Discovering Shakespeare’s Personal Style: Editing and Connoisseurship in the Eighteenth Century

This chapter examines the use of connoisseurial rhetoric by Shakespeare editors and critics over the course of the eighteenth century, beginning with Alexander Pope in 1723–5 and concluding with George Steevens in the 1780s and 1790s. Connoisseurship was originally developed by art critics as a discourse for authenticating paintings and drawings. Beginning with Pope, however, literary editors began to draw upon it as an analogy for representing authorial style. As I shall show through an examination of Steevens’s work in compiling the first chronological catalogue of William Hogarth’s prints and paintings, this convergence between art criticism and textual criticism involved more than a simple exchange of metaphors. Connoisseurship offered critics such as Steevens new ways of looking at artworks and assessing their genuineness, modes of vision that could be applied as readily to plays as to paintings. The eighteenth-century art market relied upon the expertise of the connoisseur, who could guarantee that a given painting stemmed from the hand of a particular master. Shakespeare publishing in the eighteenth century likewise came to depend on the expertise of the editor, who could reliably identify Shakespeare’s personal style and distinguish the genuine from the spurious

TREEOME: A framework for epigenetic and transcriptomic data integration to explore regulatory interactions controlling transcription

Motivation: Predictive modelling of gene expression is a powerful framework for the in silico exploration of transcriptional regulatory interactions through the integration of high-throughput -omics data. A major limitation of previous approaches is their inability to handle conditional and synergistic interactions that emerge when collectively analysing genes subject to different regulatory mechanisms. This limitation reduces overall predictive power and thus the reliability of downstream biological inference. Results: We introduce an analytical modelling framework (TREEOME: tree of models of expression) that integrates epigenetic and transcriptomic data by separating genes into putative regulatory classes. Current predictive modelling approaches have found both DNA methylation and histone modification epigenetic data to provide little or no improvement in accuracy of prediction of transcript abundance despite, for example, distinct anti-correlation between mRNA levels and promoter-localised DNA methylation. To improve on this, in TREEOME we evaluate four possible methods of formulating gene-level DNA methylation metrics, which provide a foundation for identifying gene-level methylation events and subsequent differential analysis, whereas most previous techniques operate at the level of individual CpG dinucleotides. We demonstrate TREEOME by integrating gene-level DNA methylation (bisulfite-seq) and histone modification (ChIP-seq) data to accurately predict genome-wide mRNA transcript abundance (RNA-seq) for H1-hESC and GM12878 cell lines. Availability: TREEOME is implemented using open-source software and made available as a pre-configured bootable reference environment. All scripts and data presented in this study are available online at http://sourceforge.net/projects/budden2015treeome/.Comment: 14 pages, 6 figure

A follow-up study of four classes of the Medway High School at West Medway, Massachusetts.

Thesis (Ed.M.)--Boston Universit