News:Analysis of single cell RNA-seq data Workshop
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4.9 years ago
carlopecoraro2 ★ 2.3k

Analysis of single cell RNA-seq data

Where: BGBM/FU UNiversity in Berlin (Germany)

When: 25 February-1 March 2019


  1. Dr. Ayshwarya Subramanian (Broad Institute of MIT and Harvard)
  2. Dr. Dana Silverbush (Broad Institute of MIT and Harvard)
  3. 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methods are required and some of the underlying assumptions for the methods developed for bulk RNA-seq experiments are no longer valid.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:

Registration deadline: January 20th, 2019.

For any questions:

R RNA-Seq next-gen • 1.5k views

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