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Literature DB >> 26890084

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.

Mesh：

Substances：
Plant Proteins

Year: 2016 PMID： 26890084 DOI： 10.1016/j.pbi.2015.12.010

Source DB: PubMed Journal: Curr Opin Plant Biol ISSN： 1369-5266 Impact factor: 7.834

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Cited

14 in total

1. Integrated omics analyses of retrograde signaling mutant delineate interrelated stress-response strata.

Authors: Marta Bjornson; Gerd Ulrich Balcke; Yanmei Xiao; Amancio de Souza; Jin-Zheng Wang; Dina Zhabinskaya; Ilias Tagkopoulos; Alain Tissier; Katayoon Dehesh
Journal: Plant J Date: 2017-04-29 Impact factor: 6.417

Review 2. Machine learning: its challenges and opportunities in plant system biology.

Authors: Mohsen Hesami; Milad Alizadeh; Andrew Maxwell Phineas Jones; Davoud Torkamaneh
Journal: Appl Microbiol Biotechnol Date: 2022-05-16 Impact factor: 4.813

3. Finding semantic patterns in omics data using concept rule learning with an ontology-based refinement operator.

Authors: František Malinka; Filip Železný; Jiří Kléma
Journal: BioData Min Date: 2020-09-01 Impact factor: 2.522

4. iTRAQ-based quantitative proteomic analysis reveals dynamic changes during daylily flower senescence.

Authors: Guangying Ma; Xiaohua Shi; Qingcheng Zou; Danqing Tian; Xia An; Kaiyuan Zhu
Journal: Planta Date: 2018-06-26 Impact factor: 4.116

5. The Contribution of Metabolomics to Systems Biology: Current Applications Bridging Genotype and Phenotype in Plant Science.

Authors: Marina C M Martins; Valeria Mafra; Carolina C Monte-Bello; Camila Caldana
Journal: Adv Exp Med Biol Date: 2021 Impact factor: 2.622

More effort - more results: recent advances in integrative 'omics' data analysis.

1. Integrated omics analyses of retrograde signaling mutant delineate interrelated stress-response strata.

Review 2. Machine learning: its challenges and opportunities in plant system biology.

3. Finding semantic patterns in omics data using concept rule learning with an ontology-based refinement operator.

4. iTRAQ-based quantitative proteomic analysis reveals dynamic changes during daylily flower senescence.

5. The Contribution of Metabolomics to Systems Biology: Current Applications Bridging Genotype and Phenotype in Plant Science.

6. High-Throughput and Computational Study of Leaf Senescence through a Phenomic Approach.

7. ZEAMAP, a Comprehensive Database Adapted to the Maize Multi-Omics Era.

Review 8. Multi-level and hybrid modelling approaches for systems biology.

Review 9. Metabolomics and Integrative Omics for the Development of Thai Traditional Medicine.

Review 10. A Concise Review on Multi-Omics Data Integration for Terroir Analysis in Vitis vinifera.