Shuang Jiang

A graph-based pangenome reveals the genetic basis of climate-resilient and horticultural traits in pear

The paper constructs a graph-based pangenome for pear to identify genetic variants associated with climate-resilient and horticultural traits.

MetaPrism: A Toolkit for Joint Taxa/Gene Analysis of Metagenomic Sequencing Data

MetaPrism enables joint analysis of taxa and gene abundances in metagenomic data to identify potential biomarkers for therapeutic response prediction.

MB-GAN: Microbiome Simulation via Generative Adversarial Network

MB-GAN generates synthetic microbiome data that mimic real datasets, preserving key statistical properties for method development.

HARMONIES: A Hybrid Approach for Microbiome Networks Inference via Exploiting Sparsity

HARMONIES infers sparse microbiome networks using a zero-inflated negative binomial model and regularization, outperforming existing methods and identifying disease-associated microbial communities.

The immune vulnerability landscape of the 2019 Novel Coronavirus, SARS-CoV-2

The paper predicts T cell and B cell immunogenic epitopes of SARS-CoV-2 using genomic data and compares them with SARS-CoV and MERS-CoV to identify immune vulnerability patterns.

VAMPr: VAriant Mapping and Prediction of antibiotic resistance via explainable features and machine learning

VAMPr predicts antibiotic resistance using genomic data by analyzing variant associations and building machine learning models.