ProteoPyViz's Stars
rougier/scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
rmcelreath/stat_rethinking_2022
Statistical Rethinking course winter 2022
ml-tooling/best-of-python
🏆 A ranked list of awesome Python open-source libraries and tools. Updated weekly.
pymc-devs/pymc-resources
PyMC educational resources
ColauttiLab/RCrashCourse_Book
A GitBook version of the R Crash Course self-tutorials: https://colauttilab.github.io/RCrashCourse
kusterlab/prosit
Prosit offers high quality MS2 predicted spectra for any organism and protease as well as iRT prediction. When using Prosit is helpful for your research, please cite "Gessulat, Schmidt et al. 2019" DOI 10.1038/s41592-019-0426-7
MannLabs/ProteomicsVisualization
This is a collection of minimal code to visualize various aspects of proteomics data.
jessegmeyerlab/proteomics-tutorial
compomics/ms2pip
MS²PIP: Fast and accurate peptide spectrum prediction for multiple fragmentation methods, instruments, and labeling techniques.
pFindStudio/pDeep
pDeep: Predicting MS/MS Spectra of Peptides with Deep Learning
pwilmart/PAW_pipeline
A Comet-based, best practices proteomics pipeline.
Shao-Group/lecture-notes-for-algorithms
wasimaftab/LIMMA-pipeline-proteomics
LIMMA (an empirical Bayes method) pipeline for two group comparison in a proteomic experiment
mfitzp/padua
Proteomic Data Analysis with Python (pandas, scikit-learn, numpy, scipy)
gygilab/MPToolkit
Mass spec and proteomics toolkit
kusterlab/SIMSI-Transfer
Similarity-based Isobaric MS2 Identification Transfer
lmsac/DeepMS2-phospho
Generate in silico spectral libraries of phosphopeptides and performing spectral matching for phosphorylation site localization.
Villen-Lab/pyAscoreValidation
Validation experiments for the pyAscore python package.