Modular and user-friendly platform for AI-assisted rescoring of peptide identifications
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Updated
Sep 19, 2024 - Python
Modular and user-friendly platform for AI-assisted rescoring of peptide identifications
MS Amanda is a scoring system to identify peptides out of tandem mass spectrometry data using a database of known proteins.
modular & open DIA search
Tools for filtering k-mer data
Common utilities for parsing and handling peptide-spectrum matches and search engine results in Python
MS²PIP: Fast and accurate peptide spectrum prediction for multiple fragmentation methods, instruments, and labeling techniques.
Searching for peptide candidates using sparse matrix + matrix/vector multiplication.
Proof-of-concept implementation of a search engine that uses sparse matrix multiplication to identify the best peptide candidates for a given mass spectrum.
Highly customizable research-oriented peptide search engine
A spectacularly simple package for working with peptide sequences.
DeepRescore: rescore PSMs leveraging deep learning-derived peptide features
PepQuery: a targeted peptide search engine
Protein Cleaver is a versatile tool for protein analysis and digestion.
Template repository for custom backends in MS Annika.
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.
Graph-based algorithm for generating peptide tags from MS/MS data
A peptide fragment ion calculator made with streamlit
Visualizing and Analyzing Mass Spectrometry Related Data in Proteomics
PredGenesGetPepts is an easy-to-use, beginner-friendly pipeline to call genes from fasta files, retrieve peptides and blasting them against a given protein database
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