Biomarker discovery in single-cell transcriptomics

The workshop will introduce the common tools used to analyze single-cell RNA sequencing data

The workshop will introduce the common tools used to analyze single-cell RNA seq data. The participants will interactively analyze a myxoid liposarcoma dataset and try to find cellular sub-populations and the molecular signatures that characterize each sub-population.

Learning outcomes

Participants will interactively implement our multi-algorithmic pipeline to go all the way from raw sequencing reads to biomarker discovery without the need to know any programming skills or download any software or packages used in the pipeline. Learners will be using an online tool called BINDER, which is a cloud version of our pipeline. Moreover, advanced users can fully personalize our pipeline with new algorithms and outputs.

Prerequisites

No programming skills are required since we will be using a cloud version of Jupyter notebook. However, basic knowledge in R programming will help participants to fully personalize our pipeline by changing some parameters but that is not a prerequisite.

Target audience

Life Science Researchers, who are interested in analyzing single-cell sequencing data. (Students, Ph.D. students, and Researchers)

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Published Dec. 13, 2019 1:55 PM - Last modified Dec. 13, 2019 3:20 PM