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In this review, we describe the different approaches that can be tested to improve the efficiency of CRISPR induced gene modification in plants, which include the use of optimal transformation and regeneration protocols, the design of appropriate guide RNAs and donor templates and the choice of nucleases and means of delivery.
The analysis may not be necessarily limited to psychological parameters and other potentially useful variables could be tested to improve the predictive value of the model.
For all models, squared and cubed terms of continuous predictor variables will be tested to improve the model fit.
For this aim, different normalization methods should be tested to improve the network training (Demuth and Beale, 2002; Chaturvedi et al., 1996; Sola and Sevilla, 1997).
Other nucleotide modifications that have been reported to reduce primer-dimer formation will be tested to improve the accuracy of SNP genotyping.
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Some tertiary recovery technologies have been tested to improve oil recovery.
Various formulations have been tested to improve its poor water solubility and bioavailability for clinical applications.
A wide range of materials have been tested to improve the performance of MFCs.
Different numerical treatments are tested to improve the convergence of the CZ modeling.
Considering the diverse characteristics, different exogenous MEP pathway genes were tested to improve these effects.
Various kinds of cryoprotectants and centrifugal conditions were tested to improve the survival of biocontrol agents after freeze-drying.
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be tested to provide
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be analyzed to improve
be tested to alleviate
be tested to ensure
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be obtained to improve
be reinvested to improve
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be tested to see
be tested to work
be tested to verify
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