New tools for new technologies: Differential analysis of genome-scale sequencing data
Event details
| Date | 13.01.2011 |
| Hour | 10:00 |
| Speaker | Dr Mark ROBINSON, Epigenetics Laboratory, Garvan – Bioinformatics Division WEHI, Australia |
| Location | |
| Category | Conferences - Seminars |
New technologies, and specifically high-throughput sequencing experiments, are driving biological enquiry. Large-scale sequencing projects extract information in two distinct ways: from the sequence itself, or from the density of reads mapping to a particular location. For the latter, the data can often be aggregated into counts at some level of interest, such as transcripts, promoters, or genomic regions, depending on the type of experiment. We have developed statistical methods for discovering changes in count data, analogous to the successful procedures developed for microarray data. In the first part of the talk, I will give an overview of the procedures and highlight applications of our methods to transcriptome and epigenome data. In particular, special considerations need to be made for biases such as RNA composition or copy number state. In the second part of the talk, I will discuss our comparisons of high-throughput data from the myriad of techniques that interrogate DNA methylation.
Practical information
- General public
- Free