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Proteomic data are beginning to be validated using complementary -omics or classical biochemical or cellular biology techniques.
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The results of new and emerging molecular genetic techniques need to be validated using a complementary technique including appropriate use of negative and positive controls.
Final structures were validated using Molprobity61.
Scaffolds were validated using the Mekano interface (Genoscope).
Variants were validated using the AmpliSeq Cancer Hotspot Panel (Supplementary Methods).
The efficiency of the improved approach was validated using an experimental dataset which was recorded by a pair of collocated GPS antenna and an accelerometer, and it shows that the advantages of each sensor are complementary.
The model was validated using field data.
The design was validated using SystemC.
Analytical results are validated using extensive simulations.
DCE analyses were validated using Stata 14.1.
The programs were validated using ANSYS.
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