Name | Version | Summary | date |
pyXLMS |
1.3.0 |
A python package to process protein cross-linking data. |
2025-07-25 06:45:06 |
seer-pas-sdk |
0.3.4 |
SDK for Seer Proteograph Analysis Suite (PAS) |
2025-07-23 22:49:32 |
pmultiqc |
0.0.30 |
Python package for quality control of proteomics datasets, based on multiqc package |
2025-07-22 15:16:48 |
ideeplc |
1.1.3 |
iDeepLC: A deep Learning-based retention time predictor for unseen modified peptides with a novel encoding system |
2025-07-18 12:54:21 |
deeplc |
3.1.9 |
DeepLC: Retention time prediction for (modified) peptides using Deep Learning. |
2025-07-14 09:31:18 |
quantms-utils |
0.0.19 |
Python scripts and helpers for the quantMS workflow |
2025-02-24 19:23:37 |
alphamap |
0.1.13 |
None |
2025-02-19 21:30:28 |
pydiaid |
0.0.37 |
An open-source Python package of the AlphaPept ecosystem |
2025-02-12 13:32:03 |
ibaqpy |
0.0.4 |
Python package to compute intensity base absolute expression values |
2025-02-09 10:17:27 |
domaps |
1.0.4 |
Python library for dynamic organellar maps |
2025-02-01 17:25:03 |
msstitch |
3.17 |
MS proteomics post processing utilities |
2025-02-01 10:04:50 |
picked-group-fdr |
0.8.0 |
Scalable, accurate and sensitive protein group FDRs for large-scale mass spectrometry experiments |
2025-01-16 12:41:04 |
triqler |
0.8.0 |
Triqler: TRansparent Identification-Quantification-Linked Error Rates |
2025-01-07 12:31:12 |
quantms-rescoring |
0.0.2 |
quantms-rescoring: Python scripts and helpers for the quantMS workflow |
2024-12-19 05:41:45 |
pixelgen-pixelator |
0.19.0 |
A command-line tool and library to process and analyze sequencing data from Molecular Pixelation (MPX) assays. |
2024-12-10 21:05:12 |
misugaru |
0.1.11 |
A mokapot wrapper with high protein content |
2024-12-10 14:07:19 |
peptdeep |
1.3.1 |
The AlphaX deep learning framework for Proteomics |
2024-12-10 09:36:57 |
ms2rescore |
3.1.4 |
MS²Rescore: Sensitive PSM rescoring with predicted MS² peak intensities and retention times. |
2024-12-04 16:44:38 |
alphadia |
1.9.1 |
A novel proteomics search engine for DIA data based on end-to-end transfer learning. |
2024-11-29 09:38:50 |
CPred |
0.1.1 |
CPred: A deep learning framework for predicting the charge state distribution in modified and unmodified peptides in ESI |
2024-09-30 13:00:46 |