoforms per gene. f Number of cell lines per isoforms. g Number of isoforms detected vs number of cell lines profiled. Known FSM transcripts (red) are reaching saturation, while novel transcripts are continually discovered

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