Democratizing data-independent acquisition proteomics analysis on public cloud infrastructures via the Galaxy framework.

ABSTRACT:

Background

Data-independent acquisition (DIA) has become an important approach in global, mass spectrometric proteomic studies because it provides in-depth insights into the molecular variety of biological systems. However, DIA data analysis remains challenging owing to the high complexity and large data and sample size, which require specialized software and vast computing infrastructures. Most available open-source DIA software necessitates basic programming skills and covers only a fraction of a complete DIA data analysis. In consequence, DIA data analysis often requires usage of multiple software tools and compatibility thereof, severely limiting the usability and reproducibility.

Findings

To overcome this hurdle, we have integrated a suite of open-source DIA tools in th

SUBMITTER: Fahrner M 

PROVIDER: S-EPMC8848309 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature