Long-read sequencing transcriptome quantification with lr-kallisto.
Ontology highlight
ABSTRACT: RNA abundance quantification has become routine and affordable thanks to high-throughput "short-read" technologies that provide accurate molecule counts at the gene level. Similarly accurate and affordable quantification of definitive full-length, transcript isoforms has remained a stubborn challenge, despite its obvious biological significance across a wide range of problems. "Long-read" sequencing platforms now produce data-types that can, in principle, drive routine definitive isoform quantification. However some particulars of contemporary long-read datatypes, together with isoform complexity and genetic variation, present bioinformatic challenges. We show here, using ONT data, that fast and accurate quantification of long-read data is possible and that it is improved by exome capture.
SUBMITTER: Loving RK
PROVIDER: S-EPMC11275803 | biostudies-literature | 2025 Jan
REPOSITORIES: biostudies-literature
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