Wei Yong Liu

Downstream branches of receptor tyrosine kinase signaling act interdependently to shape the face

The paper inhibits three downstream RTK signaling pathways in chicken embryos and finds they cause similar truncation of the frontonasal process, suggesting interdependent roles in morphogenesis.

Temporal transcriptomic dynamics in developing macaque neocortex

This study maps the temporal transcriptomic changes in rhesus macaque neocortex during neurogenesis, revealing distinct lineage trajectories and signaling pathway divergence.

Multi-ancestry genome-wide association study improves resolution of genes, pathways and pleiotropy for lung function and chronic obstructive pulmonary disease

This study performs a multi-ancestry GWAS on lung function and COPD, identifying 559 genes and 29 pathways, and showing genetic risk scores are associated with COPD across ancestries.

The pan-genome and local adaptation of Arabidopsis thaliana

This study de novo assembles high-quality genomes of 38 Arabidopsis thaliana ecotypes using long-read sequencing, identifies new genes and structural variations linked to local adaptation, and highlights the role of SVs in environmental adaptation.

Ancient genomes redate the extinction of Sussemionus, a subgenus of Equus, to late Holocene

The paper sequences ancient genomes of Sussemionus, re-dating its extinction to the late Holocene and revealing genetic divergence and admixture events in the Equus lineage.

Variation of the vaginal microbiome during and after pregnancy in Chinese women

This study profiles the vaginal microbiome of Chinese women during pregnancy and 6 weeks postpartum, identifying variations linked to medical history and pregnancy outcomes.

Target Enrichment Enhances the Sensitivity of Sanger Sequencing for BRAF V600 Mutation Detection

This paper enhances Sanger sequencing sensitivity for detecting BRAF V600 mutations using target enrichment, achieving 0.04% variant allele frequency detection.

AutoVEM2: a flexible automated tool to analyze candidate key mutations and epidemic trends for virus

AutoVEM2 is a flexible automated tool for analyzing candidate key mutations and epidemic trends in viruses, demonstrating its effectiveness with SARS-CoV-2, HBV, and HPV-16.

Real-time monitoring epidemic trends and key mutations in SARS-CoV-2 evolution by an automated tool

The paper introduces an automated tool, AutoVEM, to monitor SARS-CoV-2 haplotype subgroup trends and key mutations, analyzing 131,576 genomes in 18 hours.