Single cell RNA sequencing data analysis, 1 hp
Kursnummer | 50,81 |
År | 2017 |
Typ | Methodcourse |
Spår | - |
Max antal deltagare | 30 |
Sista ansökningsdag | 2017-08-13 |
Språk | En |
Kursansvarig | Åsa Björklund |
Institution | SciLifeLab |
Besöksadress | Uppsala biomedicinska centrum BMC Husarg. 3 751 23 Uppsala |
Postadress | Administrativt centrum för SciLifeLab i Uppsala Box 3037 750 03 Uppsala |
Datum | 2017-10-02 to 2017-10-04 |
Lokal | E10:1308/1309 (Trippelrummet, Navet) |
Kurslängd | 3 days |
Kursrapport |   |
Kursplan |   |
Beskrivning
National course open for PhD students (prioritized), postdocs, researchers and other employees in need of bioinformatic skills within all Swedish universities.
Inlärningsmål
This course will cover the basic steps in single cell RNAseq (scRNAseq) processing and data analysis.
Innehåll
Topics covered will include:
An overview of the current scRNAseq techniques
Basic overview of pipelines for processing raw reads into expression values
Quality control of scRNAseq data
Dimensionality reduction and clustering techniques
Data normalization
Differential gene expression for scRNAseq data
Examples on how to use these tools in a research project.
Undervisning
Applications are only accepted via the course webpage:
https://www.scilifelab.se/events/scrnaseq-ht17/
Course fee: 1300 SEK.
Entry requirements:
Basic knowledge in linux, bring your own laptop with R installed, some programming/scripting experience (preferably in R).
Desired:
UPPMAX experience, previous experience with RNA-seq analysis and/or previous participation in the SciLifeLab "Introduction to Bioinformatics using NGS data" course
Examination
Participation on all lectures, exercises and discussion.
Litteratur
The literature will be provided during the course.
Lärare
Åsa Björklund
Kontakt
https://www.scilifelab.se/events/scrnaseq-ht17/
education@scilifelab.uu.se