CAT Bridge (Compounds And Transcripts Bridge) CAT Bridge is a comprehensive multi-omics integration and analysis tool, It stands out in its ability to identify gene-metabolite pairs with biological association by fusing transcriptomic and metabolomic data. This is accomplished through the combined use of causality modeling and artificial intelligence.
Comprehensive Analysis Pipeline: From data preprocessing to association computing and result presentation, CAT Bridge supports a complete workflow.
Diverse Statistical Methods: Incorporates seven statistical algorithms for causality estimation and correlation calculation, enabling detailed analysis of gene-metabolite pairs.
Artificial Intelligence Assistance: Features an AI agent powered by large language models to interpret association results and provide insights.
Multiple Access Options: Available as a web server, standalone application, and Python library to cater to different user needs.
Visualization Tools: Offers a range of visualization options for data interpretation, including heatmaps, similarity networks, and trend analyses.
- Web Server: CAT Bridge Web Server
- Python packge install
pip install catbridge
To inform us of any bugs, please open a new issue or send an email to by8@ualberta.ca
Yang, Bowen, Tan Meng, Xinrui Wang, Jun Li, Shuang Zhao, Yingheng Wang, Shu Yi, Yi Zhou, Yi Zhang, Liang Li, and Li Guo. "Cat Bridge: An Efficient Toolkit for Compound-Transcript Association Mining from Multi-Omics Data." bioRxiv (2024): 2024.01.21.576587. https://dx.doi.org/10.1101/2024.01.21.576587.