In Silico Studies via Big Data for Revealing Plant Signaling
A special issue of Biomolecules (ISSN 2218-273X).
Deadline for manuscript submissions: closed (31 August 2020) | Viewed by 7780
Special Issue Editors
Interests: bioactive compounds; chromatography techniques; medicinal plants; phytochemicals; plant biotechnology; plant growth regulators; plant secondary metabolites
Special Issues, Collections and Topics in MDPI journals
Interests: cell signaling; abiotic stresses; functional analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Over recent years, large amounts of plant biology data in genomics, transcriptomics, and proteomics have been revealed. In the meantime, novel bioinformatics tools have been developed for analyzing and revealing new aspects of biological mechanisms and networks in plants. In addition, bioinformatics tools can predict novel functions of genes and protein–protein interactions that are very useful to solve biological problems. This Special Issue explores the new aspects of biological signaling in plant based on an in silico study on multi-omics–big data, including, but not limited to, functional analysis, interaction network, regulatory mechanisms, and comparative analysis. We sincerely invite scientists to contribute both original research articles and reviews on this Special Issue.
Dr. Jen-Tsung Chen
Dr. Parviz Heidari
Guest Editors
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Keywords
- big data
- biological networks
- bioinformatics
- functional analysis
- machine learning
- multi-omics
- pathway analysis
- plant hormones
- plant signal transduction
- data mining
- protein–protein interaction
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