CLEAN Database: providing enzyme function coverage for over 55 million sequences
- DOI
- 10.1093/nar/gkag1003
- Published
- 2026-10-15
- Container
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1093/nar/gkag1003,
title = {CLEAN Database: providing enzyme function coverage for over 55 million sequences},
author = {Le Yuan and Jianan Canal Li and Miaoyuan Wen and David M Bianchi and Katherine Arneson and Bingji Guo and Sara Lambert and Chris Stephens and Tianhao Yu and Lijiang Fu and Christopher Pond and Matthew J Berry and Huimin Zhao},
year = {2026},
journal = {Nucleic Acids Research},
doi = {10.1093/nar/gkag1003},
url = {https://doi.org/10.1093/nar/gkag1003}
}RIS
TY - JOUR TI - CLEAN Database: providing enzyme function coverage for over 55 million sequences AU - Le Yuan AU - Jianan Canal Li AU - Miaoyuan Wen AU - David M Bianchi AU - Katherine Arneson AU - Bingji Guo AU - Sara Lambert AU - Chris Stephens AU - Tianhao Yu AU - Lijiang Fu AU - Christopher Pond AU - Matthew J Berry AU - Huimin Zhao PY - 2026 JO - Nucleic Acids Research DO - 10.1093/nar/gkag1003 UR - https://doi.org/10.1093/nar/gkag1003 ER -
APA
Yuan, L., Li, J. C., Wen, M., Bianchi, D. M., Arneson, K., Guo, B., Lambert, S., Stephens, C., Yu, T., Fu, L., Pond, C., Berry, M. J., & Zhao, H. (2026). CLEAN Database: providing enzyme function coverage for over 55 million sequences. Nucleic Acids Research. https://doi.org/10.1093/nar/gkag1003
Source records
- crossref · retrieved 2026-11-10T08:04:12.865Z