ArticleBioinformatics (Oxford, England)2025
PepMapViz: a versatile toolkit for peptide mapping, visualization, and comparative exploration.
Article in Bioinformatics (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- A single point mutation on FLT3L-Fc protein increases the risk of immunogenicity.Frontiers in immunology · 2025Article
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Authors and funding
3 authors.
Funding
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Abstract
summaryPepMapViz is a versatile R package that provides flexible peptide mapping and visualization capabilities. PepMapViz can import peptide data output from multiple popular mass spectrometry analysis tools, map peptides to their parent protein sequences, highlight protein domains and modifications, and enable comparative visualization across multiple experimental conditions. Beyond enabling visualization of MHC-presented peptide clusters in different antibody regions to predict potential immunogenicity of antibody-based therapies, PepMapViz can also aid in the visualization of cross-software mass spectrometry results at the peptide level for specific proteins, domain details in a linearized format, and post-translational modification coverage across different experimental conditions. AVAILABILITY AND IMPLEMENTATION: PepMapViz is freely available on GitHub at https://github.com/Genentech/PepMapViz and on CRAN. The package is implemented in R and includes documentation and example datasets.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.