Estimating and decreasing technical biases in transcriptomic data

From Master Projects
Revision as of 13:57, 29 June 2015 by Feenstra (talk | contribs)

(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to: navigation, search


has title::Estimating and decreasing technical biases in transcriptomic data
status: finished
Master: project within::Bioinformatics
Student name: student name::Simon van Leeuwen
Dates
Start start date:=2013/02/04
End end date:=2013/09/04
Supervision
Supervisor: Irina Pulyakhina
Second supervisor: Peter-Bram 't Hoen
Second reader: has second reader::Anton Feenstra
Company: has company::LUMC/Human Genetics
Thesis: has thesis::Media:Thesis.pdf
Poster: has poster::Media:Posternaam.pdf

Signature supervisor



..................................

Abstract

RNAseq data is rather complex, and its analysis is complicated by several biases, and the most well-known are sequencability and 5'-3' bias. The focus of this project is to find correction methods for the sequencability bias and the 5'-3' bias. As a final step, the two corrections will be combined in a single pipeline and its applicability proven on datasets of different type and complexity.