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

Guebila, M. ben; Wang, T.; Lopes-Ramos, C.M.; Fanfani, V.; Weighill, D.; Burkholz, R.; ... ; Quackenbush, J. (2023)

Article / Letter to editor

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.

• Gene regulation
• Multi-omic analysis
• Network biology
• Open-source software

• All authors: Guebila, M. ben; Wang, T.; Lopes-Ramos, C.M.; Fanfani, V.; Weighill, D.; Burkholz, R.; Schlauch, D.; Paulson, J.N.; Altenbuchinger, M.; Shutta, K.H.; Sonawane, A.R.; Lim, J.; Calderer, G.; IJzendoorn, D.G.P. van; Morgan, D.; Marin, A.; Chen, C.Y.; Song, Q.; Saha, E.; DeMeo, D.L.; Padi, M.; Platig, J.; Kuijjer, M.L.; Glass, K.; Quackenbush, J.
• Date: 2023-03-09
• Journal: Genome Biology
• Volume: 24
• Issue: 1
• DOI: doi:10.1186/s13059-023-02877-1