Publication date: Jul 05, 2019
The vast amount of experimental data from recent advances in the field of high-throughput biology begs for integration into more complex data structures such as genome-wide functional association networks. Such networks have been used for elucidation of the interplay of intra-cellular molecules to make advances ranging from the basic science understanding of evolutionary processes to the more translational field of precision medicine. The allure of the field has resulted in rapid growth of the number of available network resources, each with unique attributes exploitable to answer different biological questions. Unfortunately, the high volume of network resources makes it impossible for the intended user to select an appropriate tool for their particular research question. The aim of this paper is to provide an overview of the underlying data and representative network resources as well as to mention methods of integration, allowing a customized approach to resource selection. Additionally, this report will provide a primer for researchers venturing into the field of network integration.
Open Access PDF
Guala, D., Ogris, C., M”uller, N., and Sonnhammer, E.L.L. Genome-wide functional association networks: background, data & state-of-the-art resources. 04966. 2019 Brief Bioinform.
|Throughput||Primer venturing network|
- Bioinformatics for precision oncology.
- Translational bioinformatics in mental health: open access data sources and computational biomarker discovery.
- Scalable biclustering – the future of big data exploration?