Ristevski, Blagoj and Savoska, Snezana and Mitrevski, Pece (2019) Complex Network Analysis and Big Omics Data. In: 11th ICT Innovations Conference 2019.
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Abstract
In this paper we describe various biological omics data (e.g. ge-nomics, epigenomics, transcriptomics, proteomics, metabolomics and microbi-omics) generated using high-throughput sequencing technologies. These omics data are generated in huge amounts and they follow the 6 V’s properties of big data. To discover hidden knowledge from this big omics data, complex network analysis is used. Biological complex networks such as gene regulatory and pro-tein-protein interaction networks are appreciated resources for discovering dis-ease genes and pathways, to investigate topological properties of the most im-portant genes associated with particular disease. The inference of biological regulatory networks from different high dimensional omics data is a fundamen-tal and very complex task in bioinformatics. Various big omics data have a great potential to uncover diverse perspectives of biological complex networks. Taking into account the properties of the big omics data, we suggest some di-rection for further works.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Scientific Fields (Frascati) > Natural sciences > Computer and information sciences Scientific Fields (Frascati) > Engineering and Technology > Electrical engineering, electronic engineering,information engineering |
| Divisions: | Faculty of Information and Communication Technologies |
| Depositing User: | Mrs Natasha Blazheska-Tabakovska |
| Date Deposited: | 20 Jan 2020 13:10 |
| Last Modified: | 20 Jan 2020 13:10 |
| URI: | https://eprints.uklo.edu.mk/id/eprint/2346 |
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