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Joan of Arc's Brief Life and Long Afterlife
Joan of Arc is simultaneously one of the most well documented figures in history and one of the most widely represented in literature and film. We know more about her than any other person before her, and yet she is still a mystery in many ways. How did she come to accomplish what she did? How do we explain her voices? How much of an influence did she have on the war? Is she a proto-feminist radical or a model for conservativism? Fictional representations (as well as historical ones) have attempted to explain her in various ways, and people with every sort of political and social agenda have appropriated her as a hero of their conflicting causes. What remains as a common factor among the varied representations of Joan "The Maid," as she would have preferred to have been called, is the abiding interest in her life. She inspires people, she confuses people, she intrigues people. Regardless of her motives or the ways in which she may or may not have promoted certain worldviews, one cannot help but be amazed at a peasant girl who approached the king of France, a teenager who led an army, a woman dressed as a man who called herself a maid, an illiterate nineteen year old who spoke for herself against learned theologians, and a condemned heretic who was declared a saint. Joan is, in short, a historical figure who has attained mythic proportions.This document was adapted from a webpage hosted on the Robbins Library website, before being converted into a static document and uploaded to URRR on 2024-01-26.</p
Cross Calibration Report
Polymer surfaces are characterized using darkfield, atomic force and confocal microscopy. All three methods are cross calibrated using a common surface topography.</p
Cazarin and Derollo et al Figure 4: Differential Expression (DeSeq2) code and Gene Set Enrichment Analysis (GSEA) inputs of 3 cancer cell lines MYC-ON vs MYC-OFFSource data for MYC disrupts transcriptional and metabolic circadian oscillations in cancer and promotes enhanced biosynthesis
DeSeq2 code and GSEA inputs related to Figure 4.</p
Cazarin and Derollo et al Figure 2: U2OS ECHO Circadian AnalysisSource data for MYC disrupts transcriptional and metabolic circadian oscillations in cancer and promotes enhanced biosynthesis
Input and output data for ECHO circadian analysis of U2OS MYC-ER time-series experiments +- MYC activation </p
Journal of Undergraduate Research (jur), Volume 21, Issue 2, Spring 2023
The Journal of Undergraduate Research (JUR) is an organization dedicated to providing the University of Rochester student body with intellectual perspectives from various academic disciplines. JUR serves as a forum for the presentation of original research, thereby encouraging the pursuit of significant scholarly endeavors.For more information, please visit the Journal of Undergraduate Research homepage.</p
Cazarin and Derollo et al Figure 2: SHEP ECHO Circadian AnalysisSource data for MYC disrupts transcriptional and metabolic circadian oscillations in cancer and promotes enhanced biosynthesis
Input and output data for ECHO circadian analysis of SHEP N-MYC-ER time-series experiments +- MYC activation</p
Cazarin and Derollo et al Figure 3 and Supplemental Figure 3: SKNAS N-MYC-ER Phase Set Enrichment Analysis (PSEA) ResultsSource data for MYC disrupts transcriptional and metabolic circadian oscillations in cancer and promotes enhanced biosynthesis
Source data from Phase Set Enrichment Analysis (PSEA) of oscillating genes from SKNAS N-MYC-ER OFF and ON. </p
Cazarin and Derollo et al Figure 3 and Supplemental Figure 3: U2OS MYC-ER Phase Set Enrichment Analysis (PSEA) ResultsSource data for MYC disrupts transcriptional and metabolic circadian oscillations in cancer and promotes enhanced biosynthesis
Source data from Phase Set Enrichment Analysis (PSEA) of oscillating genes from U2OS MYC-ER OFF and ON.</p
Cazarin and Derollo et al Supplemental Figure 2: Mirrored Histograms of AmplitudeSource data for MYC disrupts transcriptional and metabolic circadian oscillations in cancer and promotes enhanced biosynthesis
R code and graphs for mirrored histogram analysis of oscillating genes in 3 cancer cell lines (U2OS, SHEP, SKNAS)</p
Cazarin and Derollo et al Table 1: ToppFun Analysis of Oscillating Genes in MYC-OFF and MYC-ON in 3 Cancer Cell LinesSource data for MYC disrupts transcriptional and metabolic circadian oscillations in cancer and promotes enhanced biosynthesis
ToppFun collected outputs (All ECHO Toppfun Data Table v3 new SKNAS.xlsx) and all raw input and output data related to ToppFun analysis of oscillating genes in 3 cancer cell lines (SHEP, SKNAS, U2OS) in MYC-OFF and MYC-ON, as determined by ECHO.</p