Zhen Li

The paper investigates the origin of Chloranthales by analyzing subgenome phylogenies and finds evidence of an ancient allopolyploidization event involving monocot and eudicot lineages.

The paper develops DeepMp, a deep learning framework, to identify microproteins in maize and links them to amino acid metabolism, finding three validated regulators.

This study examines how environmental factors drive spatial variations in microbial communities across different shores of Erhai Lake, identifying key drivers and their ecological implications.

This study presents a chromosome-level genome assembly of Pinus massoniana Minlin WY36, revealing insights into conifer evolution and resin synthesis.

The paper presents chromosome-level genomes for two orchids, revealing insights into their evolutionary relationships and genome size variation.

The paper presents the genome of Chinese fir, revealing evolutionary insights into gymnosperms and seed plant origins through phylogenomic and genomic analyses.

This study identifies coding loci and a large inversion associated with local adaptation in Pinus sylvestris using landscape genomics and targeted sequencing.

The paper infers a novel angiosperm phylogeny using whole-genome microsynteny analysis, revealing new relationships among key clades.

This paper introduces a deep transfer learning method for predicting membrane protein structures, achieving improved contact prediction and accurate 3D models for many membrane proteins.