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- aggregation classification "A1".
- aggregation creator B331637.
- aggregation creator B331638.
- aggregation creator person.
- aggregation date "2013".
- aggregation format "application/pdf".
- aggregation hasFormat 4180228.bibtex.
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- aggregation isPartOf urn:issn:1574-8936.
- aggregation language "eng".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Biology and Life Sciences".
- aggregation title "Omics derived networks in bacteria".
- aggregation abstract "Understanding the cellular behavior from a systems perspective requires the identification of functional and physical interactions among diverse molecular entities in a cell (i.e. DNA/RNA, proteins and metabolites). Powerful and scalable technologies enabled the generation of genome-wide datasets that describe cellular systems by capturing the interactions of their building blocks under different environmental stimuli. The most straightforward way to represent such datasets is by means of molecular networks of which nodes correspond to molecular entities and edges to the interactions amongst those entities. In this review we give an overview of the different functional and physical interaction networks in bacteria that have been or potentially can be built by the integration of diverse omics datasets.".
- aggregation authorList BK625722.
- aggregation endPage "495".
- aggregation issue "4".
- aggregation startPage "489".
- aggregation volume "8".
- aggregation aggregates 4180719.
- aggregation isDescribedBy 4180228.
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