2015
DOI: 10.1016/j.jmb.2015.03.015
|View full text |Cite
|
Sign up to set email alerts
|

Abstract: -Omics data have become indispensable to systems biology, which aims to describe the full complexity of functional cells, tissues, organs and organisms. Generating vast amounts of data via such methods, researchers have invested in ways of handling and interpreting these. From the large volumes of -omics data that have been gathered over the years, it is clear that the information derived from one -ome is usually far from complete. Now, individual techniques and methods for integration are maturing to the poin… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
27
0

Year Published

2015
2015
2023
2023

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 33 publications
(27 citation statements)
references
References 85 publications
(111 reference statements)
0
27
0
Order By: Relevance
“…The recent technological advances observed in – omics research allow for the simultaneous measurement of millions of biochemical entities (Zierer et al, 2015). Reductionist association studies have shown a high degree of correlation between – omics data with aging and age-related diseases, it is becoming increasingly evident that integrated network and -omics analyses targeting the aging process at a systems level could provide information previously unattainable, namely, pathways involved and interactions with key internal and external factors and variables (Valdes et al, 2013; Van Assche et al, 2015; Zierer et al, 2015). …”
Section: Models Of Senescence—what Changes?mentioning
confidence: 99%
“…The recent technological advances observed in – omics research allow for the simultaneous measurement of millions of biochemical entities (Zierer et al, 2015). Reductionist association studies have shown a high degree of correlation between – omics data with aging and age-related diseases, it is becoming increasingly evident that integrated network and -omics analyses targeting the aging process at a systems level could provide information previously unattainable, namely, pathways involved and interactions with key internal and external factors and variables (Valdes et al, 2013; Van Assche et al, 2015; Zierer et al, 2015). …”
Section: Models Of Senescence—what Changes?mentioning
confidence: 99%
“…Only a few studies have been published on selected metabolic pathways in tick-borne pathogens grown in culture (17). Rather than focusing on single omics studies, the integration of omics datasets through a systems biology approach allows network-based analyses to describe the complexity and functionality of biological systems such as hostpathogen interactions (17,18) and the discovery of new targets for prevention and control of infectious diseases (19).…”
mentioning
confidence: 99%
“…These methods need to use prior knowledge to estimate probabilistic interactions, and their implementation on typical -omics data may be computationally challenging due to the curse of dimensionality. However, they are widely adopted to integrate different -omics data [123,124] and to infer transcriptional regulatory networks in the context of reverse-engineering processing techniques [48,49].…”
Section: Discussionmentioning
confidence: 99%