RNA-binding proteins (RBPs) are critical effectors of gene expression, and as such their
malfunction underlies the origin of many diseases. RBPs can recognize hundreds of …

RNA molecules start assembling into ribonucleoprotein (RNP) complexes during
transcription. Dynamic RNP assembly, largely directed by cis-acting elements on the RNA …

Deep learning, which is especially formidable in handling big data, has achieved great
success in various fields, including bioinformatics. With the advances of the big data era in …

RNA binding proteins (RBPs) orchestrate the production, processing, and function of
mRNAs. Here, we present the affinity landscapes of 78 human RBPs using an unbiased …

Knowing the sequence specificities of DNA-and RNA-binding proteins is essential for
developing models of the regulatory processes in biological systems and for identifying …

Upon exposure to stress, tRNAs are enzymatically cleaved, yielding distinct classes of tRNA-
derived fragments (tRFs). We identify a novel class of tRFs derived from tRNA Glu, tRNA …

Long non-coding RNAs (lncRNAs) are associated to a plethora of cellular functions, most of
which require the interaction with one or more RNA-binding proteins (RBPs); similarly, RBPs …

Extracting inherent valuable knowledge from omics big data remains as a daunting problem
in bioinformatics and computational biology. Deep learning, as an emerging branch from …

RNA-binding proteins are key regulators of gene expression, yet only a small fraction have
been functionally characterized. Here we report a systematic analysis of the RNA motifs …

RNA-binding proteins play crucial roles in the regulation of gene expression, and
understanding the interactions between RNAs and RBPs in distinct cellular conditions forms …