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However, miRNA-disease associations identified by previous computational methods are far from completeness and more effort is needed.
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Previous computational methods relied on building a binding cavity into a protein template found in nature.
Previous computational methods either discard reads that map to multiple locations or allocate them to genes heuristically.
This includes YDL167C and YJR003 both of which are supported by previous computational evidence defined as Reviewed Computational Evidence (RCA) by the SGD.
The sequence counts in this scan generally agree with previously published kinome analyses, though because these and most previous annotations are produced by different computational methods there is occasional disagreement over the classification of more divergent sequences lacking clear orthologs in model organisms.
Many previous studies have focused on predicting PPIs by developing computational methods.
By uploading analyses generated by the computational methods they develop, bioinformatics developers will potentially reach out to more users unfamiliar with their tools.
These results were corroborated by other computational methods (see the Supporting Information for details).
Previous studies using computational methods combined with high throughput experimental data such as deep sequencing or tiling expression arrays have successfully identified novel miRNAs [14], [15], [16], [17].
These experimental techniques have been joined by advances in computational methods such as molecular mechanics, whereby the total strain energies of various conformations are calculated and compared (see also chemical bonding: Computational approaches to molecular structure).
This result is also supported by a previous computational fluid dynamics study [27].
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