title: More effort - more results: recent advances in integrative 'omics' data analysis.
abstract: 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.
authors.affiliation: Institute of Biochemistry and Biology, University of Potsdam, Karl-Liebknecht-Str. 24-25, D-14476 Potsdam-Golm, Germany; Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, D-14476 Potsdam-Golm, Germany.
authors.forename: Dhivyaa
authors.initials: D
authors.lastname: Rajasundaram
authors.affiliation: Institute of Biochemistry and Biology, University of Potsdam, Karl-Liebknecht-Str. 24-25, D-14476 Potsdam-Golm, Germany; Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, D-14476 Potsdam-Golm, Germany. Electronic address: jselbig@uni-potsdam.de.
authors.forename: Joachim
authors.initials: J
authors.lastname: Selbig
mesh_terms: D019295:Computational Biology; D023281:Genomics / Q000379:methods; D055432:Metabolomics / Q000379:methods; D010940:Plant Proteins / Q000235:genetics / Q000378:metabolism*; D010944:Plants / Q000235:genetics / Q000378:metabolism*
chemical_list: D010940:Plant Proteins