PyDigger - unearthing stuff about Python


NameVersionSummarydate
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
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