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With an objective to save the cost, but without losing information, 1.68× coverage WGRS data and 0.12× GBS data were generated on PMiGAP lines and 0.59× coverage RAD-sequencing data were generated on B- and R- lines.
For the diploids, to obtain longer reads to improve transcriptome assemblies, size-selected libraries were sequenced using an Illumina MiSeq instrument with v3 chemistry, and additional paired-end sequencing data were generated on Illumina NextSeq500.
All analytical data were generated on samples as received with no correction for pouch mass or water content (i.e. wet-weight basis).
All raw data were generated on Affymetrix Genome-Wide Human SNP Array 6.0.
The data were generated on Affymetrix U133A and normalized using the GCRMA method [35].
The genotype data were generated on Affymetrix 6.0 chip and details of the samples, genotyping and quality control procedures have been described elsewhere [31].
Similar(34)
Data are generated on (30, 57, 118 and 300) bus IEEE test systems used to train and test the classifiers.
In any business, large amounts of data are generated on a day-to-day basis.
240 groups of data are generated on above original radar information for training, while 200 groups are generated for testing.
The vast amounts of data being generated on a daily basis have far outpaced a human's ability to sort and manage them.
That's because there is such a large volume of Big Data, and new data is generated on the internet all the time.
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