A5052955078- Bioinformatics and Genomic Networks
- Genetics, Bioinformatics, and Biomedical Research
- DNA and Nucleic Acid Chemistry
- RNA regulation and disease
- Animal Ecology and Behavior Studies
- Mathematical and Theoretical Epidemiology and Ecology Models
- Evolution and Genetic Dynamics
- Gene expression and cancer classification
- Currency Recognition and Detection
- RNA and protein synthesis mechanisms
- Generative Adversarial Networks and Image Synthesis
- Genomics and Chromatin Dynamics
- Biomedical Text Mining and Ontologies
- Parkinson's Disease Mechanisms and Treatments
- Genetic Mapping and Diversity in Plants and Animals
- Microplastics and Plastic Pollution
- Genetic Associations and Epidemiology
- Digital Media Forensic Detection
Xi'an University of Architecture and Technology
2025
Minzu University of China
2025
Bioscience (China)
2024
Hong Kong University of Science and Technology
2024
University of Hong Kong
2024
National Changhua University of Education
2006
Abstract The bendability of genomic DNA, which measures the DNA looping rate, is crucial for numerous biological processes DNA. Recently, an advanced high-throughput technique known as ‘loop-seq’ has made it possible to measure inherent cyclizability fragments. However, quantifying large-scale costly, laborious, and time-consuming. To close gap between rapidly evolving large language models expanding sequence information, elucidate bendability’s impact on critical regulatory motifs such...
Microplastics, rapidly expanding and durable pollutant, have been shown to significantly impact gut microbiota across a spectrum of animal species. However, comprehensive analyses comparing microplastic effects on among these species are still limited, the critical factors driving remain be clarified. To address issues, we compiled 1352 samples from six categories, employing machine learning conduct an in-depth meta-analysis. Our study revealed that mice, compared with other animals, not...
Large language models have already demonstrated their formidable capabilities in general domains, ushering a revolutionary transformation. However, exploring and exploiting the extensive knowledge of these to comprehend multi-omics biology remains underexplored. To fill this research gap, we first introduce Biology-Instructions, large-scale biological sequences-related instruction-tuning dataset including DNA, RNA, proteins, multi-molecules, designed bridge gap between large (LLMs) complex...