| Title |
HaDeX2: multi-dimensional analysis of hydrogen–deuterium exchange mass spectrometry data |
| Authors |
Puchała, Weronika ; Grzesiak, Krystyna ; Rafacz, Dominik ; Kistowski, Michał ; Smit, Jochem H ; Marcoux, Julien ; Dadlez, Michał ; Burdukiewicz, Michal Jan |
| DOI |
10.1093/bioinformatics/btag128 |
| Full Text |
|
| Is Part of |
Bioinformatics.. Oxford : Oxford University Press. 2026, vol. 42, iss. 3, p. [1-5].. ISSN 1367-4803. eISSN 1367-4811 |
| Abstract [eng] |
Summary: Hydrogen–Deuterium Exchange Mass Spectrometry (HDX-MS) monitors deuterium uptake at the peptide level, in a time-dependent manner. It produces complex, multi-dimensional data that must be interpreted at minimum both the temporal and sequence levels. Specialized tools are therefore essential to preprocess, integrate, and analyze HDX-MS data and translate it into meaningful biological insights. HaDeX2 provides statistical inferences and their visualizations across five dimensions of HDX-MS data: protein sequence, time, biological states, peptide charge and experimental replicates. Availability and implementation: HaDeX2 is freely available as an R package (https://github.com/hadexversum/HaDeX2; https://doi.org/10.5281/zenodo.18543703) and web server (https://hadex2.mslab-ibb.pl/). To run the GUI locally, users should install a dedicated companion package (https://github.com/hadexversum/HaDeXGUI). |
| Published |
Oxford : Oxford University Press |
| Type |
Journal article |
| Language |
English |
| Publication date |
2026 |
| CC license |
|
