Peng Ken Lim

This paper introduces TEA-GCN, a method for constructing gene co-functional and co-regulatory networks from public RNA-seq data, showing improved performance and cross-species conservation.

The paper generates transcriptomic data for 22 fern species to study their evolutionary genetics and cell wall composition, revealing unique gene families and divergent cell wall biochemistry.

LSTrAP-denovo generates transcriptome atlases for eukaryotic species without genomes by assembling and annotating RNA-seq data.

The paper uses k-means clustering to identify condition-specific co-expressed genes in tea plants, finding a gene involved in the bud-prealbinism stage of 'Anji Baicha'.

The paper constructs a comparative transcriptome database for Camellia sinensis to identify genes involved in flavonoid synthesis across tea cultivars.

Bacteria.guru provides a database for comparative transcriptomics and co-expression networks of bacterial pathogens to aid in understanding gene function and antibiotic resistance.