ESPRESSO: Robust discovery and quantification of transcript isoforms from error-prone long-read RNA-seq data

Long-read RNA sequencing (RNA-seq) holds great potential for characterizing transcriptome variation and full-length transcript isoforms, but the relatively high error rate of current long-read sequencing platforms poses a major challenge. We present ESPRESSO, a computational tool for robust discover...

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Detalles Bibliográficos
Autores principales: Gao, Yuan, Wang, Feng, Wang, Robert, Kutschera, Eric, Xu, Yang, Xie, Stephan, Wang, Yuanyuan, Kadash-Edmondson, Kathryn E., Lin, Lan, Xing, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2023
Materias:
Biomedicine and Life Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858503/
https://www.ncbi.nlm.nih.gov/pubmed/36662851
http://dx.doi.org/10.1126/sciadv.abq5072

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858503/
https://www.ncbi.nlm.nih.gov/pubmed/36662851
http://dx.doi.org/10.1126/sciadv.abq5072

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