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Each sample was identified by the specific DNA-band pattern formed by the DNA fragments with defined number and size which marked the sample's genetic characteristics.
The threshold cycle for each sample was identified as the point at which the fluorescence generated by degradation of the TaqMan probe increased significantly above the baseline.
The metabolic potential of each sample was identified by examining the similarities between the metagenomic sequence fragments and genes in metabolic subsystems.
Read coverage for each allele in each sample was identified using the Allele Count variable in GATK.
Throughout this work, each sample was identified by the acronym of the tissue followed by the animal id, e.g., FATB_LWF1 refers to back fat tissue from female 1 Large White.
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Samples were identified by randomly assigned numbers.
A total of ten pixels from each sample were identified as the region of interest (ROI), and the mean reflectance values of ROI were calculated.
All individuals in each sample were identified.
Each sample is identified and registered in a database.
Sequence reads associated with each sample were identified by their respective indices.
Differentially expressed genes for each sample are identified as follows (step 2 Figure 1).
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