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The introduction of modern technologies, such as next generation sequencing (NGS), for DNA sequencing in chromatin structure research has substantially advanced our understanding of nuclear-wide interactions and the effect of post-translational modifications. With very large datasets, new theories on the interactions of chromatin proteins and their effects have been measured across whole genomes, and comparative analyses of wild type and mutant variants have led to a better understanding of the molecular events of chromosome biology. Previously, we have used these published datasets to determine what common features can be mined by asking specific questions related to each dataset or by combining multiple datasets from several laboratories to find common features. These efforts proved to be quite productive, and we decided to make a change to our research program in order to have more interactions with collaborators in wet laboratories. We have concentrated largely on using data produced by our collaborators to analyze their results. We have established interactions with three groups, two at the NIH and one in New York.
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Genome Biologyno. 1 (2024): 1-21
Genome researchno. 10 (2023): 1662-1672
bioRxiv (Cold Spring Harbor Laboratory) (2022)
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