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Cited by 232

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Advances in Omics and Bioinformatics Tools for Systems Analyses of Plant Functions

Open access
Mochida, K., Shinozaki, K.·2011·Plant and Cell Physiology

Abstract

Omics and bioinformatics are essential to understanding the molecular systems that underlie various plant functions. Recent game-changing sequencing technologies have revitalized sequencing approaches in genomics and have produced opportunities for various emerging analytical applications. Driven by technological advances, several new omics layers such as the interactome, epigenome and hormonome have emerged. Furthermore, in several plant species, the development of omics resources has progressed to address particular biological properties of individual species. Integration of knowledge from omics-based research is an emerging issue as researchers seek to identify significance, gain biological insights and promote translational research. From these perspectives, we provide this review of the emerging aspects of plant systems research based on omics and bioinformatics analyses together with their associated resources and technological advances.

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Crossref · 10.1093/pcp/pcr153

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Metadata

Authors
Mochida, K., & Shinozaki, K.
Venue
Plant and Cell Physiology
Published
2011-12-01
Volume
52
Issue
12
Pages
2017-2038
ISSN
  • 0032-0781 (ISSN-L)
  • 1471-9053
OpenAlex
W2160807805
Cited by
232
References
15
FWCI
6.47
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Advances in Omics and Bioinformatics Tools for Systems Analyses of Plant Functions. https://app.cochat.ai/papers/10.1093/pcp/pcr153
The paper
Mochida, K., & Shinozaki, K. (2011). Advances in Omics and Bioinformatics Tools for Systems Analyses of Plant Functions. Plant and Cell Physiology. https://doi.org/10.1093/pcp/pcr153

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.