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Comparison of the RAP and MSU annotation datasets show a high degree of concordance between the two annotations with 33,708 loci overlapping by at least 1bp between the two annotation sets.
Due to relatively frequent changes in probe set annotations and gene symbols, and also due to slight disagreements between the two annotation sources, a conservative analysis was performed.
We found strong similarities for RNA features, as all 57 tRNAs and 3 of the 4 rRNAs were identical between the two annotation sources, whereas the only remaining rRNA gene had a common start position.
The agreement between the two annotation methods was computed.
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A total of 1,104 ORFs were identical between the two annotations, of which we had successfully cloned 900.
It should be noted that for enzymes that had multiple EC number predictions, we considered an identical match when any of the predicted EC numbers matched between the two annotations.
We found 4707 identical gene models between the two annotations.
For example, analysis of the genomes and genome annotations of strains MG1363 and SK11 showed that ORF-calling criteria differ between the two annotations.
Because there was no discrepancy between the two annotations, annotation pairs in this class were not considered as flags for review.
The differences between the two annotations are in gene calling, the location of stop and start sites and the removal of certain types of regulatory sequences.
The difference between the two annotations is due mainly to the larger number of hypothetical genes identified by the TIGR pipeline as well as some gene splits (e.g. MuH9-5 isplitintonthreeree genes).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com