aRgus: Multilevel visualization of non-synonymous single nucleotide variants & advanced pathogenicity score modeling for genetic vulnerability assessment

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SEEK ID: https://publications.h-its.org/publications/1613

DOI: 10.1016/j.csbj.2023.01.027

Research Groups: Data Mining and Uncertainty Quantification

Publication type: Journal

Journal: Computational and Structural Biotechnology Journal

Citation: Computational and Structural Biotechnology Journal 21:1077-1083

Date Published: 2023

Registered Mode: by DOI

Authors: Julian Schröter, Tal Dattner, Jennifer Hüllein, Alejandra Jayme, Vincent Heuveline, Georg F. Hoffmann, Stefan Kölker, Dominic Lenz, Thomas Opladen, Bernt Popp, Christian P. Schaaf, Christian Staufner, Steffen Syrbe, Sebastian Uhrig, Daniel Hübschmann, Heiko Brennenstuhl

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Schröter, J., Dattner, T., Hüllein, J., Jayme, A., Heuveline, V., Hoffmann, G. F., Kölker, S., Lenz, D., Opladen, T., Popp, B., Schaaf, C. P., Staufner, C., Syrbe, S., Uhrig, S., Hübschmann, D., & Brennenstuhl, H. (2023). aRgus: Multilevel visualization of non-synonymous single nucleotide variants & advanced pathogenicity score modeling for genetic vulnerability assessment. In Computational and Structural Biotechnology Journal (Vol. 21, pp. 1077–1083). Elsevier BV. https://doi.org/10.1016/j.csbj.2023.01.027
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Created: 15th Feb 2023 at 14:09

Last updated: 5th Mar 2024 at 21:25

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