Zhu Lab

Research aims

1. Gene decoding of brain development, evolution and related diseases. Combining large-scale high-throughput sequencing technology and bioinformatics analysis to decode the molecular and cellular basis of brain development, evolution, and disease.

2. Development of bioinformatics methods for high-throughput sequencing data; computational modeling of complex biological systems.

Bioinformatics tools designed by our lab

1. CellGO: a novel deep learning-based framework and webserver for cell-type-specific gene function interpretation
Please refer to our published article at https://doi.org/10.1093/bib/bbad417
For interactive web-based CellGO analysis, please login https://zhuy-lab.fudan.edu.cn/CellGO#
For the cellgopy python package, please login https://github.com/FduZhuLab/cellgopy

2. TempShift reveals the sequential development of human neocortex and skewed developmental timing of down syndrome brains
Please refer to our published article at https://doi.org/10.3390/brainsci13071070
For the TempShift R package, please login https://github.com/YingZhuLab/TempShift

3. Pianno: a probabilistic framework automating semantic annotation for spatial transcriptomics
Note: This manuscript has not yet been certified by peer-review
For the pianno python package, please login https://github.com/yuqiuzhou/Pianno