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Additionally, we predicted the expressional pattern of the identified TF genes using a large amount of RNA-seq data which have just become available.
Additionally, we predicted the conserved secondary structures using RNAz (Gruber et al. 2007) with the same widow size and step used for HSR prediction.
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Additionally, we predict the plasma and tissue concentrations of unbound and VEGF‐bound aflibercept.
Additionally, we predict the presence of aberrant HhH modules in RAD52 that are likely to be involved in DNA-binding.
Additionally, we predicted increased fluxes through the reaction of electron transport chain, gluconeogenesis and purine salvage pathway (Supplementary Material, Table S11).
Additionally, we predicted all potential crosses that between the 120 parental lines in the training population and 3023 rice varieties in the 3 K RGP using the optimum prediction models, and finally selected the promising superior hybrids for further hybrid breeding.
Additionally, we predicted 94 nonaddictive drugs with potential pharmacological functions to the addictive drugs.
Additionally, we predicted similar relationships in individuals with amnestic MCI and AD.
Additionally, we predicted numerous candidate sRNA genes encoded in megaplasmids pSymA and pSymB.
Additionally, we predicted a few genes with unknown function and hypothetical genes for miRNA targeting (Additional file 1).
Additionally, we predicted a few genes with unknown function and hypothetical genes for miRNA targeting e.g. Stv_8 (Table 4).
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