Transcriptomics

Captures the complete RNA population including mRNA, lncRNA, circRNA, and other non-coding transcripts for a holistic view of the transcriptome. Enables discovery of regulatory RNAs, alternative splicing events, and comprehensive transcriptome characterization beyond coding genes.

Focused analysis of differentially expressed genes between experimental conditions. Requires biological replicates for statistical power. Provides volcano plots, heatmaps, pathway enrichment, and GO term analysis to uncover biologically meaningful expression changes.

Leverages long-read sequencing to characterize full-length transcripts and alternative splicing events. Resolves transcript structures, identifies novel isoforms, and provides complete gene model annotation that short-read sequencing cannot achieve.