期刊
BIOINFORMATICS
卷 32, 期 22, 页码 3413-3419出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btw420
关键词
-
类别
资金
- Institut Pasteur [451]
- Centre national de la Recherche Scientifique (CNRS UMR, Biologie Structurale des Processus Cellulaires et Maladies Infectieuses)
- Centre national de la Recherche Scientifique (CNRS USR)
- Investissements d'Avenir through the CACSICE project
Motivation: With the continued improvement of requisite mass spectrometers and UHPLC systems, Hydrogen/Deuterium eXchange Mass Spectrometry (HDX-MS) workflows are rapidly evolving towards the investigation of more challenging biological systems, including large protein complexes and membrane proteins. The analysis of such extensive systems results in very large HDX-MS datasets for which specific analysis tools are required to speed up data validation and interpretation. Results: We introduce a web application and a new R-package named MEMHDX' to help users analyze, validate and visualize large HDX-MS datasets. MEMHDX is composed of two elements. A statistical tool aids in the validation of the results by applying a mixed-effects model for each peptide, in each experimental condition, and at each time point, taking into account the time dependency of the HDX reaction and number of independent replicates. Two adjusted P-values are generated per peptide, one for the 'Change in dynamics' and one for the 'Magnitude of DD', and are used to classify the data by means of a 'Logit' representation. A user-friendly interface developed with Shiny by RStudio facilitates the use of the package. This interactive tool allows the user to easily and rapidly validate, visualize and compare the relative deuterium incorporation
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据