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The Network Zoo: a multilingual package for the inference and analysis of gene regulatory networks

Posted on 2024-08-13 - 12:19
Abstract Inference and analysis of gene regulatory networks (GRNs) require software that integrates multi-omic data from various sources. The Network Zoo (netZoo; netzoo.github.io) is a collection of open-source methods to infer GRNs, conduct differential network analyses, estimate community structure, and explore the transitions between biological states. The netZoo builds on our ongoing development of network methods, harmonizing the implementations in various computing languages and between methods to allow better integration of these tools into analytical pipelines. We demonstrate the utility using multi-omic data from the Cancer Cell Line Encyclopedia. We will continue to expand the netZoo to incorporate additional methods.

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AUTHORS (25)

Marouen Ben Guebila
Tian Wang
Camila M. Lopes-Ramos
Viola Fanfani
Des Weighill
Rebekka Burkholz
Daniel Schlauch
Joseph N. Paulson
Michael Altenbuchinger
Katherine H. Shutta
Abhijeet R. Sonawane
James Lim
Genis Calderer
David G.P. van IJzendoorn
Daniel Morgan
Alessandro Marin
Cho-Yi Chen
Qi Song
Enakshi Saha
Dawn L. DeMeo

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