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The variance tests measuring the random walk like behavior of the genomic DNA sequences are referred to as oligonucleotide usage variance (OUV) [14], [15].
The extensive study of the behavior of the genomic features for experimentally identified protein-protein interactions compared to random protein pairs allowed us to validate the protein-protein interactions adequately.
Two other possible causes for discrepancy exist: intraobserver error, due to subjectivity of the IHC interpretation; and qRT-PCR analysis, which can cause discrepancies particularly in the initial cycles, which depend not only on the melting temperature of the amplicon, but also on the behavior of the genomic vicinity of the amplicon [ 42, 43].
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To facilitate future comparative studies of honey bee behavior at the genomic and molecular level, we performed a microarray analysis comparing brain gene expression of foragers with that of newly eclosed one-day-old adult bees ("one-day-olds") for A. mellifera, A. cerana, A. florea and A. dorsata.
This enabled us to empirically study the behavior of the minimum P-value for genomic sections of larger size.
Full-length transcript sequences permit efficient analysis of exon-intron structure and alternative splicing, thus facilitating a complete understanding of the transcriptional behavior of genomic loci [ 5– 7].
Such comprehensive analyses highlighted the behavior of genomic subsystems that may be involved directly or indirectly in S. pyogenes niche adaptation and pathogenesis.
The appearance of PDCDLG2/CD274 as a relevant target of both CN gains and losses is an indication of a more complex behavior of the region, potentially induced by a genomic translocation [ 20].
Studying these genes and the processes they control improves our understanding of the genomic regulation of estrous behavior expression.
Studying these genes and the processes they control improves our understanding of the genomic regulation of estrous behavior expression, ultimately leading to better management strategies or tools to improve or monitor reproductive performance.
To examine factors influencing the random walk like behavior of genomic DNA sequences, a linear regression model was set up with ZOM, FOM and SOM OUV as response variables to the following predictor variables: growth temperature, AT content, chromosome size, habitat and phyla.
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