Lisa（epigenetic Landscape In Silico deletion Analysis）通过整合数万套公共 ChIP-seq 和染色质可及性数据，预测最可能调控用户输入基因集的转录因子 (Qin et al., 2020)。它建模每个基因周围的染色质景观，并通过 in silico deletion of regulatory elements 为候选调控因子打分。
Lisa 被实验和计算研究团队广泛用于从差异表达结果、筛选命中基因和疾病相关基因集中生成机制假设。它属于更广泛的 Cistrome 生态系统 (Mei et al., 2017)，共享其高质量整理数据基础。源码和 Python package 见 GitHub。
参考文献
2020
Genome Biol
Lisa: inferring transcriptional regulators through integrative modeling of public chromatin accessibility and ChIP-seq data
@article{Qin2020Lisa,title={{Lisa}: inferring transcriptional regulators through integrative modeling of public chromatin accessibility and {ChIP-seq} data},author={Qin, Qian and Fan, J and Zheng, R and Wan, C and Mei, S and Wu, Q and Sun, H and Brown, M and Zhang, J and Meyer, C A and Liu, X S},journal={Genome Biology},volume={21},number={1},pages={32},year={2020},}
2017
NAR
Cistrome Data Browser: a data portal for ChIP-seq and chromatin accessibility data in human and mouse
@article{Mei2017CistromeDataBrowser,title={{Cistrome Data Browser}: a data portal for {ChIP-seq} and chromatin accessibility data in human and mouse},author={Mei, S and Qin, Qian and Wu, Q and Sun, H and Zheng, R and Zang, C and Zhu, M and Wu, J and Shi, X and Taing, L and Liu, T and Brown, M and Meyer, C A and Liu, X S},journal={Nucleic Acids Research},volume={45},number={D1},pages={D658--D662},year={2017},}