Cuiping Li

ImmuneLens links transcriptional states and TCR clonotypes using disentangled multimodal learning to improve antigen-specificity prediction and reveal T cell heterogeneity in immunotherapy.

HaploThread constructs and visualizes haplotype networks from large sequence datasets using multi-threaded algorithms and a plugin system.

RCoV19 integrates SARS-CoV-2 genome data, monitors variants, and provides risk pre-warning tools for COVID-19 response.

This paper develops a machine learning model using LightGBM to predict high-risk SARS-CoV-2 variants based on haplotype network features, achieving high accuracy in identifying variants of concern and interest.

McAN constructs haplotype networks using a minimum-cost arborescence approach, achieving speeds two orders of magnitude faster than existing methods.

The paper introduces Coronavirus GenBrowser (CGB), a tool for analyzing and visualizing SARS-CoV-2 genomic sequences to study transmission and evolution.

The paper describes the 2019nCoVR resource, which curates and analyzes SARS-CoV-2 genomes, variants, and haplotypes globally, providing daily updates and integration with literature and databases.