Peer-reviewedCC BYNucleic acids research
RiboBA: a bias-aware probabilistic framework for robust ORF identification across diverse ribosome profiling protocols
Related
- RAPPL-Seq Enables Rapid, High-Sensitivity Ribosome Profiling of Scarce Samples
- PCIPG: A comprehensive framework for protein complex identification based on a probabilistic graphical model
- Quantitative profiling of basal and stress-induced ribosome collisions
- Optimization of seminal extracellular vesicle isolation protocols for cancer biomarker analysis using proteomic profiling.
- Establishing standardized evaluation protocols for peptide-target interaction prediction: the PTI-TAPE consensus framework eDelphi
BibTeX
@article{anon2026riboba,
title = {{RiboBA: a bias-aware probabilistic framework for robust ORF identification across diverse ribosome profiling protocols}},
journal = {Nucleic acids research},
year = {2026},
month = oct,
url = {https://europepmc.org/article/PMC/PMC13662281},
note = {CC BY},
}
RIS
TY - JOUR
TI - RiboBA: a bias-aware probabilistic framework for robust ORF identification across diverse ribosome profiling protocols
PY - 2026
DA - 2026/10/14
JO - Nucleic acids research
UR - https://europepmc.org/article/PMC/PMC13662281
SN - 0305-1048
SN - 1362-4962
ER -