Biological systems are immensely complex, organized into a multi-scale hierarchy of
functional units based on tightly regulated interactions between distinct molecules, cells …

Big data is transforming biomedical research by integrating massive amounts of data from
laboratory experiments, clinical investigations, healthcare records, and the internet of things …

Crop productivity depends on activity of meristems that produce optimized plant
architectures, including that of the maize ear. A comprehensive understanding of …

Analysis of gene expression data is widely used in transcriptomic studies to understand
functions of molecules inside a cell and interactions among molecules. Differential co …

Single-cell RNA-sequencing (scRNA-seq) technology provides a new avenue to discover
and characterize cell types; however, the experiment-specific technical biases and analytic …

Single-cell transcriptomics provides an opportunity to characterize cell-type-specific
transcriptional networks, intercellular signaling pathways and cellular diversity with …

Differential expression (DE) is commonly used to explore molecular mechanisms of
biological conditions. While many studies report significant results between their groups of …

Unraveling gene function is pivotal to understanding the signaling cascades that control
plant development and stress responses. As experimental profiling is costly and labor …

Advancements in genomic and proteomic technologies have powered the creation of large
gene and protein networks (“interactomes”) for understanding biological systems. However …

Co-fractionation mass spectrometry (CF-MS) has emerged as a powerful technique for
interactome mapping. However, there is little consensus on optimal strategies for the design …