Ruimin Wang

This study uses pan-genome and multi-omics analyses to investigate the genomic basis of mycoheterotrophy in Gastrodia elata, revealing gene loss, regulatory co-option, and specialized nutrient acquisition mechanisms.

The paper benchmarks generative methods for designing peptides in TCR-pMHC complexes, revealing method-dependent differences in backbone generation and conformational diversity.

The paper evaluates precision loss in metabolomics mass spectrometry data compression and provides thresholds to minimize impact on downstream analysis.

This paper introduces entropy-based decoy generation methods to improve FDR estimation in metabolomics and presents a tool for accurate FDR-controlled analysis.

The paper introduces Aird-ComboComp, a compression framework for mass spectrometry data that improves compression ratios and decompression speed compared to existing methods.

Aird is a computation-oriented mass spectrometry data format that achieves higher compression and faster decoding compared to existing formats.