Picked Protein Group FDR
Scalable, accurate and sensitive protein group FDRs for large-scale mass spectrometry experiments.
Different search engine outputs are supported:
- MaxQuant (LFQ, TMT, SILAC)
- Percolator (no quantification)
- FragPipe (LFQ)
- Sage (LFQ)
- DIA-NN (LFQ)
- Mokapot (no quantification)
- Oktoberfest (no quantification)
- MS2Rescore (no quantification)
Documentation
The official Picked Group FDR documentation can be found at https://picked-group-fdr.readthedocs.io.
The documentation includes installation instructions, basic usage principles, examples and the API documentation.
Additionally, examples on how to run Picked Protein Group FDR with different search engine outputs can be found in the data/ folder.
How to cite
Please cite the main publication:
The, M., Samaras, P., Kuster, B., & Wilhelm, M. (2022). Reanalysis of ProteomicsDB Using an Accurate, Sensitive, and Scalable False Discovery Rate Estimation Approach for Protein Groups. Molecular & Cellular Proteomics, 21(12).
1 maintainer
Release files for picked-group-fdr 0.9.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| picked_group_fdr-0.9.2.tar.gz | 214.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| picked_group_fdr-0.9.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 465.2 kB
Release files / picked_group_fdr-0.9.2.tar.gz
| Download URL | picked_group_fdr-0.9.2.tar.gz |
|---|---|
| Size | 214.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / picked_group_fdr-0.9.2-py3-none-any.whl
| Download URL | picked_group_fdr-0.9.2-py3-none-any.whl |
|---|---|
| Size | 250.6 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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No |
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twine/6.2.0 CPython/3.9.25
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