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  Computational interpretation of disease-causing, structural, and non-coding human genetic variants

Kleinert, P. (2022). Computational interpretation of disease-causing, structural, and non-coding human genetic variants. PhD Thesis. doi:10.17169/refubium-36353.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000E-5E20-5 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-83A1-7
Genre: Thesis

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 Creators:
Kleinert, Philip1, 2, Author           
Vingron, Martin3, Referee                 
Affiliations:
1Evolutionary Genomics (Peter Arndt), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479638              
2Fachbereich Mathematik und Informatik der Freien Universität Berlin, ou_persistent22              
3Transcriptional Regulation (Martin Vingron), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479639              

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Free keywords: Bioinformatik Varianteninterpretation Genetik
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Language(s): eng - English
 Dates: 20222022-11-21
 Publication Status: Published online
 Pages: 118 S.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.17169/refubium-36353
URI: https://refubium.fu-berlin.de/handle/fub188/36640
 Degree: PhD

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