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:

  1. Talk on RNA-seq Analysis, presented by Wing H. Wong, at the Joint Statistical Meetings on August 3, 2010 in Vancouver, Canada.
  2. 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.
  3. Hui Jiang and Wing Hung Wong (2009), Statistical Inferences for Isoform Expression in RNA-Seq.
  4. Wenxiu Ma and Wing Hung Wong (2011), The Analysis of ChIP-Seq Data.
  5. Genotype and SNP calling from next-generation sequencing data
  6. 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
  7. 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,*
  8. 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
  9. Video 1 and video 2 for Analysis and design of RNA sequencing experiments for identifying isoform regulation