Nextflow workflow for performing DIA proteomics
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Updated
Oct 16, 2024 - Nextflow
Nextflow workflow for performing DIA proteomics
This project is created by the Hao Lab at the Chemistry Department in George Washington University, Washington, D.C. This project aims to provide contaminant protein FASTA and spectral libraries that can be universally applied to DDA and DIA proteomics and freely accessible for the proteomics community.
Quantitative mass spectrometry workflow. Currently supports proteomics experiments with complex experimental designs for DDA-LFQ, DDA-Isobaric and DIA-LFQ quantification.
Proper Image utils for astronomy.
Discover diverse relationship diagrams crafted with Dia. Explore entity-relationship, flowcharts, and network diagrams. Collaborate seamlessly, making complex systems accessible for learning and project development.
An open-source Python package for efficient accession and visualization of Bruker TimsTOF raw data from the Mann Labs at the Max Planck Institute of Biochemistry.
Composite Spectra Analysis
Reference implementation of the MASD Code Generator.
prepare peptide spectrum matches for use in targeted proteomics using R and Bioconductor
Concevoir la solution technique d'une application de restauration en ligne
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