Literature DB >> 27680298

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

Brent M Kuenzi1,2, Adam L Borne3, Jiannong Li4, Eric B Haura3, Steven A Eschrich4, John M Koomen5, Uwe Rix1, Paul A Stewart3.   

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.

Entities:  

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

Mesh:

Year:  2016        PMID: 27680298      PMCID: PMC5231908          DOI: 10.1021/acs.jproteome.6b00660

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


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