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A Network Module for the Perseus Software for Computational Proteomics Facilitates Proteome Interaction Graph Analysis.

Abstract：

:Proteomics data analysis strongly benefits from not studying single proteins in isolation but taking their multivariate interdependence into account. We introduce PerseusNet, the new Perseus network module for the biological analysis of proteomics data. Proteomics is commonly used to generate networks, e.g., with affinity purification experiments, but networks are also used to explore proteomics data. PerseusNet supports the biomedical researcher for both modes of data analysis with a multitude of activities. For affinity purification, a volcano-plot-based statistical analysis method for network generation is featured which is scalable to large numbers of baits. For posttranslational modifications of proteins, such as phosphorylation, a collection of dedicated network analysis tools helps in elucidating cellular signaling events. Co-expression network analysis of proteomics data adopts established tools from transcriptome co-expression analysis. PerseusNet is extensible through a plugin architecture in a multi-lingual way, integrating analyses in C#, Python, and R, and is freely available at http://www.perseus-framework.org .

journal_name

J Proteome Res

journal_title

Journal of proteome research

authors

Rudolph JD,Cox J

doi

10.1021/acs.jproteome.8b00927

subject

Has Abstract

pub_date

2019-05-03 00:00:00

pages

2052-2064

issue

5

eissn

1535-3893

issn

1535-3907

journal_volume

18

pub_type

杂志文章

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