@article{open3136,
           title = {Advances in long-read single-cell transcriptomics},
          author = {Pallawi Kumari and Manmeet Kaur and Kiran Dindhoria and Bruce Ashford and Shanika L. Amarasinghe and Amarinder Singh Thind},
       publisher = {SPRINGER },
            year = {2024},
            note = {The copyright of this article belongs to SPRINGER },
         journal = {HUMAN GENETICS},
             url = {http://crdd.osdd.net/open/3136/},
        abstract = {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.}
}