The delineation of the transcriptome of teleost fish ovaries has already been evaluated using large-scale EST sequencing of cDNA libraries [ 7- 9], subtractive hybridisation [ 11], and microarray-based analyses [ 12].
Delineation of the transcriptome of teleost fish ovaries has been evaluated using large-scale EST sequencing [ 6] of cDNA libraries of zebrafish [ 7] and Atlantic salmon [ 8, 9] or subtractive hybridisation of cDNA libraries [ 10] of medaka [ 11] or rainbow trout [ 12] gonads.
Model predictions are evaluated using large experimental results of 44 mixtures.
The utility of these unique SNPs will be evaluated using large repositories of F. tularensis subspecies.
However, these methods were evaluated using large simulated datasets of about 10,000 observations, and roughly balanced treatment groups [ 10].
More importantly, the regulatory effects of miRNAs were evaluated using large amounts of high-throughput data, including 222 gene expression profiles, 28 RPF and six pSILAC datasets.
In all the previous studies, mapper performance was evaluated using large eukaryotic genomes (mainly the human genome) and, for the most part, short Illumina or Illumina-like reads data were used, except in [ 4, 6] where 454 datasets were evaluated with a reduced number of mappers and metrics.
The checklists we utilized could be further validated using larger samples and the errors in scores should also be evaluated using larger samples.
The equations of six existing design standards for shear capacity of FRP reinforced concrete beams have also been evaluated using the large database collected.
The performance and capabilities of the method have also been evaluated using benchmark problems of large-scale global optimization, with excellent results.
