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Transferring annotation of proteins at a domain level allows more accurate functional inference [ 21] and is useful for predicting the function of multi-domain proteins [ 22] and novel domain combinations that possibly give rise to new protein functions [ 23].
The proposed scheme consistently yields more accurate functional predictions than does the standard scheme.
Moreover, at this time we cannot assess whether our analysis provides more accurate functional inference than the commonly used analysis based on the entire OR coding region.
More precise measures will also allow even more accurate functional outcomes research.
Besides providing better imputation for missing data, as we mentioned in the introduction, it also helps to get more accurate functional predictions for NS.
More accurate functional inference of proteins can be achieved by integrating these heterogeneous sources of genomic and proteomic data [ 5, 6].
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Increased predictive accuracy often comes with an increased computational cost, and the adoption of these more accurate functionals has only been made possible through the continued increase in available computational power.
For this reason, mutagenesis directly in Mtb, or at least in closer models such as H37ra would provide a more accurate functional-level estimation.
Object-oriented programming will remain an industry staple for years to come, but there is little doubt that, as users expect faster search results and researchers expect more accurate calculations, functional programming will gain limelight as a clear and obvious solution.
Version 2.5 features faster and more accurate quantitative functional and taxonomic inference.
These tend to persist unless replaced with more accurate and equally functional information.
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