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Histone modification data is quite useful compared to conservation studies because histone modifications strongly correlate with specific biological activities.
Although the interpretation of various histone modification data is complicated, the results obtained from two independent datasets (Liu et al. 2005; Pokholok et al. 2005) were basically consistent, further supporting our "nucleosome dynamics" map.
The analysis of behavior modification data is carried out as follows: Summarizing of collected data (t2) from participating medical practices of groups A and B in the four quarters prior to intervention; then generation of the arithmetic average.
ChIP-based histone modification data is commonly used to reconstruct average signal profiles, or "epigenetic signatures," of key genomic regions such as the transcription start and end sites, but the impact of using ChIP-chip versus ChIP-seq data for constructing epigenetic signatures is largely unknown.
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Chromatin modification data was used to predict the functional sites and to further remove false positives.
The chromatin modification data was obtained from [ 23, 17].
Therefore, approaches that integrate expression and histone modification data are essential to curate transcription units.
However, simpler models, for instance, predicting gene expression from histone modification data are already very useful.
The histone modification data was obtained from Pokholok et al. [ 21].
Histone modification data were taken from ChromatinDB [ 11], a database of genome-wide histone modification patterns for Saccharomyces cerevisiae.
Histone modification data were taken from ChromationDB [ 33], a database of genome-wide histone modification patterns for Saccharomyces cerevisiae.
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