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

View Publication
Abstract:
No abstract specified

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

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

help Submitter
Citation
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
Activity

Views: 2774

Created: 15th Feb 2023 at 14:09

Last updated: 5th Mar 2024 at 21:25

help Tags

This item has not yet been tagged.

help Attributions

None

Powered by
 (v.1.15.2)
About HITS Publication SEEK | About HITS-Publication-SEEK | Funding and Programmes | Credits
Copyright © 2008 - 2024 The University of Manchester and HITS gGmbH