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HDXBoxeR: an R package for statistical analysis and visualization of multiple Hydrogen–Deuterium Exchange Mass-Spectrometry datasets of different protein states.

Authors :
Janowska, Maria K
Reiter, Katherine
Magala, Pearl
Guttman, Miklos
Klevit, Rachel E
Source :
Bioinformatics. Aug2024, Vol. 40 Issue 8, p1-4. 4p.
Publication Year :
2024

Abstract

Summary Hydrogen–Deuterium Exchange Mass Spectrometry (HDX-MS) is a powerful protein characterization technique that provides insights into protein dynamics and flexibility at the peptide level. However, analyzing HDX-MS data presents a significant challenge due to the wealth of information it generates. Each experiment produces data for hundreds of peptides, often measured in triplicate across multiple time points. Comparisons between different protein states create distinct datasets containing thousands of peptides that require matching, rigorous statistical evaluation, and visualization. Our open-source R package, HDXBoxeR, is a comprehensive tool designed to facilitate statistical analysis and comparison of multiple sets among samples and time points for different protein states, along with data visualization. Availability and implementation HDXBoxeR is accessible as the R package (https://cran.r-project.org/web//packages/HDXBoxeR) and GitHub: mkajano/HDXBoxeR. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13674803
Volume :
40
Issue :
8
Database :
Academic Search Index
Journal :
Bioinformatics
Publication Type :
Academic Journal
Accession number :
179376014
Full Text :
https://doi.org/10.1093/bioinformatics/btae479