- Bulk plexDIA Website | Download data
- Single-cell plexDIA Website | Download data
- Preprint | Nature Biotechnology Article
Perspective: Derks, J., Slavov N., Strategies for increasing the depth and throughput of protein analysis by plexDIA, 10.1101/2022.11.05.515287, GitHub J. Proteome Res. 22(10):3149-3158 10.1021/acs.jproteome.3c00177
This application has been tested on R >= 3.5.0, OSX 10.14 / Windows 7/8/10. R can be downloaded from the main R Project page or downloaded with the RStudio Application.
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Download all the data reports from the "search" section of MassIVE MSV000089093.
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Download the two meta files from the "metadata" section of MassIVE (specifically, "Meta_SingleCell.tsv" and "Meta_Bulk_benchmarking.tsv") MSV000089093.
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Create a new R project, and copy the .Rmd, .R, .py, and .txt files from the Code section (https://github.com/SlavovLab/plexDIA) to it. Note: The main functions are in plexDIA_Functions.R, but it uses the other functions in the code directory, so please download all.
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Please update the file paths in the .Rmd.
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Run!
The manuscript is freely available on bioRxiv: Derks et al., 2022 (version 2). The peer reviewed version is available at Nature Biotechnology: Derks et al., 2022
For more information, contact Slavov Laboratory or directly Prof. Nikolai Slavov
The plexDIA code is distributed by an MIT license.
Please feel free to contribute to this project by opening an issue or pull request.
For any bugs, questions, or feature requests, please use the GitHub issue system to contact the developers.