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Updated: Mar 14, 2026

Mapping Dysfunctional Protein-Protein Interactions in Disease
Published on: October 24, 2025
APOSTL: An Interactive Galaxy Pipeline for Reproducible Analysis of Affinity Proteomics Data
Brent M Kuenzi1,2, Adam L Borne3, Jiannong Li4
1Department of Drug Discovery, H. Lee Moffitt Cancer Center & Research Institute , Tampa, Florida 33612-9497, United States.
Abstract:
With continuously increasing scale and depth of coverage in affinity proteomics (AP-MS) data, the analysis and visualization is becoming more challenging. A number of tools have been developed to identify high-confidence interactions; however, a cohesive and intuitive pipeline for analysis and visualization is still needed. Here we present Automated Processing of SAINT Templated Layouts (APOSTL), a freely available Galaxy-integrated software suite and analysis pipeline for reproducible, interactive analysis of AP-MS data. APOSTL contains a number of tools woven together using Galaxy workflows, which are intuitive for the user to move from raw data to publication-quality figures within a single interface. APOSTL is an evolving software project with the potential to customize individual analyses with additional Galaxy tools and widgets using the R web application framework, Shiny. The source code, data, and documentation are freely available from GitHub ( https://github.com/bornea/APOSTL ) and other sources.
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