Yang Yang

RabbitCD-HIT clusters billion-scale protein sequences efficiently, achieving faster performance than CD-HIT on large datasets.

CircRNA-Pro detects differentially expressed and translatable circRNAs using integrated algorithms and validation against databases, validated on breast cancer and SARS-CoV-2 datasets.

The paper introduces CircSite, a deep learning tool that predicts RBP binding sites on circRNAs at single-nucleotide resolution and identifies key binding subsequences.

This study characterizes mitochondrial genomes in 2,700 cancer patients across 37 types using whole-genome sequencing and RNA-seq, revealing mutational patterns, truncating mutations, and nuclear transfer of mitochondrial DNA.

The paper introduces CRIP, a deep learning method for predicting circRNA-RBP interactions using RNA sequences, outperforming existing methods with a hybrid CNN-RNN architecture.