ArticleBioinformatics (Oxford, England)2020
The CroCo cross-link converter: a user-centred tool to convert results from cross-linking mass spectrometry experiments.
Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Quantitative interactome mapping of skeletal muscle insulin resistance.Molecular systems biology · 2026Article
- CLAUDIO: automated structural analysis of cross-linking data.Bioinformatics (Oxford, England) · 2024Article
- Mass spectrometry uncovers intermediates and off-pathway complexes for SNARE complex assembly.Communications biology · 2023Article
- Cross-linking mass spectrometry uncovers protein interactions and functional assemblies in synaptic vesicle membranes.Nature communications · 2021Article
- Cleavable Cross-Linkers and Mass Spectrometry for the Ultimate Task of Profiling Protein-Protein Interaction NetworksJournal of proteome research · 2021Review
- Quantitative Cross-Linking of Proteins and Protein Complexes.Methods in molecular biology (Clifton, N.J.) · 2021Article
- PyXlinkViewer: A flexible tool for visualization of protein chemical crosslinking data within the PyMOL molecular graphics system.Protein science : a publication of the Protein Society · 2020Article
- Mass Spectrometry Structural Proteomics Enabled by Limited Proteolysis and Cross-Linking.Mass spectrometry reviewsReview
Corrections and comments
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Authors and funding
2 authors.
Funding
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Abstract
motivationA variety of search engines exists for the identification of peptide spectrum matches after cross-linking mass spectrometry experiments. The resulting diversity in output formats complicates data validation and visualization as well as exchange with collaborators, particularly from other research areas.
resultsHere, we present CroCo, a user-friendly standalone executable to convert cross-linking results to a comprehensive spreadsheet format. Using this format, CroCo can be employed to generate input files for a selection of the commonly utilized validation and visualization tools. AVAILABILITY AND IMPLEMENTATION: The source-code is freely available under a GNU general public license at https://github.com/cschmidtlab/croco. The standalone executable is available and documented at https://cschmidtlab.github.io/CroCo. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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