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DIA-BERT: a pre-trained model for data-independent acquisition mass spectrometry-based proteomics data analysis

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DIA-BERT

Description

DIA-BERT: a pre-trained model for data-independent acquisition mass spectrometry-based proteomics data analysis

Software

The software and manual can be downloaded from the website https://guomics.com/DIA-BERT/. On Windows systems, download and unzip the zip file. Click on DIA-BERT.exe to run without installation. On Linux, download the file from the release. DIA-BERT runs install-free and requires no additional configuration of the environment.

Installation

If you want to use DIA-BERT by source code, you can install python and install requirements package.

Prerequisites

Please make sure you have a valid installation of conda or miniconda. We recommend setting up miniconda as described on their website.

git clone https://github.com/guomics-lab/DIA-BERT.git
cd DIA-BERT
conda create -n DIA-BERT python=3.10
conda activate DIA-BERT
pip install -r requirements.txt

Run GUI

python main_applet.py

Windows command-line run

python main_win.py

Linux command-line run

python main_linux.py

Hardware Requirements:

• Operating System: Supports both Windows and Linux operating systems.

• Processor: A dual-core processor is recommended, but it can run on a single-core processor.

• Memory: 40GB or more is recommended. If the mass spectrometry files or library files to be identified are large, it is advised to use more memory.

• Storage: At least 100GB of available hard disk space is recommended.

• Graphics Card: A 40GB NVIDIA GPU with CUDA support or a V100 32GB GPU is recommended.

License

This software is licensed under a custom license that allows academic use but prohibits commercial use. For more details, see the LICENSE file.

Contact

For any questions or licensing inquiries, please contact: Dr Guo E-mail: guotiannan@westlake.edu.cn www.guomics.com

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DIA-BERT: a pre-trained model for data-independent acquisition mass spectrometry-based proteomics data analysis

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