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postgraduate thesis: Accurate genome consensus and misassembly detection in assembling nanopore sequencing data via deep learning
Title | Accurate genome consensus and misassembly detection in assembling nanopore sequencing data via deep learning |
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Authors | |
Advisors | Advisor(s):Lam, TW |
Issue Date | 2022 |
Publisher | The University of Hong Kong (Pokfulam, Hong Kong) |
Citation | Zhang, Y. [張亦凡]. (2022). Accurate genome consensus and misassembly detection in assembling nanopore sequencing data via deep learning. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. |
Degree | Master of Philosophy |
Subject | Genomics Nanopores Deep learning (Machine learning) |
Dept/Program | Computer Science |
Persistent Identifier | http://hdl.handle.net/10722/322957 |
DC Field | Value | Language |
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dc.contributor.advisor | Lam, TW | - |
dc.contributor.author | Zhang, Yifan | - |
dc.contributor.author | 張亦凡 | - |
dc.date.accessioned | 2022-11-18T10:42:08Z | - |
dc.date.available | 2022-11-18T10:42:08Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | Zhang, Y. [張亦凡]. (2022). Accurate genome consensus and misassembly detection in assembling nanopore sequencing data via deep learning. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. | - |
dc.identifier.uri | http://hdl.handle.net/10722/322957 | - |
dc.language | eng | - |
dc.publisher | The University of Hong Kong (Pokfulam, Hong Kong) | - |
dc.relation.ispartof | HKU Theses Online (HKUTO) | - |
dc.rights | The author retains all proprietary rights, (such as patent rights) and the right to use in future works. | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject.lcsh | Genomics | - |
dc.subject.lcsh | Nanopores | - |
dc.subject.lcsh | Deep learning (Machine learning) | - |
dc.title | Accurate genome consensus and misassembly detection in assembling nanopore sequencing data via deep learning | - |
dc.type | PG_Thesis | - |
dc.description.thesisname | Master of Philosophy | - |
dc.description.thesislevel | Master | - |
dc.description.thesisdiscipline | Computer Science | - |
dc.description.nature | published_or_final_version | - |
dc.date.hkucongregation | 2022 | - |
dc.identifier.mmsid | 991044609096803414 | - |