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(c) Microarray data and quantitative PCR (qPCR) validations of selected targets showing measurements in Nlgn1+/+ versus Nlgn1−/− mice under control (Ctrl) and SD conditions.
Ten SMS-inducible genes were selected from the microarray data and these 10 genes were found to be abundantly expressed in 3-week-old plants.
They developed the software dChip for the analysis microarray data and the programs CisGenome, SeqMap and SpliceMap for the analysis of next generation sequencing data.
These analyses confirmed our DNA microarray data and furthermore revealed different regulatory groups of σB-dependent genes.
Quantitative PCR was performed to verify microarray data and measure expression of additional genes not present on the microarray.
When the DNA microarray data and FT-IR spectra were linked together by PLSR, covariation due to temperature was seen.
We compare the performance of our approach with some competing approaches via real microarray data and simulation studies.
The genomic features were derived from microarray data and gene ontology.
The first uses microarray data and t-tests to find possible differentially expressed genes (DEG).
The microarray data and the infection with M. grisea and X. oryzae were published previously (Nobuta et al. [2007]).
However, there is no consistency in major branching orders between microarray data and MLST trees.
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