Signal, noise, and bias in yeast MNase-seq data
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This is an optional challenge for students interested in applying what we have learned in class to a real computational genomics research problem; practicing the skills of using Python or R (or any other tool you wish) to visualize, analyze, model, and interpret real genomic data; and exploring the science linking chromatin structure and transcriptional regulation. Since this problem represents an open challenge for the genomics community, you are free to choose the approaches you use to analyze the data, as well as the questions you explore.
CitationMacAlpine, David Michael (2014). Signal, noise, and bias in yeast MNase-seq data. Retrieved from http://db.cs.duke.edu/courses/compsci260/fall14/#data.
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Associate Professor of Pharmacology and Cancer Biology
Our laboratory is interested in understanding the mechanisms by which the molecular architecture of the chromosome regulates fundamental biological processes such as replication and transcription. Specifically, how are replication, transcription and chromatin modification coordinated on a genomic scale to maintain genomic stability? We are addressing this question by using genomic, computational and biochemical approaches in the model organism Drosophila melanogaster. DNA replica
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Rights for Collection: Data Expeditions