研究内容
- 组学大数据深度挖掘，生物大分子互作网络建模，植物抗逆基因及元件功能鉴定。
论文
- Deng Y†, Zhao W†, Xiong Y, Naeem M, Lu S, Zhou X, Zhao L*, Zhang L*. (2025) Decoding tissue-specific enhancers in plants using massively parallel assays and deep learning. DOI: 10.1093/plcell/koaf236. (Highlight by In Brief DOI: 10.1093/plcell/koaf248)
- Sun F†, Deng Y†, Zhao W†, Xiong Y, Zhao L, Zhang L*. (2025) High-throughput quantitative assessment of ABA-responsive elements at single-nucleotide resolution.Quantitative Biology. DOI: 10.1002/qub2.87
- Lv Z†, Chen W†, Fang S†, Dong B, Wang X, Zhang L*, Xue J*, Chen W*. (2024). Targeted mutagenesis in Arabidopsis and medicinal plants using transposon-associated TnpB. J Integr Plant Biol. 66:2083-2086. doi: 10.1111/jipb.13758.
- Shen Q†, Zhang L† (co-first author), Liao Z†, Wang S, Yan T, Shi P, Liu M, Fu X, Pan Q, et al., Tang K*. (2018) The genome of Artemisia annua provides insight into the evolution of Asteraceae family and artemisinin biosynthesis. Molecular Plant. 11:776–788.
- Liu S†, Liu Y†, Zhao J, Cai S, Qian H, Zuo K, Zhao L, Zhang L*. (2017) A computational interactome for prioritizing genes associated with complex agronomic traits in rice (Oryza sativa). Plant Journal. 90:177-188. DOI: 10.1111/tpj.13475.
- Zhang F†, Liu S†, Li L†, Zuo K, Zhao L, Zhang L*. (2016) Genome-Wide Inference of Protein-Protein Interaction Networks Identifies Crosstalk in Abscisic Acid Signaling. Plant Physiology. 171: 1511-1522.
专利著作
- 张利达，双末端测序reads质量过滤软件，2014SR107814.
- 张利达，生物途径注释分析软件，2015SR075180.
- 张利达，过敏原预测软件，2015SR076934.
- 张利达，刘诗薇，刘奕慧.构建植物蛋白质互作网络的方法. ZL201510697708.1
- 张利达，刘奕慧，刘诗薇.植物抗旱基因模块发掘方法.ZL201510697716.6