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In contrast, instrumental methods typically depend on the measurement of a physical property of the analyte.
In addition, existing methods typically depend on large sets of experimentally measured binding affinities and are not applicable to MHC alleles that lack such data.
Ortholog prediction methods typically depend upon annotation that has been derived from single genome processing.
However, these computational methods typically depend on the hydrodynamic stability of the miRNA/3'UTR duplex, and usually produce several false positive results.
Phylogenetic methods typically depend either on the ability to assess evolutionary distance between sequences, e.g., based on computing percent identity, or to fit an evolutionary model to a sequence alignment [ 6].
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Global protein identification through current proteomics methods typically depends on the availability of sequenced genomes.
Benchmarking of newly developed computational methods typically depends on the availability of such activity classes.
Hence, the choice between both methods would typically depend on the primary goal of the analysis.
Choosing the most appropriate method is not easy and should be done carefully, because the results typically depend heavily on the method chosen [8, 12].
Since the segmentation results typically depend on the selection of initial contours, these methods need user intervention to define the initial contours professionally.
Ostensive definitions typically depend on context and on experience.
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