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  • The development of ‘omics’ technologies has progressed to address complex biological questions that underlie various plant functions thereby producing copious amounts of data. The need to assimilate large amounts of data into biologically meaningful interpretations has necessitated the development of statistical methods to integrate multidimensional information. Throughout this review, we provide examples of recent outcomes of ‘omics’ data integration together with an overview of available statistical methods and tools.

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Author details:Dhivyaa Rajasundaram, Joachim SelbigGND
DOI:https://doi.org/10.1016/j.pbi.2015.12.010
ISSN:1369-5266
ISSN:1879-0356
Pubmed ID:https://pubmed.ncbi.nlm.nih.gov/26890084
Title of parent work (English):Current opinion in plant biology
Publisher:Elsevier
Place of publishing:London
Publication type:Review
Language:English
Year of first publication:2016
Publication year:2016
Release date:2020/03/22
Volume:30
Number of pages:5
First page:57
Last Page:61
Funding institution:European Union Seventh Framework Programme (FP7) [263916]
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Biochemie und Biologie
Peer review:Referiert
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