Enhancing transcriptome expression quantification through accurate assignment of long RNA sequencing reads with TranSigner.

ABSTRACT: Recently developed long-read RNA sequencing technologies promise to provide a more accurate and comprehensive view of transcriptomes compared to short-read sequencers, primarily due to their capability to achieve full-length sequencing of transcripts. However, realizing this potential requires computational tools tailored to process long reads, which exhibit a higher error rate than short reads. Existing methods for assembling and quantifying long-read data often disagree on expressed transcripts and their abundance levels, leading researchers to lack confidence in the transcriptomes produced using this data. One approach to address the uncertainties in transcriptome assembly and quantification is by assigning the long reads to transcripts, enabling a more detailed characterization of tran

SUBMITTER: Ji HJ 

PROVIDER: S-EPMC11343119 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature