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In total, more than 3 M clean reads for each sample were generated.
Rarefaction curves of clone libraries from each sample were generated using operational taxonomic units (OTUs) with >97% 16S rRNA sequence similarities with GenBank accessions.
Frozen section slides from each sample were generated and examined to substantiate the presence of adequate tumor cellularity prior to analysis.
Rarefaction curves for the dataset from each sample were generated by performing 10000 random samples with replacement [30] on the complete set of OTUs or ISUs or by including only those OTUs and ISUs that occurred in a sample more than twice.
Representative sequences from OTUs from each sample were generated using Mothur's get.oturep command.
The expression data for each sample were generated from three biological and two technical replicates.
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Assume the operating bandwidth of the communications system is 20 MHz, and each sample is generated by a sampling frequency 5 MHz.
The feature histogram for each sample was generated by calculating the amount of frame-wise feature values falling on each quantization level.
In this simulation, the temperature τ(t) was set as a large constant value (i.e., 1,000 in simulation) and was not decreased after each sample is generated, which means that the simulation becomes a normal slice sampling method.
For each cell population we had at least 4 repetitive samples (each sample was generated by pooling tissue from 20 embryos for UGE/UGM samples and from 15 embryos for epidermis/dermis samples).
A matrix of tag counts for each sample was generated.
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