Analysis of single cell RNA-seq data
Where: BGBM/FU UNiversity in Berlin (Germany)
When: 25 February-1 March 2019
- Dr. Ayshwarya Subramanian (Broad Institute of MIT and Harvard)
- Dr. Dana Silverbush (Broad Institute of MIT and Harvard)
- Dr. Ehsan Habibi(Broad Institute of MIT and Harvard)
In recent years single-cell RNA-seq (scRNA-seq) has become widely used for transcriptome analysis in many areas of biology. In contrast to bulk RNA-seq, scRNA-seq provides quantitative measurements of the expression of every gene in a single cell. However, to analyze scRNA-seq data, novel methods are required and some of the underlying assumptions for the methods developed for bulk RNA-seq experiments are no longer valid. In this course we will cover all steps of the scRNA-seq processing, starting from the raw reads coming off the sequencer. The course includes common analysis strategies, using state-of-the-art methods and we also discuss the central biological questions that can be addressed using scRNA-seq.
Course Website: https://www.physalia-courses.org/courses-workshops/course18/
Registration deadline: January 20th, 2019.
For any questions: firstname.lastname@example.org