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Differences between samples were analyzed for statistical significance by the method of the pairwise t-test in Microsoft Excel (Microsoft, Redmond, WA).
Differences between samples were analyzed with Student t test.
Statistically significant differences between samples were analyzed using two-tailed Student's t tests for paired and unpaired samples, p<0.05 was considered significant.
Molecular relationships between samples were analyzed using Network v4.6.1.1., applying the median-joining method.
All data are represented as mean±S.E.M. Differences between samples were analyzed using Student's t-test.
Real-time PCR and immunoblot analysis data were compared and qualitative differences between samples were analyzed using Sigma Stat (SPSS Inc .. p-Values of < 0.05 were considered statistically significant.
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Significant difference between samples was analyzed using paired t test.
Statistical difference between samples was analyzed by one way ANOVA and Tukey post test, performed using Statistical Analysis Software SASStatistical Analysis Software SAS
The differences between two samples were analyzed by Student's t test.
Differences between two samples were analyzed by Student's t test.
Gene expression changes between the samples were analyzed by SOAP aligner/SOAP2 software.
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between samples were evaluated
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between means were analyzed
between factors were analyzed
between variables were analyzed
between samples were observed
between strains were analyzed
between groups were analyzed
between samples were performed
between treatments were analyzed
between samples were based
between viruses were analyzed
between samples were compared
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