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One major problem that arises with BT is the extensive set of data generated compared with DM.
The samples were analyzed and the data generated were compared with standard International Centre for Diffraction Data (1996, ICDD) database for further information.
The data generated were compared with similar results previously obtained under low-velocity impact conditions, and treated according to models developed for the dynamic case.
As a practical application of the data generated here, we compared the DLBCL and BL miRNA signatures.
We assessed to what extent timely and novel data were generated compared to other available data sources.
The precision of methylation quantitation was also greater in the data generated from BSAS when compared to the Sanger/ESME data.
The two samples produced more than 70 Mbp of sequence data from over 700,000 sequences, and there was no significant skew in the sequence data (as measured by dinucleotide frequency) when the data generated by pyrosequencing was compared to complete genome sequences.
For companies, the data generated can be used to compare trends over time, to compare results with targets and to benchmark a company against others.
The data generated from the experiments are compared against predictions from a geochemical transport code (PHREEQCI) that used previously developed surface complexation model parameters to describe the reaction system.
Subsequently, we compared the data generated on NT2-derived cells with that of primary human neurons and astroglia.
Thus we opted for the use of the human EC cell line NCCIT and compared the data generated with existing data related to hES cells [3] in order to find common direct OCT4 target genes, which contribute to the maintenance of pluripotency and self-renewal in both cell types.
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