HaDeX: an R package and web-server for analysis of data from hydrogen-deuterium exchange mass spectrometry experiments

Weronika Puchała , Michał Burdukiewicz , M Kistowski , Katarzyna A Dkşbrowska , Aleksandra E Badaczewska-Dawid , D. Cysewski , Michał Dadlez


Motivation Hydrogen-deuterium mass spectrometry (HDX-MS) is a rapidly developing technique for monitoring dynamics and interactions of proteins. The development of new devices has to be followed with new software suites adressing emerging standards in data analysis. Results We propose HaDeX, a novel tool for processing, analysis and vizualisation of HDX-MS experiments. HaDeX supports a reproducible analytical process, including data exploration, quality control and generation of publication-quality figures. Availability HaDeX is available primarily as a web-server (http://mslab-ibb.pl/shiny/HaDeX/), but its all functionalities are also accessible as the R package (https://CRAN.R-project.org/package=HaDeX) and standalone software (https://sourceforge.net/projects/HaDeX/). Supplementary information Supplementary data are available at Bioinformatics online.
Author Weronika Puchała
Weronika Puchała,,
, Michał Burdukiewicz (FMIS / DCSDCAM)
Michał Burdukiewicz,,
- Department of CAD/CAM Systems Design and Computer-Aided Medicine
, M Kistowski
M Kistowski,,
, Katarzyna A Dkşbrowska
Katarzyna A Dkşbrowska,,
, Aleksandra E Badaczewska-Dawid
Aleksandra E Badaczewska-Dawid,,
, D. Cysewski
D. Cysewski,,
, Michał Dadlez
Michał Dadlez,,
Journal seriesBioinformatics, ISSN 1367-4803, e-ISSN 1460-2059
Issue year2020
Publication size in sheets0.3
Keywords in PolishHDX-MS, proteomika
Keywords in EnglishHDX-MS, proteomics
ASJC Classification1303 Biochemistry; 1312 Molecular Biology; 1703 Computational Theory and Mathematics; 1706 Computer Science Applications; 2605 Computational Mathematics; 2613 Statistics and Probability
Abstract in PolishPraca prezentuje nowe narzędzie do analizy wyników eksperymentów wymiany wodór-deuteur monitorowanej spektrometrią mas.
URL https://academic.oup.com/bioinformatics/article/doi/10.1093/bioinformatics/btaa587/5862011
Languageen angielski
Score (nominal)200
Score sourcejournalList
ScoreMinisterial score = 200.0, 16-07-2020, ArticleFromJournal
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2018 = 1.869; WoS Impact Factor: 2018 = 4.531 (2) - 2018=8.86 (5)
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