These days I am struggling with the sequencing data. What do they look like? What’s the essential difference with the micro-array data for the statistician community? Discrete and Continuous? So far, I am still not clear of these. Could anyone help me with this? Thanks.
The following are the collection of the related and maybe something else:
- Talk on RNA-seq Analysis, presented by Wing H. Wong, at the Joint Statistical Meetings on August 3, 2010 in Vancouver, Canada.
- Julia Salzman, Hui Jiang and Wing Hung Wong (2011), Statistical Modeling of RNA-Seq Data. Statistical Science 2011, Vol. 26, No. 1, 62-83. doi: 10.1214/10-STS343.
- Hui Jiang and Wing Hung Wong (2009), Statistical Inferences for Isoform Expression in RNA-Seq.
- Wenxiu Ma and Wing Hung Wong (2011), The Analysis of ChIP-Seq Data.
- Genotype and SNP calling from next-generation sequencing data
- Saran Vardhanabhuti, Mingyao Li and Hongzhe Li (2011), A Hierarchical Bayesian Model for Estimating and Inferring Differential Isoform Expression for Multi-sample RNA-Seq Data
- BM-Map: Bayesian Mapping of Multireads for Next-Generation Sequencing Data, 2011, Yuan Ji1,*, Yanxun Xu2, Qiong Zhang3, Kam-Wah Tsui3, Yuan Yuan4, Clift Norris Jr.1, Shoudan Liang4, Han Liang4,*
- A new paper written by Lin Wan, Xiting Yan, Ting Chen, and Fengzhu Sun, Biostat 2012 published 21 February 2012, Modeling RNA degradation for RNA-Seq with applications
- Video 1 and video 2 for Analysis and design of RNA sequencing experiments for identifying isoform regulation