MhcVizPipe: A Quality Control Software for Rapid Assessment of Small- to Large-Scale Immunopeptidome Datasets. Kovalchik, K. A., Ma, Q., Wessling, L., Saab, F., Duquette, J. D., Kubiniok, P., Hamelin, D. J., Faridi, P., Li, C., Purcell, A. W., Jang, A., Paramithiotis, E., Tognetti, M., Reiter, L., Bruderer, R., Lanoix, J., Bonneil, É., Courcelles, M., Thibault, P., Caron, E., & Sirois, I. Molecular & Cellular Proteomics, 21(1):100178, January, 2022. ![MhcVizPipe: A Quality Control Software for Rapid Assessment of Small- to Large-Scale Immunopeptidome Datasets [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex MS-based immunopeptidomics is maturing into an automatized and high-throughput technology, producing small- to large-scale datasets of clinically relevant major histocompatibility complex (MHC) class I-associated and class II-associated peptides. Consequently, the development of quality control (QC) and quality assurance systems capable of detecting sample and/or measurement issues is important for instrument operators and scientists in charge of downstream data interpretation. Here, we created MhcVizPipe (MVP), a semiautomated QC software tool that enables rapid and simultaneous assessment of multiple MHC class I and II immunopeptidomic datasets generated by MS, including datasets generated from large sample cohorts. In essence, MVP provides a rapid and consolidated view of sample quality, composition, and MHC specificity to greatly accelerate the “pass–fail” QC decision-making process toward data interpretation. MVP parallelizes the use of well-established immunopeptidomic algorithms (NetMHCpan, NetMHCIIpan, and GibbsCluster) and rapidly generates organized and easy-to-understand reports in HTML format. The reports are fully portable and can be viewed on any computer with a modern web browser. MVP is intuitive to use and will find utility in any specialized immunopeptidomic laboratory and proteomics core facility that provides immunopeptidomic services to the community.
@article{kovalchik_mhcvizpipe_2022,
title = {{MhcVizPipe}: {A} {Quality} {Control} {Software} for {Rapid} {Assessment} of {Small}- to {Large}-{Scale} {Immunopeptidome} {Datasets}},
volume = {21},
issn = {1535-9476},
shorttitle = {{MhcVizPipe}},
url = {https://www.sciencedirect.com/science/article/pii/S153594762100150X},
doi = {10.1016/j.mcpro.2021.100178},
abstract = {MS-based immunopeptidomics is maturing into an automatized and high-throughput technology, producing small- to large-scale datasets of clinically relevant major histocompatibility complex (MHC) class I-associated and class II-associated peptides. Consequently, the development of quality control (QC) and quality assurance systems capable of detecting sample and/or measurement issues is important for instrument operators and scientists in charge of downstream data interpretation. Here, we created MhcVizPipe (MVP), a semiautomated QC software tool that enables rapid and simultaneous assessment of multiple MHC class I and II immunopeptidomic datasets generated by MS, including datasets generated from large sample cohorts. In essence, MVP provides a rapid and consolidated view of sample quality, composition, and MHC specificity to greatly accelerate the “pass–fail” QC decision-making process toward data interpretation. MVP parallelizes the use of well-established immunopeptidomic algorithms (NetMHCpan, NetMHCIIpan, and GibbsCluster) and rapidly generates organized and easy-to-understand reports in HTML format. The reports are fully portable and can be viewed on any computer with a modern web browser. MVP is intuitive to use and will find utility in any specialized immunopeptidomic laboratory and proteomics core facility that provides immunopeptidomic services to the community.},
language = {en},
number = {1},
urldate = {2023-07-10},
journal = {Molecular \& Cellular Proteomics},
author = {Kovalchik, Kevin A. and Ma, Qing and Wessling, Laura and Saab, Frederic and Duquette, Jérôme D. and Kubiniok, Peter and Hamelin, David J. and Faridi, Pouya and Li, Chen and Purcell, Anthony W. and Jang, Anne and Paramithiotis, Eustache and Tognetti, Marco and Reiter, Lukas and Bruderer, Roland and Lanoix, Joël and Bonneil, Éric and Courcelles, Mathieu and Thibault, Pierre and Caron, Etienne and Sirois, Isabelle},
month = jan,
year = {2022},
keywords = {MHC, MS, immunopeptidomics, peptide, software},
pages = {100178},
}
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