Peer-reviewedCC BYGenes
SpliceCOV: Supervised Filtering of RNA-Seq-Derived Transcript Features Improves Transcriptome Assembly
- 1Department of Computer Science, , Baltimore, MD 21218, USA
- 2Center for Computational Biology, , Baltimore, MD 21211, USA
Related
- Refining RNA-Seq Transcriptome Profiles with Transcript-Specific Minimal-Shared Regions
- Transcriptome profiling identifies the chromatoid body as a dynamic center for RNA surveillance and transcript sorting during spermatogenesis
- tWhEEL: a transcript-aware workflow for quantifying CRISPR knockout feasibility using transcriptome assembly
- AET5: A transcriptome-guided molecular generation framework with contrastive self-supervised learning
- Voice and linguistic features support early attentional filtering of irrelevant stimuli
BibTeX
@article{hoh2026splicecov,
title = {{SpliceCOV: Supervised Filtering of RNA-Seq-Derived Transcript Features Improves Transcriptome Assembly}},
author = {Celine Hoh and Ida Shinder and Kuan-Hao Chao and Ales Varabyou and Mihaela Pertea},
journal = {Genes},
year = {2026},
month = oct,
url = {https://europepmc.org/article/PMC/PMC13704264},
note = {CC BY},
}
RIS
TY - JOUR
TI - SpliceCOV: Supervised Filtering of RNA-Seq-Derived Transcript Features Improves Transcriptome Assembly
AU - Celine Hoh
AU - Ida Shinder
AU - Kuan-Hao Chao
AU - Ales Varabyou
AU - Mihaela Pertea
PY - 2026
DA - 2026/10/01
JO - Genes
UR - https://europepmc.org/article/PMC/PMC13704264
SN - 2073-4425
ER -