Qiao Wen Tan

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.

The paper updates the diurnal.plant.tools database by adding diurnal gene expression data from four crop species and Marchantia polymorpha, enhancing cross-species comparisons and evolutionary insights into circadian clocks.

The paper uses crowdsourced analysis of RNA-seq data to identify uncharacterized genes associated with protein synthesis in bacterial pathogens.

LSTrAP-Cloud is a cloud-based pipeline that infers gene co-expression networks from RNA sequencing data to identify functionally related genes.

The paper demonstrates using a low-cost computer to predict gene function and infer regulatory networks from RNA sequencing data in Artemisia annua.

The paper introduces Malaria.tools, a database that integrates genomic and transcriptomic data from Plasmodium species to predict gene function and identify pathogenicity-related genes.