Wang Bioinformatics Lab @ UC Riverside CSE¶

The Wang bioinformatics lab at UC Riverside explores problems at the intersection of computer science, data science, analytical chemistry, chemical biology, and mass spectrometry. Our goal is organize and create tools to explore the chemical world around us. We are a computational lab but operate in a highly collaborate way with a world-wide network of wet-lab scientists. These collaborations drive the computational challenges that we tackle to ensure we build tools together and for the community.

Checkout the research areas we are involved in, the computational tools we've developed, and the team that make it all possible.

We are always on the lookout for talented and motivated students so if that's you please consider joining us!

News¶

2025/11 - The Wang lab contributed to a large scale analysis drug metabolism published in Nature Communications
2025/11 - The Wang lab is highlighted as a highly cited researcher by Clavirate
2025/10 - The ai2tox Knowledgebase has been published in ACS Nano
2025/10 – Amy and Xianghu’s MMSA paper is accepted for publication in JASMS
2025/10 - Michael and Nyssa's IDBac Preprint has been released
2025/9 - The Wang lab received an NOA for an NIH R01 grant award.
2025/7 - Michael's ML benchmarking paper is published in BMC Bioinformatics
2025/7 - MChem is published in Nature Communications
2025/5 - PanReDU is published in Nature Communications
2025/5 - The MassQL paper is published in Nature Methods
2025/4 - Multi-Spectrum ModiFinder is published in JASMS
2025/3 - Xianghu's new benchmarking approach for MS/MS clustering performance was published in a special issue in JPR
2024/8 - Xianghu's paper on improving molecular networking with graph topology algorithms was published in JASMS

Last update: December 11, 2025 00:45:05