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.
1. Auer, Srivastava, and Doerge. 2011. Differential expression: the next generation and beyond. Briefings in Functional Genomics.
2. Auer and Doerge. 2010. Statistical Design and Analysis of RNA Sequencing Data. Genetics.
Trapnell et al. 2013. Differential analysis of gene regulation at transcript resolution with RNA-seq. Nature.
1. Lister, R. et al. (2009) Human DNA methylomes at base resolution show widespread epigenomic differences. Nature. 462:315-322.
2. Cheng, L. and Zhu, Y. (2014) A classification approach for DNA methylation profiling with bisulfite next-generation sequencing data. Bioinformatics. 30(2):172-179.
No reading.
1. Bayesian approach to single-cell differential expression analysis. 2014. Nature Methods.
2. Supplement. 2014. Nature Methods.
Thank you everyone see you next semester. No more seminars this semester.
Please contact doerge@purdue.edu if there is a speaker (including yourself) you would like to invite for this series (we have funding for visiting Bioinformatics speakers), or if you would like to be added to the weekly email list.