Xiaoguang Pan
Enrolled PhD student
Cell Biology and Physiology
Universitetsparken 13
2100 København Ø
ORCID: 0000-0002-2688-9245
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- 2021
- Published
Enhancing CRISPR-Cas9 gRNA efficiency prediction by data integration and deep learning
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. & 4 others, , 2021, In: Nature Communications. 12, 1, 9 p., 3238.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 312548269
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Enhancing CRISPR-Cas9 gRNA efficiency prediction by data integration and deep learning
Research output: Contribution to journal › Journal article › Research › peer-review
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20
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Circle-Seq reveals genomic and disease-specific hallmarks in urinary cell-free extrachromosomal circular DNAs
Research output: Contribution to journal › Journal article › Research › peer-review
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12
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CRISPR/Cas9 gRNA activity depends on free energy changes and on the target PAM context
Research output: Contribution to journal › Journal article › Research › peer-review
Published