First the SNP array data are phased to build a backbone (or 'scaffold') of haplotypes across each chromosome.
These results show that the array data are in accordance with the RT-qPCR data.
Experimental results show that the proposed algorithm is with good robustness even when the array data are insufficient.
For a linear antenna array, data are collected by scanning one antenna pair of the array at a time.
The original array data are provided as Additional files 1, 2, 3, and 4. We derived the velocity waveforms by integrating the sensor-response corrected accelerograms with a linear acceleration method in the time domain (Fig. 3).
All uploaded array data are MIAME compliant.
Clearly, CGH array data are reliable for comparative genomic studies.
The array data are MIAME compliant and have been deposited at the GEO database at the NCBI: accession number GSE22134.
All the array data are available at GEO database (http://www.ncbi.nlm.nih.gov/projects/geo/) through the accession number of GSE11102.
We would conclude that without independent experimental genotyping, software-called common CNVs based on GWAS array data are not suitable for association studies.
Much of the GO enrichment data for light responsive genes is in good agreement with our expectations and provides strong support that the NSF45K array data are valid (Figure 2 and Figure S4A).
