Kumari, Pallawi and Kaur, Manmeet and Dindhoria, Kiran and Ashford, Bruce and Amarasinghe, Shanika L. and Thind, Amarinder Singh (2024) Advances in long-read single-cell transcriptomics. HUMAN GENETICS.
Full text not available from this repository. (Request a copy)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.
| Item Type: | Article |
|---|---|
| Additional Information: | The copyright of this article belongs to SPRINGER |
| Subjects: | Q Science > QR Microbiology |
| Depositing User: | Dr. K.P.S.Sengar |
| Date Deposited: | 25 Jun 2024 03:53 |
| Last Modified: | 25 Jun 2024 03:53 |
| URI: | http://crdd.osdd.net/open/id/eprint/3136 |
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