Shenzhen Bay Laboratory

Computational and Disease Genomics Lab


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.



Recent News


July 8th, 2026

New Paper (Nature Communications)


Paper

Congrautations that our tandem transcription initations has finally been accepted in principle by Nature Communications. We presents the first genetic regulation of alternative tandem transcription initiation across human tissues, revealing a new mechanism by which noncoding genetic variation contributes to disease risk through translational control.

July 8th, 2026

Six Years Running: Oral Presentation Accepted at ASHG 2026 and Travel Award


Paper

Our abstract has been accepted for platform (oral) presentation at the ASHG 2026 Annual Meeting in Montréal, Canada. This marks the sixth consecutive year we have been invited to present at the largest human genetics and genomics meeting in the world. We also honored to have received a Travel Award

June 22nd, 2026

Statistical Functional Genomics Summer School


Paper

We co-organized the Statistical Functional Genomics Summer School, attended by nearly 100 researchers for five days of lectures and hands-on training.

February 24th, 2026

New Paper (Nature Biomedical Engineering)


Paper

Congratulations that our work has been accepted in principle by Nature Biomedical Engineering. Our study reveals a novel Engineering System (3′UTRCES) that can precisely manipulate mRNA 3′UTR length at the single-transcript level, uncovering an unexpected link between SPSB1 3′UTR shortening and cancer immune evasion, and establishing "3′UTR-targeted therapy" as a promising strategy to overcome immunotherapy resistance in prostate cancer.

December 19th, 2025

New Paper (Genome Medicine)


Paper

Our computational method MAAS has finally been accepted by Genome Medicine. MAAS enables flexible and sensitive identification of clinically relevant tumor subpopulations using a single scATAC-seq assay.

August 27th, 2025

New Grant


Paper

Congratulations to Dr. Xudong Zou in our team for receiving the General Grant of the National Natural Science Foundation of China. This grant will support him to develop computational method for RNA-seq data.

August 20th, 2025

2025 ASHG Trainee Research Excellence Award


Paper

Congratulations to our postdoctoral associate Dr. Ting Zhang, who has been recevied the Prestigious 2025 ASHG Trainee Research Excellence Award – Postdoctoral Semifinalist. This year’s competition was exceptionally competitive, with more than 800 applicants, from which only 42 semifinalists were chosen. We are also proud to share that our student Hui has been awarded the ASHG Travel Award. Cheers!

August 10th, 2025

ASHG 2025, we are coming!


Paper

We have two abstracts been ACCEPTED as platform (oral) presentations at the ASHG 2025 Annual Meeting in Boston. There are less than 10% of abstracts can be selected as oral presentations. Also Dr. Li was invited to moderate a platform session on Computational Tools for Precision Therapeutics at ASHG. Cheers.

July 25th, 2025

Invited talk


Paper

Dr. Li was invited to give a talk at Harvard Medical School and the International Conference on Intelligent Biology and Medicine (ICIBM).