A systematic evaluation of computational methods for predicting translated non-canonical ORFs from ribosome profiling data

Tianyu Lei; Yue Chang; Chao Yao; Hong Zhang

doi:10.1016/j.jgg.2023.08.010

Volume 51 Issue 1

Jan. 2024

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Article Navigation > Journal of Genetics and Genomics > 2024 > 51(1): 105-108

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A systematic evaluation of computational methods for predicting translated non-canonical ORFs from ribosome profiling data

doi: 10.1016/j.jgg.2023.08.010

1. College of Ecology, Lanzhou University, Lanzhou, Gansu 730000, China;
2. Cuiying Honors College, Lanzhou University, Lanzhou, Gansu 730000, China;
3. College of Ecology, Lanzhou University, Lanzhou, Gansu 730000, China

Funds:

We thank Drs. Claude Perreault, Sebastian Schafer, and Sonia P. Chothani for data sharing. We also thank Drs. Yirong Wang and Xushen Xiong for helpful comments. This work was funded by the National Natural Science Foundation of China (32200433) and the Fundamental Research Funds for the Central Universities (LZUJBKY-2022-2). We thank the Supercomputing Center of Lanzhou University for providing computational resources.

Received Date: 2023-06-02
Accepted Date: 2023-08-30
Rev Recd Date: 2023-08-15
Publish Date: 2023-09-04

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References

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