Sentence examples for datasets was determined using from inspiring English sources
Normality of datasets was determined using the Student's t-Test.
The number of identical sequences between these datasets was determined using a Perl script and divided by the sum of number of complete transcripts in both datasets.
Subsequently, an age-regulation of mRNA profiles in each of the datasets was determined using the globaltest[ 19] where the p-value calculation assumes no-age association as the null hypothesis.
The most appropriate model of nucleotide substitution for each dataset was determined using jModelTest v0.1.1 [78].
The overall ML tree topology for each gene and the concatenated dataset was determined using GarliV0.951 [61] with model parameters as estimated by Modeltest.
Significant overrepresentation of particular GO terms in the dataset was determined using the software GeneMerge with corrections for multiple tests [50].
To highlight the differences in transcriptional profile of each tissue of M. galloprovincialis the similarity between the contiguous sequences from each dataset was determined using an all-against-all BLASTN analysis (Table 2).
Variance across the dataset was determined using the Levene test (17 ).
The region overlap between the NKX2-5 and MEIS dataset was determined using Galaxy (Goecks et al., 2010).
The probability of a genotype occurring more than once in the dataset was determined using the formula (2) ∑ x = n G G ! x !
The length of run (number of generations) for each dataset was determined using AWTY graphical system [ 44] to check the convergence of MCMC.
