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This method allows identification of the protein targets as well as their precise cleavage locations.
Our simple method allows identification of mutations in the coding region of the ATM gene from cDNA and represents a very useful tool for early diagnosis and genetic counselling in families with A-T.
The method allows identification of the data features that are important for classification, thereby tracking down task-related activations at the single trial level in individual subjects.
In addition this method allows identification of similarity between clusters that have been separated in a phylogenetic tree analysis.
This method allows identification of genes whose evolutionary history correlates with selected factors and not necessarily with their phylogeny.
This method allows identification of specific amplifications and deletions that were not previously detected by conventional CGH or other methods.
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The CGE method allowed identification of different virus strains based on their specific protein profile.
The method allowed identification and quantification of most secreted proteins relevant to the chondrocyte phenotype and evidenced their up- or down regulations by TGFβ1 and patient-to-patient differential expression.
This method allowed identification of more than twice the number of canonical pathways determined by the microarray method and seven times more than by proteomics (Fig. 1B).
It is interesting that, even using a small dataset, the SVAR method allowed identification of actual regulations, as detailed above, illustrating the power of this technique.
The new optimized method allowed identification and (partial) structure elucidation of 9 metabolites of NBI-74330 and 8 metabolites of VUF1121.
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