Estimating and decreasing technical biases in transcriptomic data

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has title::Estimating and decreasing technical biases in transcriptomic data
status: finished
Master: project within::Bioinformatics
Student name: student name::Simon van Leeuwen
Start start date:=2013/02/04
End end date:=2013/09/04
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



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.