Research on Structural Variation Detection Methods of Wheat Genome Based on Deep Learning

Shi, H., Li, Y., Dong, Z., Li, Y., & Bação, F. (2025). Research on Structural Variation Detection Methods of Wheat Genome Based on Deep Learning. Journal of Combinatorial Mathematics and Combinatorial Computing, 127b, 7229-7244. https://doi.org/10.61091/jcmcc127b-394 --- 1) Research on common key technologies of new germplasm resources creation based on artificial intelligence. Project type: Key Research and Development Special Project of Henan Province (231111110100). 2) Research and development and application of information service platform of grain crop germplasm resources, Henan Provincial central government to guide local science and technology development fund (Z20231811005). 3) 2024 Provincial Science and Technology RESEARCH and development Plan Joint Fund (Application research category): wheat germplasm recommendation model study based on FgFisNe network (242103810028).