Abstract
While one might expect the phenotypes of progeny to be an additive combination of the parents, Mendelian analysis reveals that this is not always the case. Deviations from additive expectation are observable even at the level of gene expression, and identifying such instances is a prerequisite to the understanding of gene regulation and networks. Many biological studies employ mRNA-seq to identify instances where the overall and allelic expression in hybrids deviates from expectation. We describe a pipeline, POPE (Pipeline of Parentally-biased Expression), that is capable of detecting these instances, building off of a linear model of gene expression in terms of regulatory sequence strength and concentration of synergistic transcriptional regulators. We illustrate the performance of POPE on an existing mRNA-seq data set. POPE is implemented entirely in shell, python, and R, and it is designed for unix-based platforms. The code can be found at http://www.cs.ucdavis. edu/~filkov/POPE/ .
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Missirian, V., Henry, I., Comai, L., Filkov, V. (2012). POPE: Pipeline of Parentally-Biased Expression. In: Bleris, L., Măndoiu, I., Schwartz, R., Wang, J. (eds) Bioinformatics Research and Applications. ISBRA 2012. Lecture Notes in Computer Science(), vol 7292. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30191-9_17
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DOI: https://doi.org/10.1007/978-3-642-30191-9_17
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