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NetBID2 provides comprehensive hidden driver analysis

Authors :
Jiyang Yu
Xinran Dong
Liang Ding
Andrew Thrasher
Xinge Wang
Jingjing Liu
Qingfei Pan
Jordan Rash
Yogesh Dhungana
Xu Yang
Isabel Risch
Yuxin Li
Junmin Peng
Michael Rusch
Clay McLeod
Hongbo Chi
Jinghui Zhang
Publication Year :
2022
Publisher :
Research Square Platform LLC, 2022.

Abstract

We present a comprehensive and versatile toolkit, NetBID2, for integrating multi-omics data and exposing hidden drivers that are not genetically altered or differentially expressed at the RNA/protein level by reverse-engineering context-specific interactomes and inferring protein activity. We deploy NetBID2 Viewer, Runner, and Cloud apps with 145 context-specific gene regulatory and signalling networks across normal tissues and paediatric and adult cancers to facilitate real-time interactive visualization, analysis, end-to-end use, and sharing.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........99fd529da372edbedcc843d7e9d536ae