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"Synggen: fast and data-driven generation of synthetic heterogeneous NGS ..."

Riccardo Scandino, Federico Calabrese, Alessandro Romanel (2023)

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DOI: 10.1093/BIOINFORMATICS/BTAC792

access: closed

type: Journal Article

metadata version: 2024-04-27

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  - journals/bioinformatics/ScandinoCR23
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Riccardo Scandino, Federico Calabrese, Alessandro Romanel:
Synggen: fast and data-driven generation of synthetic heterogeneous NGS cancer data. Bioinform. 39(1) (2023)

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