BIO-603(LG) / 1 credit

Teacher: La Manno Gioele

Language: English

Remark: 3-day Block course, every year in January. To register, contact EDMS Administration


Every year


Give students a feel for how single-cell genomics datasets are analyzed from raw data to data interpretation. Different steps of the analysis will be demonstrated and the most common statistical and bioinformatic techniques applied by the students. Data analysis in single-cell genomics.



Please note that you are not allowed to inscribe in your own group!

Note that 3 practical courses are mandatory for all EDMS students and that they have the priority; each course has between 2 to 4 possible slots.

Therefore, please do not register by yourself to this course, this will be done by the EDMS program administrator!


single-cell, genomics, data analysis, transcriptomics

Learning Prerequisites

Required courses

A course that included python or R programming project.

Learning Outcomes

By the end of the course, the student must be able to:

  • Perform a basic analysis of a single cell RNA-seq dataset autonomously

Assessment methods

Project report



Butler et al, Nature Biotechnology, 2018


In the programs

  • Number of places: 4
  • Exam form: Project report (session free)
  • Subject examined: Practical - LaManno Lab
  • Lecture: 6 Hour(s)
  • Practical work: 18 Hour(s)

Reference week

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