%0 Journal Article
%A Kumari, Pallawi
%A Kaur, Manmeet
%A Dindhoria, Kiran
%A Ashford, Bruce
%A Amarasinghe, Shanika L.
%A Thind, Amarinder Singh
%D 2024
%F open:3136
%I SPRINGER 
%J HUMAN GENETICS
%T Advances in long-read single-cell transcriptomics
%U http://crdd.osdd.net/open/3136/
%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.
%Z The copyright of this article belongs to SPRINGER