Plant-LncPipe: a computational pipeline providing significant improvement in plant lncRNA identification.

Tian XC, Chen ZY, Nie S, Shi TL, Yan XM, Bao YT, Li ZC, Ma HY, Jia KH, Zhao W, Mao JF

DOI: 10.1093/hr/uhae041
Published: 2024 Apr
Container: Horticulture research
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/hr/uhae041,
  title = {Plant-LncPipe: a computational pipeline providing significant improvement in plant lncRNA identification.},
  author = {Tian XC and Chen ZY and Nie S and Shi TL and Yan XM and Bao YT and Li ZC and Ma HY and Jia KH and Zhao W and Mao JF},
  year = {2024},
  journal = {Horticulture research},
  doi = {10.1093/hr/uhae041},
  url = {https://doi.org/10.1093/hr/uhae041}
}

RIS

TY  - JOUR
TI  - Plant-LncPipe: a computational pipeline providing significant improvement in plant lncRNA identification.
AU  - Tian XC
AU  - Chen ZY
AU  - Nie S
AU  - Shi TL
AU  - Yan XM
AU  - Bao YT
AU  - Li ZC
AU  - Ma HY
AU  - Jia KH
AU  - Zhao W
AU  - Mao JF
PY  - 2024
JO  - Horticulture research
DO  - 10.1093/hr/uhae041
UR  - https://doi.org/10.1093/hr/uhae041
ER  -

APA

XC, T., ZY, C., S, N., TL, S., XM, Y., YT, B., ZC, L., HY, M., KH, J., W, Z., & JF, M. (2024). Plant-LncPipe: a computational pipeline providing significant improvement in plant lncRNA identification.. Horticulture research. https://doi.org/10.1093/hr/uhae041

Source records

pubmed · retrieved 2026-09-26T01:13:46.088Z