PacBio Iso-Seq Analysis

With long and accurate HiFi reads, you can characterize the full diversity of the transcriptome

Using the long reads generated by Single Molecule, Real-Time (SMRT) sequencing PacBio Iso-Seq method provides reads that span entire transcript isoforms, eliminating the need for computational reconstruction, and enabling functional characterization of full-length transcript isoforms. The analysis is performed de novo, without a reference genome. The Iso-Seq application provides accurate information about alternatively spliced exons and transcriptional start and end sites.

Iso-Seq method can be used to:

• Profile whole transcriptomes exhaustively at the isoform level
• Characterize alternative start and polyadenylation sites as well as exon skipping events
• Detect isoforms as potential biomarkers
• Target genes of interest using synthetic probes with sample multiplexing to query isoforms in a cost-effective manner
• Discover novel genes and informs even in well-characterized model organisms
• Create a reference transcriptome for better RNA-Seq quantification at isoform-level resolution
• Generate full-length transcript isoforms that can be confidently assigned to individual cells
• Move beyond 3’ gene counting to include TSS, polyA, and complete exon connectivity data to deepen your understanding of cell type differences
• Distinguish cell types that play unique roles in complex systems like the immune system
• Understand how alternative splicing of critical genes drives function in tissues like the brain

Full-length, HiFi reads (Q20, single-molecule resolution) are identified and clustered at the isoform level, then polished to create high-quality consensus.

NGI provides following analysis results:

• Full-Length Non-Concatemer Read Assignments: Full-length reads that have primers and polyA tails removed, in BAM format.
• Full-Length Non-Concatemer Report: Includes strand, 5’ primer length, 3’ primer length, polyA tail length, insertion length, and primer IDs for each full-length read that has primers and polyA tail, in CSV format.
• High-Quality Isoforms: Isoforms with high consensus accuracy, in FASTQ and FASTA format. This is the recommended output file to work with.
• Low-Quality Isoforms: Isoforms with low consensus accuracy, in FASTQ and FASTA format. We recommend that you work only with High-Quality isoforms, unless there are specific reasons to analyze Low-Quality isoforms.
• Full-length Non-Concatemer Read Assignments: Report of full-length read association with collapsed filtered isoforms, in text format.
• Collapsed Filtered Isoform Counts: Report of read count information for each collapsed filtered isoform.

If reference is provide, additional results include:

• Mapped High Quality Isoforms: Alignments mapping isoforms to the reference genome, in BAM and BAI (index) formats.
• Collapsed Filtered Isoforms GFF: Mapped, unique isoforms, in GFF format. This is the Mapping step output that is the recommended output file to work with.
• Collapsed Filtered Isoforms: Mapped, unique isoforms, in FASTQ format. This is the Mapping step output that is recommended output file to work with.
• Collapsed Filtered Isoforms Groups: Report of isoforms mapped into collapsed filtered isoforms.

Last Updated: 11th September 2024