Protein Identification with Deep Learning
modular & open DIA search
Modular and user-friendly platform for AI-assisted rescoring of peptide identifications
Collects software dedicated to predicting specific properties of peptides
MS²PIP: Fast and accurate peptide spectrum prediction for multiple fragmentation methods, instruments, and labeling techniques.
Ursgal - universal Python module combining common bottom-up proteomics tools for large-scale analysis
Pipeline for de novo peptide sequencing (Novor, DeepNovo, SMSNet, PointNovo, Casanovo) and assembly with ALPS.
Common utilities for parsing and handling peptide-spectrum matches and search engine results in Python
Visualizing and Analyzing Mass Spectrometry Related Data in Proteomics
A tool for mass spectrometry data analysis.
PepQuery: a targeted peptide search engine
A spectacularly simple package for working with peptide sequences.
DeepRescore: rescore PSMs leveraging deep learning-derived peptide features
PTM-Invariant Peptide Identification. An open search tool.
Predicts anticancer peptides using random forests trained on the n-gram encoded peptides. The implemented algorithm can be accessed from both the command line and shiny-based GUI.
MS Amanda is a scoring system to identify peptides out of tandem mass spectrometry data using a database of known proteins.
Protein Cleaver is a versatile tool for protein analysis and digestion.
This project has been deprecated. Please use ECL2 (https://github.com/fcyu/ECL2).
Highly customizable research-oriented peptide search engine
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