IsoPrism predicts isoform usage from short-read transcriptomes through structure-guided competitive allocation

Peiyi Yan, Jingchen Liu, Xuejian Cui, Xiaoqi Liu, Lei Shi, Liang Cheng

Open source

DOI: 10.1093/bib/bbag621
Published: 2026-11
Container: Briefings in Bioinformatics
Publisher: Oxford University Press (OUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/bib/bbag621,
  title = {IsoPrism predicts isoform usage from short-read transcriptomes through structure-guided competitive allocation},
  author = {Peiyi Yan and Jingchen Liu and Xuejian Cui and Xiaoqi Liu and Lei Shi and Liang Cheng},
  year = {2026},
  journal = {Briefings in Bioinformatics},
  doi = {10.1093/bib/bbag621},
  url = {https://doi.org/10.1093/bib/bbag621}
}

RIS

TY  - JOUR
TI  - IsoPrism predicts isoform usage from short-read transcriptomes through structure-guided competitive allocation
AU  - Peiyi Yan
AU  - Jingchen Liu
AU  - Xuejian Cui
AU  - Xiaoqi Liu
AU  - Lei Shi
AU  - Liang Cheng
PY  - 2026
JO  - Briefings in Bioinformatics
DO  - 10.1093/bib/bbag621
UR  - https://doi.org/10.1093/bib/bbag621
ER  -

APA

Yan, P., Liu, J., Cui, X., Liu, X., Shi, L., & Cheng, L. (2026). IsoPrism predicts isoform usage from short-read transcriptomes through structure-guided competitive allocation. Briefings in Bioinformatics. https://doi.org/10.1093/bib/bbag621

Source records

crossref · retrieved 2026-11-03T21:01:03.034Z