Chun Shen Lim

This paper uses AI to analyze HBV splicing patterns and shows that splicing efficiency correlates with disease severity, revealing similarities between HBV and host splice sites.

DOTSeq provides a framework to detect differential ORF usage in ribosome profiling data, offering improved sensitivity and FDR control for translational regulation analysis.

RIBOSS integrates long- and short-read sequencing to detect novel translational events in prokaryotic and eukaryotic transcriptomes.

LazyPair predicts protein-protein interactions and their types using random forests trained on residue properties, outperforming existing methods in accuracy and scalability.

The paper shows that modifying synonymous codons in translation initiation sites can tune protein yield in recombinant protein production.

Razor identifies signal peptides from toxins using N-terminal residues, revealing conserved features across kingdoms and discovering toxin-like signal peptides in defensive proteins.

The paper introduces TIsigner and SoDoPE, web tools for optimizing recombinant protein expression and solubility, with linked functionality for gene optimization.

The paper introduces SVCurator, a crowdsourcing app for evaluating structural variants in the human genome, finding high concordance among curators and with existing benchmarks.

The paper introduces a new predictor, SWI, for protein solubility using B-factors and develops a web tool, SoDoPE, to maximize solubility and expression.