Quantitative mass spectrometry workflow. Currently supports proteomics experiments with complex experimental designs for DDA-LFQ, DDA-Isobaric and DIA-LFQ quantification.
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Updated
Aug 29, 2024 - Nextflow
Quantitative mass spectrometry workflow. Currently supports proteomics experiments with complex experimental designs for DDA-LFQ, DDA-Isobaric and DIA-LFQ quantification.
Library for mass spectrometry projects
PDV: an integrative proteomics data viewer
NeoFlow: a proteogenomics pipeline for neoantigen discovery
Python tools for proteogenomics analysis toolkit
Software for RNA-Seq analysis to create sample-specific proteoform databases from RNA-Seq data
PGA: a tool for ProteoGenomics Analysis
ProteomeGenomics Database Creation - Nextflow Pipeline
PGATK: ProteoGenomics Analysis ToolKit
The ProteoGenomics database generation workflow creates different protein databases for ProteoGenomics data analysis.
Customized protein database construction
In Silico Trypsin/Lys-C Clevage Site Prediction
Proteogenomics database-generation tool for protein haplotypes and variants
Library for Proteomics research literatures, tools and databases.
A python library with scripts and helpers classes for quantms workflow
Python packages for easy execution of proteogenomic workflow
This project aims at defining a set of guidelines for reproducible mass spectrometry-based experiments.
Multi-Omics Peptide Generator
Proteomic evidences can improve the existing genome annotation by finding novel coding regions or genome reannotations. These scripts can perform such tasks.
Protegenomics analysis based on Pangenome references
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