Estimating and decreasing technical biases in transcriptomic data
|has title::Estimating and decreasing technical biases in transcriptomic data|
|Student name:||student name::Simon van Leeuwen|
|Second supervisor:||Peter-Bram 't Hoen|
|Second reader:||has second reader::Anton Feenstra|
|Company:||has company::LUMC/Human Genetics|
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.