%A Pallawi Kumari
%A Manmeet Kaur
%A Kiran Dindhoria
%A Bruce Ashford
%A Shanika L. Amarasinghe
%A Amarinder Singh Thind
%O The copyright of this article belongs to SPRINGER 
%J HUMAN GENETICS
%T Advances in long-read single-cell transcriptomics
%X Long-read single-cell transcriptomics (scRNA-Seq) is revolutionizing the way we profile heterogeneity in disease. Traditional short-read scRNA-Seq methods are limited in their ability to provide complete transcript coverage, resolve isoforms, and identify novel transcripts. The scRNA-Seq protocols developed for long-read sequencing platforms overcome these limitations by enabling the characterization of full-length transcripts. Long-read scRNA-Seq techniques initially suffered from comparatively poor accuracy compared to short read scRNA-Seq. However, with improvements in accuracy, accessibility, and cost efficiency, long-reads are gaining popularity in the field of scRNA-Seq. This review details the advances in long-read scRNA-Seq, with an emphasis on library preparation protocols and downstream bioinformatics analysis tools.
%D 2024
%R 10.1007/s00439-024-02678-x Abstract
%I SPRINGER 
%L open3136