APOSTL: An Interactive Galaxy Pipeline for Reproducible Analysis of Affinity Proteomics Data

J Proteome Res. 2016 Dec 2;15(12):4747-4754. doi: 10.1021/acs.jproteome.6b00660. Epub 2016 Oct 21.

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.

Keywords: AP−MS; Galaxy; SAINT; SAINTexpress; affinity proteomics; data analysis; data visualization; pipeline; workflow.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Computational Biology / methods
  • Proteomics / methods*
  • Software
  • User-Computer Interface
  • Workflow*