<p>Synthetic genomics data generation and evaluation for the use case of benchmarking somatic variant calling algorithms</p>

Styliani-Christina Fragkouli; Nikos  Pechlivanis; Andreas Agathangelidis; Fotis Psomopoulos

doi:10.7490/f1000research.1119575.1

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Fragkouli SC, Pechlivanis N, Agathangelidis A and Psomopoulos F. Synthetic genomics data generation and evaluation for the use case of benchmarking somatic variant calling algorithms [version 1; not peer reviewed]. F1000Research 2023, 12:977 (poster) (https://doi.org/10.7490/f1000research.1119575.1)

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Synthetic genomics data generation and evaluation for the use case of benchmarking somatic variant calling algorithms

Styliani-Christina Fragkouli¹, Nikos Pechlivanis, Andreas Agathangelidis, Fotis Psomopoulos

Published 14 Aug 2023 (https://doi.org/10.7490/f1000research.1119575.1)

Author Affiliations

¹ Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece

Copyright © 2023 Fragkouli SC et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 14 Aug 2023

Synthetic genomics data generation and evaluation for the use case of benchmarking somatic variant calling algorithms
[version 1; not peer reviewed]

Styliani-Christina Fragkouli¹, Nikos Pechlivanis, Andreas Agathangelidis, Fotis Psomopoulos

Author Affiliations

¹ Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece

Presented at

European Conference on Computational Biology (ECCB), 2023

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Synthetic data, Benchmarking, gatk-mutect2, TP53, somatic variant calling

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