Universiteit Leiden

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PhD Defence

Algorithm for Structural Variant Detection

  • J. Lin
Date
Friday 24 June 2022
Time
Location
Academy Building
Rapenburg 73
2311 GJ Leiden

Supervisor(s)

  • Dr. W.A. Kosters
  • Prof.dr. Kai Ye (Xi'an Jiaotong University)

Summary:

Structural variant (SV), the hidden architecture of human genome, are critical for us to understand disease, evolution, etc. In this thesis, we introduce novel algorithms to detect and validate complex events, and assess the reproducibility of current SV detection pipelines for clinical and research settings. Chapter 1 begins with the introduction of DNA, various types of SVs and sequencing technologies. Then fundamental techniques or algorithms from computer science related to the thesis are briefly described. Pattern mining, graph and deep learning are applied to detect and characterize different type of complex SVs (CSVs) and they are all from computer science.

PhD dissertations

PhD dissertations by Leiden PhD students are available digitally after the defence through the Leiden Repository, that offers free access to these PhD dissertations. Please note that in some cases a dissertation may be under embargo temporarily and access to its full-text version will only be granted later.

Press enquiries (journalists only)

Marieke Epping
Scientific communication adviser
m.epping@bb.leidenuniv.nl
071 527 1521

General information

Beadle's Office
pedel@bb.leidenuniv.nl
+31 71 527 7211

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