mRNA sequencing (mRNA-seq) uses poly(A) selection to profile protein-coding transcripts and measure gene expression across tissues, treatments and biological conditions. Short-read RNA sequencing supports expression quantification, differential expression analysis, pathway interpretation, alternative splicing analysis and broader functional genomics research.

Total RNA sequencing uses ribosomal RNA depletion to capture a broader transcriptome than poly(A)-selected mRNA-seq. It supports analysis of both messenger RNA and long non-coding RNA (lncRNA), enabling gene expression, differential expression, transcript diversity, functional enrichment and regulatory RNA studies within the same experiment.

Small RNA sequencing (sRNA-seq) profiles short regulatory RNA molecules, including miRNAs and other small RNA species involved in post-transcriptional gene regulation. It can support small RNA identification, classification, quantification and differential expression analysis for studies of regulatory mechanisms, biological response and biomarker discovery.

Circular RNA sequencing (circRNA-seq) enables identification and quantification of circular RNAs generated through back-splicing. Enrichment and sequencing workflows support detection of back-splice junctions, circRNA expression profiling, differential expression analysis, functional enrichment and target prediction across samples or experimental conditions.

Whole transcriptome sequencing provides an integrated view of multiple RNA classes within the same study. By combining library strategies for coding RNA, lncRNA, small RNA and selected circRNA analysis, it can support broader transcriptome profiling, differential expression, functional enrichment and regulatory network analysis across RNA types.

Full-length transcriptome sequencing uses long-read RNA sequencing to capture complete transcript structures and resolve isoform diversity. PacBio Iso-Seq and Oxford Nanopore options can support transcript discovery, alternative splicing analysis, novel isoform identification, genome annotation and transcript-level analysis where short reads cannot fully resolve transcript structure.

Prokaryotic RNA sequencing provides strand-specific transcriptome profiling for bacteria, archaea and other prokaryotic systems. RNA-seq can support gene expression and differential expression analysis together with investigation of operon organisation, transcription start and termination sites, regulatory responses and other prokaryote-specific transcriptome features.

Metatranscriptome sequencing profiles actively expressed genes within complex microbial communities. Unlike DNA-based metagenomics, it focuses on microbial gene and pathway activity, supporting taxonomic and functional analysis, gene expression profiling and investigation of community responses across different conditions.

mRNA sequencing (mRNA-seq) uses poly(A) selection to profile protein-coding transcripts and measure gene expression across tissues, treatments and biological conditions. Short-read RNA sequencing supports expression quantification, differential expression analysis, pathway interpretation, alternative splicing analysis and broader functional genomics research.

Total RNA sequencing uses ribosomal RNA depletion to capture a broader transcriptome than poly(A)-selected mRNA-seq. It supports analysis of both messenger RNA and long non-coding RNA (lncRNA), enabling gene expression, differential expression, transcript diversity, functional enrichment and regulatory RNA studies within the same experiment.

Small RNA sequencing (sRNA-seq) profiles short regulatory RNA molecules, including miRNAs and other small RNA species involved in post-transcriptional gene regulation. It can support small RNA identification, classification, quantification and differential expression analysis for studies of regulatory mechanisms, biological response and biomarker discovery.

Circular RNA sequencing (circRNA-seq) enables identification and quantification of circular RNAs generated through back-splicing. Enrichment and sequencing workflows support detection of back-splice junctions, circRNA expression profiling, differential expression analysis, functional enrichment and target prediction across samples or experimental conditions.

Whole transcriptome sequencing provides an integrated view of multiple RNA classes within the same study. By combining library strategies for coding RNA, lncRNA, small RNA and selected circRNA analysis, it can support broader transcriptome profiling, differential expression, functional enrichment and regulatory network analysis across RNA types.

Full-length transcriptome sequencing uses long-read RNA sequencing to capture complete transcript structures and resolve isoform diversity. PacBio Iso-Seq and Oxford Nanopore options can support transcript discovery, alternative splicing analysis, novel isoform identification, genome annotation and transcript-level analysis where short reads cannot fully resolve transcript structure.

Prokaryotic RNA sequencing provides strand-specific transcriptome profiling for bacteria, archaea and other prokaryotic systems. RNA-seq can support gene expression and differential expression analysis together with investigation of operon organisation, transcription start and termination sites, regulatory responses and other prokaryote-specific transcriptome features.

Metatranscriptome sequencing profiles actively expressed genes within complex microbial communities. Unlike DNA-based metagenomics, it focuses on microbial gene and pathway activity, supporting taxonomic and functional analysis, gene expression profiling and investigation of community responses across different conditions.