| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 8918180 | Current Opinion in Systems Biology | 2017 | 6 Pages |
Abstract
The human microbiome is a diverse and complex ecosystem integral for healthy human development. Recent advances in next-generation sequencing technology have paved the way for a 'multi-omics' era of microbiome research, uncovering associations between microbial dysbiosis and disease. Our ability to harness the full potential of these 'multi-omics' datasets are currently constrained by several technical, analytical, computational and bioinformatics factors. However, it may be possible to overcome such limitations through the use of novel systems biology thinking and approaches, to integrate and analyse these large 'multi-omics' datasets. Thus, the question arises - can systems biology approaches pave the way to a new era in microbiome research; determining underlying mechanisms in health and disease, and identifying key microbial interactions and causalities?
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Elizabeth A. Witherden, David L. Moyes, Kenneth D. Bruce, S. Dusko Ehrlich, Saeed Shoaie,
