RNA-seq data analysis pipeline
Name
Henry Mägi
Abstract
The vast amount of large-scale gene expression experiments carried out by biologists has created the need for a pipeline to process and analyse RNA-seq data. The pipeline consists of different computational tools and data input types which makes developing an integrated pipeline a challenging task but would make the use of the workflow much easier for researchers. A customized pipeline, on the other hand, is easier to implement but needs the user to be familiar with all of the computational tools that the pipeline consists of. The aim of this thesis was to provide good knowledge on creating and running a typical RNA-seq data analyis pipeline. The results obtained allow to conclude that the integrated pipeline iRAP still needs development. Also, the results create a better understanding of the functions and potential improvements of different tools.
Graduation Thesis language
English
Graduation Thesis type
Bachelor - Information Technology
Supervisor(s)
Hedi Peterson, Kersti Jääger
Defence year
2014