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


Frequency

Every year

Summary

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.

Content

Note

Open to max. 4 students. Please note that you are not allowed to inscribe in your own group!

Keywords

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

Resources

Bibliography

Butler et al, Nature Biotechnology, 2018

Websites

In the programs

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

Reference week

 MoTuWeThFr
8-9     
9-10     
10-11     
11-12     
12-13     
13-14     
14-15     
15-16     
16-17     
17-18     
18-19     
19-20     
20-21     
21-22