HapIso: An Accurate Method for the Haplotype- Specific Isoforms Reconstruction From Long Single-Molecule Reads.

Area of Science:

• Genomics
• Transcriptomics
• Bioinformatics

Background:

• Single-molecule RNA sequencing offers long reads for complete haplotype isoform analysis.
• High error rates in these reads challenge accurate variant detection and isoform assembly.
• Distinguishing true mutations from sequencing errors is crucial for reliable transcript analysis.

Purpose of the Study:

• To develop a method for accurate haplotype-specific isoform reconstruction from long single-molecule RNA sequencing reads.
• To address the challenge of high error rates in single-molecule sequencing data.
• To enable precise estimation of allele-specific expression and identification of genetic variants.

Main Methods:

• Haplotype-specific Isoform reconstruction (HapIso) method utilizing a k-means clustering algorithm.
• Phasing reads by allele of origin to differentiate sequencing errors from biological mutations.
• Utilizing family pedigree information for method validation.

Main Results:

• HapIso effectively tolerates high error rates in single-molecule RNA sequencing data.
• Accurate partitioning of reads into parental alleles for isoform transcripts.
• Successful reconstruction of haplotype-specific isoforms from long reads, a novel capability.
• Identification of a clinically significant Glu1883Lys point mutation in patient data.

Conclusions:

• HapIso provides a robust solution for reconstructing haplotype-specific isoforms from long single-molecule RNA reads.
• The method enhances the accuracy of allele-specific expression analysis and genetic variant detection.
• HapIso represents a significant advancement in analyzing complex transcriptomes with long-read sequencing technologies.