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This factor, combined with polyploidy and high repetitive DNA content significantly complicates the analyses of next-generation datasets generated for the wheat genome.
The RNA-Seq datasets generated for Figs. 6 and 7 are available at GEO accession code GSE124649.
Arabidopsis gene expression analysis was performed on the projected network by querying the datasets generated for transcriptome expression on 5, 9 10 and 13 days after fertilization (DAF; (Ruuska et al. 2002); Additional file 5).
We use an approach based on Factor Analysis to analyze datasets generated for transcriptional profiling.
For this, we used two microarray datasets generated for the study of Alzheimer Disease ADD).
This results in 240 individual scenarios, with 5,000 simulated datasets generated for each scenario.
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The implemented processor was tested against the synthetic dataset generated for our Phase A study (Vennerstrøm et al., 2005, 2006; Moretto et al., 2006).
The phylogeny was generated using a three-locus (rbcL, trnH-psbA, and matK) DNA barcode dataset generated for the plot.
Our bioinformatical pipeline was shown to be effective for variant calling in a GBS dataset generated for a polyploid genome.
We selected a dataset generated for wheat roots response during salt stress using the Affymetrix Wheat Array [ 25].
For analysis of the single replicate dataset generated for basal gene expression levels in 10-day old seedlings of both genotypes, DChip was used [ 41].
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