Signal, noise, and bias in yeast MNase-seq data

Abstract

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.

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Citation

MacAlpine, David Michael (2014). Signal, noise, and bias in yeast MNase-seq data. Retrieved from https://hdl.handle.net/10161/10924.

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