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For neoantigen detection, the filtered variants were used to generate peptide sequences of different lengths (8 12 mers) using a custom script and HLA type of the individual was determined using the matching normal sample whenever available using Polysolver version v1.037.
Then, the next event which could be either infection of a susceptible individual or recovery of infected individual was determined using Gillespie's direct algorithm [ 16].
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Causes of visual impairment by eye and for the individual were determined using a clinical algorithm recommended by the World Health Organization.
The genotype calls of 909, 622 SNPs for each individual were determined using the Birdseed genotype calling algorithm, embedded in the Affymetrix Genotyping Console 2.0 software (Affymetrix).
The functional ability of the individuals was determined using the following assessments.
Genotyping for 14 available individuals was determined using 3 microsatellite markers spanning a 1.43 Mb interval that overlaps the XPC gene region (D3S3602, D3S1585, and D3S3613).
The significance of differences of the dependent variables (Ig levels, protein concentration, oral Candida colonisation, number of teeth and periodontal conditions) in type 2 diabetic individuals was determined using multiple logistic regression.
Cut-offs to differentiate between exposed and non-exposed individuals were determined using finite mixed modeling (FMM).
Clusters of individuals were determined using six variables describing the respondents' behaviours together with their age (five categories) and housing form (four categories).
After the emergence of alates (winged adults) from these colonies, the sexes of individuals were determined using the morphology of abdominal tergites [ 36].
Testosterone levels in the T+ and T0 individuals were determined using an ELISA test to monitor the efficacy of implantation and make sure T levels were within previous known ranges of wild-caught bullfrogs (Murphy et al., 2006).
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