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The transcriptional regulation of endogenous genes with artificial transcription factors (TFs) can offer new tools for plant biotechnology.
Fluorescent reporters are valuable tools for plant science research, particularly as sensors to monitor biological signals and developmental processes.
Thus, psRNATarget and Small RNA Target Prediction should be the efficient and easy-to-use tools for plant sRNA target prediction.
Dr. Shimamoto developed useful tools for plant functional genomics, such as the pANDA vectors developed in his laboratory that are being used worldwide by many plant scientists.
Recent genetic studies on the flavonoid biosynthetic pathway show that transcription factors are efficient new molecular tools for plant metabolic engineering to increase the production of valuable compounds.
The optimization of an organic Rankine cycle is a challenging task that cannot be tackled without the aid of numerical tools for plant simulation and optimization.
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The measurements of plant water potentials have gained wide-spread acceptance as useful tools for plant-water status assessments (i.e. Schmidt-Vogt 1980; Kramer and Boyer 1995; Gebrekirstos et al. 2006) and are used here to reflect site-vegetation relations.
Here we review the efforts of the past decade that have established synthetic biology workflows and tools for plants and discuss the constraints and bottlenecks of this emerging field.
Performance comparison for p-TAREF was done with other prediction tools for plants with utmost rigor and where p-TAREF was found better performing in several aspects.
By contrast, our newly developed prediction tools for plants could infer novel PTS1 tripeptides, many of which were validated as correct predictions by experimental in vivo analyses [ 16].
Here we have examined the performance of 18 publically available target prediction tools for plants, including the three miRNA-target prediction tools that are extensively used but not explicitly developed for plants (Targetscan [ 44, 45], miRanda [ 46], RNAhybrid [ 47, 48]).
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