Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jiayan Zhong"'
Autor:
Xiaoguang Pan, Kunli Qu, Hao Yuan, Xi Xiang, Christian Anthon, Liubov Pashkova, Xue Liang, Peng Han, Giulia I. Corsi, Fengping Xu, Ping Liu, Jiayan Zhong, Yan Zhou, Tao Ma, Hui Jiang, Junnian Liu, Jian Wang, Niels Jessen, Lars Bolund, Huanming Yang, Xun Xu, George M. Church, Jan Gorodkin, Lin Lin, Yonglun Luo
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022)
Thorough evaluation of CRISPR RNA-guided nucleases off-targets in cells is required for advancing gene therapies. Here the authors report SURRO-seq for the simultaneous investigation of thousands of off-target sites for therapeutic RNA-guided nucleas
Externí odkaz:
https://doaj.org/article/faf474f6db144a9c827ec4b0d699e6f7
Autor:
Xi Xiang, Giulia I. Corsi, Christian Anthon, Kunli Qu, Xiaoguang Pan, Xue Liang, Peng Han, Zhanying Dong, Lijun Liu, Jiayan Zhong, Tao Ma, Jinbao Wang, Xiuqing Zhang, Hui Jiang, Fengping Xu, Xin Liu, Xun Xu, Jian Wang, Huanming Yang, Lars Bolund, George M. Church, Lin Lin, Jan Gorodkin, Yonglun Luo
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
High-quality gRNA activity data is needed for accurate on-target efficiency predictions. Here the authors generate activity data for over 10,000 gRNA and build a deep learning model CRISPRon for improved performance predictions.
Externí odkaz:
https://doaj.org/article/d2630a00271e4fa5a1f663c1d03d658b
Publikováno v:
Frontiers in Business, Economics and Management. 3:24-27
With the continuous development of big data technology, people have new development and pursuit in the fields of production, distribution, exchange, consumption and so on. During this period, the sharing economy came into being. The big data sharing
Publikováno v:
Informatica. 45
Stereoscopic lighting is one of the essential visual quality factors affecting the presentation of ceramic exhibits. This research adopted the method of bidirectional verification : psychophysical experiment and virtual environment with eye-movemen
Autor:
Hui Jiang, Jiayan Zhong, Lijun Liu, Jian Wang, Zhanying Dong, Giulia I. Corsi, Jinbao Wang, Xiaoguang Pan, Fengping Xu, Xi Xiang, Kunli Qu, Peng Han, Tao Ma, Xun Xu, Xin Liu, Xue Liang, Jan Gorodkin, Huanming Yang, Yonglun Luo, Christian Anthon, Lin Lin, Lars Bolund, George M. Church, Xiuqing Zhang
Publikováno v:
Xiang, X, Corsi, G I, Anthon, C, Qu, K, Pan, X, Liang, X, Han, P, Dong, Z, Liu, L, Zhong, J, Ma, T, Wang, J, Zhang, X, Jiang, H, Xu, F, Liu, X, Xu, X, Wang, J, Yang, H, Bolund, L, Church, G M, Lin, L, Gorodkin, J & Luo, Y 2021, ' Enhancing CRISPR-Cas9 gRNA efficiency prediction by data integration and deep learning ', Nature Communications, vol. 12, 3238 . https://doi.org/10.1038/s41467-021-23576-0
Xiang, X, Corsi, G I, Anthon, C, Qu, K, Pan, X, Liang, X, Han, P, Dong, Z, Liu, L, Zhong, J, Ma, T, Wang, J, Zhang, X, Jiang, H, Xu, F, Liu, X, Xu, X, Wang, J, Yang, H, Bolund, L, Church, G M, Lin, L, Gorodkin, J & Luo, Y 2021, ' Enhancing CRISPR-Cas9 gRNA efficiency prediction by data integration and deep learning ', Nature Communications, vol. 12, no. 1, 3238 . https://doi.org/10.1038/s41467-021-23576-0
Nature Communications
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
Xiang, X, Corsi, G I, Anthon, C, Qu, K, Pan, X, Liang, X, Han, P, Dong, Z, Liu, L, Zhong, J, Ma, T, Wang, J, Zhang, X, Jiang, H, Xu, F, Liu, X, Xu, X, Wang, J, Yang, H, Bolund, L, Church, G M, Lin, L, Gorodkin, J & Luo, Y 2021, ' Enhancing CRISPR-Cas9 gRNA efficiency prediction by data integration and deep learning ', Nature Communications, vol. 12, no. 1, 3238 . https://doi.org/10.1038/s41467-021-23576-0
Nature Communications
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
The design of CRISPR gRNAs requires accurate on-target efficiency predictions, which demand high-quality gRNA activity data and efficient modeling. To advance, we here report on the generation of on-target gRNA activity data for 10,592 SpCas9 gRNAs.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdc5adaa7684c0c0c19b8486e9135360
https://pure.au.dk/portal/da/publications/enhancing-crisprcas9-grna-efficiency-prediction-by-data-integration-and-deep-learning(6a3e5eaf-486f-40cc-91a6-8c634db0b286).html
https://pure.au.dk/portal/da/publications/enhancing-crisprcas9-grna-efficiency-prediction-by-data-integration-and-deep-learning(6a3e5eaf-486f-40cc-91a6-8c634db0b286).html
Autor:
Jun Wang, Lin Lin, Huajing Teng, Lijun Liu, George M. Church, Xun Xu, Xi Xiang, Lars Bolund, Xiaoying Zhao, Xin Liu, Jiayan Zhong, Xue Liang, Peng Han, Lijin Zou, Huanming Yang, Tao Ma, Yiqing Wang, Xiuqing Zhang, Jiaying Yu, Xiaoguang Pan, Hui Jiang, Yonglun Luo, Jinbao Wang, Kunli Qu, Siyuan Li, Jian Wang, Zhe Xu, Fengping Xu, Zhanying Dong
The CRISPR RNA-guided endonucleases Cas9, and Cas9-derived adenine/cytosine base editors (ABE/CBE), have been used in both research and therapeutic applications. However, broader use of this gene editing toolbox is hampered by the great variability o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3ae730d87daee945905deb0d1675efe
https://doi.org/10.1101/2020.05.20.103614
https://doi.org/10.1101/2020.05.20.103614
Publikováno v:
BigData Congress
Big data poses big challenges to modern enterprises. Traditional data-intensive business applications begin to fall behind the times, because of insufficient capabilities to process large data volumes, ever-changing streaming data and unstructured in
Autor:
Lanting Yan1, Liying Jiang1, Yue Liu2, Yun Chen1, Jiayan Zhong1, Dingtian Luo1 luotian1232@163.com
Publikováno v:
Alternative Therapies in Health & Medicine. Jan2024, Vol. 30 Issue 1, p88-93. 6p.