Wang Liu-Wei

WarpDemuX-tRNA improves barcode multiplexing for nanopore tRNA sequencing with higher precision and efficiency.

The paper introduces MoDorado, an algorithm that detects tRNA modifications beyond those trained in existing models, identifying seven new modifications in S. pombe.

WarpDemuX improves multiplexing accuracy and speed for nanopore dRNA-seq, enabling efficient phenotyping of SARS-CoV-2 variants and real-time RNA enrichment.

This study evaluates sequencing accuracy and systematic errors in direct RNA sequencing across species and synthetic RNA, identifying error patterns and their implications for downstream applications.

FrameRate predicts coding frames from unassembled metagenomic reads using machine learning, bypassing assembly and capturing functional profiles efficiently.

DeepViral improves prediction of virus-host protein interactions by incorporating disease phenotypes and protein sequences.

D4 identifies potential drug-drug interactions and their mechanisms using deep learning from drug phenotypic and functional data, achieving high accuracy on known interactions and discovering novel ones.

The paper predicts host-pathogen interactions by integrating phenotypic, functional, and taxonomic knowledge using an ontology-based machine learning method.