ReviewPlants (Basel, Switzerland)2022
Multi-Omics Approaches and Resources for Systems-Level Gene Function Prediction in the Plant Kingdom.
Review in Plants (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Revolutionizing drug discovery from natural products: The roles of artificial intelligence and multi-omics in accelerating innovation.Acta pharmaceutica Sinica. B · 2026Article
- Next-Generation Metabolic Engineering of Capsaicinoids Biosynthesis in Chilli Pepper: Bridging Genomic Insights to Biotechnological Applications.Biotech (Basel (Switzerland)) · 2026Review
- Recent Advances inBiology · 2026Review
- Article
- Precision breeding in a changing climate: unlocking resilience through omics and gene editing.Functional & integrative genomics · 2026Review
- Comprehensive review and assessment of machine learning approaches for host-pathogen protein-protein interaction prediction.Briefings in bioinformatics · 2026Review
- Modern genomic and omics-based technologies for millet breeding and genetic improvement.Frontiers in plant science · 2026Review
- Bioinformatics in crop research: using genomic data for crop improvement.Frontiers in plant science · 2026Review
- Accelerating crop improvement via integration of transcriptome-based network biology and genome editing.Planta · 2025Review
- Article
- Prioritization of candidate genes regulating the dwarfness in rice by integration of whole-genome and transcriptome analyses.Functional & integrative genomics · 2025Article
- Understanding plant-microorganism interactions: The key roles of soil, rhizosphere, and direct and indirect mechanisms.AIMS microbiology · 2025Review
- Watermelon fruit metabolome gene discovery and its application in breeding: a review.Frontiers in plant science · 2025Review
- Review
- Deep learning for plant bioinformatics: an explainable gradient-based approach for disease detection.Frontiers in plant science · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
In higher plants, the complexity of a system and the components within and among species are rapidly dissected by omics technologies. Multi-omics datasets are integrated to infer and enable a comprehensive understanding of the life processes of organisms of interest. Further, growing open-source datasets coupled with the emergence of high-performance computing and development of computational tools for biological sciences have assisted in silico functional prediction of unknown genes, proteins and metabolites, otherwise known as uncharacterized. The systems biology approach includes data collection and filtration, system modelling, experimentation and the establishment of new hypotheses for experimental validation. Informatics technologies add meaningful sense to the output generated by complex bioinformatics algorithms, which are now freely available in a user-friendly graphical user interface. These resources accentuate gene function prediction at a relatively minimal cost and effort. Herein, we present a comprehensive view of relevant approaches available for system-level gene function prediction in the plant kingdom. Together, the most recent applications and sought-after principles for gene mining are discussed to benefit the plant research community. A realistic tabulation of plant genomic resources is included for a less laborious and accurate candidate gene discovery in basic plant research and improvement strategies.
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Registered trials
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