DIA-BERT
DIA-BERT is user-friendly Graphical User Interface (GUI) that leverages a transformer based pre-trained artificial intelligence (AI) model for the analysis of data-independent acquisition (DIA) proteomics. Over 276 million of high-quality training samples from real MS files were used for identification model and 34 million of training samples from synthetic MS files were used for quantification model. The tool is well-suited for multi-species datasets, particularly human proteomes. The output of DIA-BERT is provided as summarized tables in CSV format.
This software is currently under development, and we welcome you to try it out. If you have any feedback or suggestions, please let us know. Email address: liuzhiwei (at) westlake.edu.cn; guotiannan (at) westlake.edu.cn. You can also create an issue on the GitHub page: https://github.com/lzw150/DIA-BERT/issues
This software is currently under development, and we welcome you to try it out. If you have any feedback or suggestions, please let us know. Email address: liuzhiwei (at) westlake.edu.cn; guotiannan (at) westlake.edu.cn. You can also create an issue on the GitHub page: https://github.com/lzw150/DIA-BERT/issues