MassDash is a visualization and data exploration platform for Data-Independent Acquisition mass spectrometry data.
Key Features Include:
- Chromatogram Visualization - Easily view and analyze chromatograms for an in-depth examination of peptide precursors of interest.
- 2D and 3D Visualizations - Visualization of ion mobility enhacanced mass spectrometry and other 2D and 3D plots.
- On the fly parameter optimization - Adjust peak picking parameters on the fly or experiment with novel deep learning based peak picking approaches.
- Algorithm testing - Develop and fine-tune custom algorithms by interfacing with MassDash's various data analysis algorithms and workflows.
- Usage Flexibility - User-friendly web based dashboard for quick visualizations, advanced python package for more complex applications
One Click Installation
For a one-click installation, click on the corresponding badge corresponding to your operating system, or visit the latest release page and download the installer for your operating system.
(Recommended) Pip Installation
The recommended way of installing MassDash is through the Python Package Index (PyPI). We recommend installing MassDash in its own virtual environment using Anaconda to avoid packaging conflicts.
First create a new environemnt:
conda create --name=massdash python=3.9
conda activate massdash
Then in the new environment install MassDash.
pip install massdash --upgrade
After installation the GUI can be launched in the Terminal/Anaconda Prompt using
massdash gui
For detailed OS-specific (Windows, MacOS, Ubuntu) installation guides, please refer to the documentation.
GUI Quick start
Launch MassDash by typing the following command in your terminal/Anaconda Prompt:
massdash gui
For more information on the GUI, please refer to the documentation.
Demo
To run a demo version of MassDash, you can visit the streamlit cloud hosted demo version here. Note that full functionality is not avaliable in the demo app.
Documentation
For more information (API and tutorial walk-throughs), please refer to the documentation.
Contribute
Support
If you are having issues or would like to propose a new feature, please use the issues tracker.
License
This project is licensed under the BSD 3-Clause license.
Citation
Sing JC, Charkow J, AlHigaylan M, Horecka I, Xu L, Röst HL. MassDash: A Web-Based Dashboard for Data-Independent Acquisition Mass Spectrometry Visualization. J Proteome Res. 2024 Jun 7;23(6):2306-2314. doi: 10.1021/acs.jproteome.4c00026. Epub 2024 Apr 29.
Metadata
Release files for massdash 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| massdash-0.1.1.tar.gz | 5.2 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| massdash-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.5 MB
Release files / massdash-0.1.1.tar.gz
| Download URL | massdash-0.1.1.tar.gz |
|---|---|
| Size | 5.2 MB |
| Tags | Source |
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No |
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Release files / massdash-0.1.1-py3-none-any.whl
| Download URL | massdash-0.1.1-py3-none-any.whl |
|---|---|
| Size | 5.3 MB |
| Tags | Python 3 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.25
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