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The effectiveness and performance of the combined approach was demonstrated using a reference panel of 848 samples constructed using exome sequencing data from the T2D-GENES consortium and 5,349 sample genotype panels consisting of an exome chip and SNP chip.
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To compare the relative level of gene expression in multiple tissue samples, a panel of 36 66 cDNA samples was constructed using total RNA extracted from tissues and/or cell line(s), and real-time PCR was performed using gene-specific primers to quantify the copy number in each cDNA sample.
A custom-made tissue microarray (TMA) for n = 24 PE BM samples of AML patients and n = 10 control/normal samples was constructed using the services of US Biomax, Inc. (Rockville, MD).
The cDNA libraries for RNA samples were constructed using TruSeq RNA Sample Preparation Kits v2 based on the guide (Illumina, Cat. No RS-122-2001).
The phylogenetic tree of 100 bootstrapped samples was constructed using the maximum likelihood (ML) method implemented PhyML using the GTR + I + G model, chosen after using the program ProtTest on the sequence set.
A baseline assessment/reassessment sample was constructed using the same methodology as for LTC homes, resulting in a sample of 17,956, of which 72.7% (n = 13,062) had no recorded pressure ulcer at baseline.
The sample was constructed using quotas method by stratification on sex, age, householder's profession, geographic region and population density.
A metagenomic fosmid library from the bagasse sample was constructed using a CopyControl™ Fosmid Library Production Kit (Epicentre Biotechnologies, Madison, WI, USA) according to the manufacturer's instructions, with slight modifications.
For DNA samples, libraries were constructed using the IonXpress™ Plus gDNA Fragment Library protocol using an input of 500 ng gDNA.
Every year, survey participants are selected from a random sample of households using a two-stage, probability-based cluster sampling approach (see Figure 1): The initial sampling frame is constructed using Census 2000 data to generate 4,388 Census Block Groups (CBGs) or clusters of CBGs for use as the primary sampling units (PSUs).
A sampling frame was constructed using the database of villages (2006 2007) from the National Institute of Statistics and the Ministry of Health's Health Coverage Plan [19].
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