The field of machine learning, which aims to develop computer algorithms that improve with
experience, holds promise to enable computers to assist humans in the analysis of large …

Metagenomic sequencing provides a culture-independent avenue to investigate the
complex microbial communities by constructing metagenome-assembled genomes (MAGs) …

Genomics, epigenomics, transcriptomics, proteomics and metabolomics efforts rapidly
generate a plethora of data on the activity and levels of biomolecules within mammalian …

Pathogen infection is a dynamic process. Here, we employ single-cell transcriptomics to
investigate plant response heterogeneity. By generating an Arabidopsis thaliana leaf atlas …

Cell-to-cell communication across multiple cell types and tissues strictly governs proper
functioning of metazoans and extensively relies on interactions between secreted ligands …

Background System-wide profiling of genes and proteins in mammalian cells produce lists of
differentially expressed genes/proteins that need to be further analyzed for their collective …

Recently, we reported the discovery of three novel coronaviruses, bulbul coronavirus
HKU11, thrush coronavirus HKU12, and munia coronavirus HKU13, which were identified …

Automated annotation of protein function is challenging. As the number of sequenced
genomes rapidly grows, the overwhelming majority of protein products can only be …

Effectors play a central role in determining the outcome of plant− pathogen interactions. As
key virulence proteins, effectors are collectively indispensable for disease development. By …

Detection of protein families in large databases is one of the principal research objectives in
structural and functional genomics. Protein family classification can significantly contribute to …