Feedback

Faculté de Médecine
Faculté de Médecine
MASTER THESIS
VIEW 0 | DOWNLOAD 0

Thesis, COLLÉGIALITÉ

Download
Fernandez Diez, Ivana ULiège
Promotor(s) : Twizere , Jean-Claude
Date of defense : 1-Sep-2022 • Permalink : http://hdl.handle.net/2268.2/15927
Details
Title : Thesis, COLLÉGIALITÉ
Author : Fernandez Diez, Ivana ULiège
Date of defense  : 1-Sep-2022
Advisor(s) : Twizere, Jean-Claude 
Committee's member(s) : Lavergne, Arnaud 
Kolh, Philippe 
Kourosch, Salehi-Ashtiani 
Language : English
Keywords : [en] coronavirus
[en] interactomics
[en] RNA-seq
[en] bioinformatic
[en] perturbation
[en] transcriptomics
Discipline(s) : Life sciences > Biotechnology
Institution(s) : Université de Liège, Liège, Belgique
Degree: Master en sciences biomédicales, à finalité spécialisée en biomédical data management
Faculty: Master thesis of the Faculté de Médecine

Abstract

[en] analysis by bioinformatic tools to analyse the transcriptome of cells infected by coronaviruses. Gene analysis, pathways analyisis and interactome analysis were performed on data issued of RNA-seq.


File(s)

Document(s)

File
Access mémoire ivana.pdf
Description:
Size: 2.88 MB
Format: Adobe PDF

Author

  • Fernandez Diez, Ivana ULiège Université de Liège > Master sc. bioméd., à fin.

Promotor(s)

Committee's member(s)

  • Lavergne, Arnaud
  • Kolh, Philippe
  • Kourosch , Salehi-Ashtiani
  • Total number of views 0
  • Total number of downloads 0










All documents available on MatheO are protected by copyright and subject to the usual rules for fair use.
The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.