Abstract Detecting structural variations (SVs) via long-read sequencing remains difficult due to algorithmic variations and genomic complexity, alongside a shortage of comprehensive benchmarks for somatic variants. We present a unified benchmarking framework covering both germline and somatic SV detection, which evalua...
Hua Shi, Yi-Hang Lin, Da-Chen Liu et al.· Briefings in Bioinformatics· 0 citations
Experimental results show that Hyp-Retro outperforms comparative methods in terms of search success rate and route yield, and it can adaptively adjust its planning strategy under different yield preferences, thereby generating high-quality retrosynthetic routes that better satisfy target-specific requirements.
A multimodal dual-contrastive learning framework for peptide property prediction is proposed, which improves both the structural encoder and the contrastive learning strategy to enhance the quality of joint sequence-structure representations.
Jiajie Cai, Shuwen Xiong, Yuntao Yang et al.· ACS Synthetic Biology· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.