New article on realistic tumoral sample simulation published in BMC Bioinformatics!

๐Ÿš€ Weโ€™re excited to share that our latest paper is now published in BMC Bioinformatics: MOV&RSim: computational modelling of cancer-specific variants and sequencing reads characteristics for realistic tumoral sample simulation, https://doi.org/10.1186/s12859-025-06292-0

๐Ÿ“Š We developed MOV&RSIM, a novel simulator that leverages data-driven information to set variants and reads characteristics, producing realistic tumoral samples, and providing full control on biological and technical parameters. Additionally, we leveraged well-annotated variant databases to create cancer-specific presets that inform the simulatorโ€™s parameters for 21 cancer types.

๐Ÿ” The proposed simulator and presets represent the most adaptable and comprehensive computational framework currently available for generating tumor samples, enabling comprehensive benchmarking and, ultimately, the optimization of somatic variant callers across diverse cancer types.

๐Ÿ‘ฅ This research is the result of a collaboration between our group and AB ANALITICA srl. Congratulations to the first author, Dr. Francesca Longhin, who developed MOV&RSim during her doctoral studies in our research group!

๐Ÿ”— The tool is freely available on gitlab at: https://gitlab.com/sysbiobig/movarsim

Systems Biology and Bioinformatics Group
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