Title: "The Sequencing and Analysis of a Single Cell"
Speaker: Faye Zheng; Department of Statistics, Purdue University

Place: Lilly (LILY) Hall G126
Date: September 9, 2014; Tuesday
Time: 4:30pm

Next-generation DNA and RNA sequencing technologies have undergone rapid improvements in throughput and accuracy within the last decade. The newest development to build on these technologies is the isolation, amplification and sequencing of DNA content from one cell at a time, allowing for an unprecedented exploration of cell-to-cell heterogeneity. The last five years have seen an exciting surge of exploratory work aiming to apply single-cell methods to diverse areas of study, ranging from the investigation of rare cells and microbes to the characterization of structural changes in cancer genomes. Although single-cell sequencing is still an emerging application, is imperative for the statistical community to think critically about important considerations such as experimental design, technical and biological sources of variability, and optimal sampling strategies.

Associated reading:
Ehud Shapiro, Tamir Biezuner, and Sten Linnarsson. Single-cell sequencing-based technologies will revolutionize whole-organism science. Nature Reviews Genetics, 14(9): 618-630, 2013.

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