Browsing by Subject "Natural Sciences"

Now showing 1 - 4 of 4
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    Exploring lemur olfactory communication
    (2015-11-30) Smyth, Kendra; Greene, Lydia
    In Fall 2015, we (Kendra Smyth & Lydia Greene) led a Data Expeditions (DE) workshop in Advanced Research in Evolutionary Anthropology, a senior-level class on the research process. The goal of the workshop was to get students familiar with the R language and introduce them to a range of statistical techniques that might be useful for analyzing their own senior thesis data. In the workshop, we used a lemur scent-marking dataset compiled by Greene during her undergraduate honors thesis at Duke. By using these data, we aimed to make statistics seem both accessible and relatable to these students. Although teaching students the specific commands in R is undeniably valuable, the true reward from the Data Expeditions came from seeing students understand key concepts in statistics and from giving them the tools to begin the process of analyzing their own data.
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    Signal, noise, and bias in yeast MNase-seq data
    (2014) MacAlpine, David Michael
    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.