ImmunAID-ms-parameters

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Main Authors: Poulet, Christophe, Baiwir, Dominique
Format: Recurso digital
Published: Zenodo 2026
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author Poulet, Christophe
Baiwir, Dominique
author_facet Poulet, Christophe
Baiwir, Dominique
contents <div> <div> <div> <div># ImmunAID-ms-parameters</div> <br> <div>Normalization parameters used to generate the proteomics data for the paper:</div> <br> <div>**Adult patients with autoinflammation of unknown origin partially phenocopy the immune presentation of Still’s disease**</div> <br> <div>## Content of FragPipe parameters folder</div> <div> </div> </div> This repository includes two key configuration files for the FragPipe/MSFragger pipeline.</div> <br> <div>- The `fragger.params` file defines all database search settings (e.g. enzyme specificity, mass tolerances, allowed missed cleavages, and fixed/variable modifications), ensuring the MS/MS search is fully reproducible and its search space is clearly documented.</div> <br> <div>- The `sdrf.tsv` file follows the Sample and Data Relationship Format and describes the experimental design and sample metadata for each LC-MS/MS run (such as biological conditions, replicates, and raw file paths), enabling correct sample grouping, downstream statistical analysis, and transparent linkage between raw data and biological context.</div> <div> </div> <div> <div> <div>## How to cite:</div> <div>If you use these parameters, please cite it as follows:</div> <br> <div>Poulet, C., & Baiwir, D. (2026). ImmunAID-ms-parameters (Version 1.0.0) [Dataset]. University of Liège - GIGA Institute. Zenodo. https://doi.org/10.5281/zenodo.18413673</div> <div>License: CC BY-NC-ND 4.0</div> <div>Repository: https://gitlab.uliege.be/giga-rheumatology/public/immunaid-ms-parameters</div> </div> </div> </div>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18413673
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle ImmunAID-ms-parameters
Poulet, Christophe
Baiwir, Dominique
<div> <div> <div> <div># ImmunAID-ms-parameters</div> <br> <div>Normalization parameters used to generate the proteomics data for the paper:</div> <br> <div>**Adult patients with autoinflammation of unknown origin partially phenocopy the immune presentation of Still’s disease**</div> <br> <div>## Content of FragPipe parameters folder</div> <div> </div> </div> This repository includes two key configuration files for the FragPipe/MSFragger pipeline.</div> <br> <div>- The `fragger.params` file defines all database search settings (e.g. enzyme specificity, mass tolerances, allowed missed cleavages, and fixed/variable modifications), ensuring the MS/MS search is fully reproducible and its search space is clearly documented.</div> <br> <div>- The `sdrf.tsv` file follows the Sample and Data Relationship Format and describes the experimental design and sample metadata for each LC-MS/MS run (such as biological conditions, replicates, and raw file paths), enabling correct sample grouping, downstream statistical analysis, and transparent linkage between raw data and biological context.</div> <div> </div> <div> <div> <div>## How to cite:</div> <div>If you use these parameters, please cite it as follows:</div> <br> <div>Poulet, C., & Baiwir, D. (2026). ImmunAID-ms-parameters (Version 1.0.0) [Dataset]. University of Liège - GIGA Institute. Zenodo. https://doi.org/10.5281/zenodo.18413673</div> <div>License: CC BY-NC-ND 4.0</div> <div>Repository: https://gitlab.uliege.be/giga-rheumatology/public/immunaid-ms-parameters</div> </div> </div> </div>
title ImmunAID-ms-parameters
url https://doi.org/10.5281/zenodo.18413673