Our lab is focused on developing and applying robust bioinformatics methods to large-scale, high-throughput, multi-dimensional Genomics, Epigenomics, and Transcriptomics data with the main emphasis on elucidating and understanding human disease progression and development, which is further expected to translate to public health practice.
Our scQTLbase paper has been accepted by Nucleic Acids Research. We described an integrated human single-cell eQTL portal, which features 304 datasets across 57 cell types and 95 cell states. Congratulations to Dr. Ding, Qixuan, Lihai and other lab members!
Our abstract has been ACCEPTED as a platform (oral) presentation at the ASHG 2023 Annual Meeting. There are less than 10% of abstracts can be selected as oral presentations. Cheers!
We received a new NSFC award for the next four years to study computational modeling of intronic polyadenylation in human cancers. Cheers!
Dr. Li was invited to present at the Biological Data Science, AI&Medicine Workshop in Hong Kong.
We had a lab retreat in Shanghai and visit Dr. Ting Ni’s lab in Fudan Univerisity.
Dr. Li was invited to present in the Chinese Academic Conference on Tumor Biomarker.