ArticlePloS one2018
Xome-Blender: A novel cancer genome simulator.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 20 citations in OpenAlex.
- MOV&RSim: computational modelling of cancer-specific variants and sequencing reads characteristics for realistic tumoral sample simulation.BMC bioinformatics · 2025Article
- In silico generation of synthetic cancer genomes using generative AI.Cell genomics · 2025Article
- SoMaCX: a complex generative genome modeling framework.BMC genomics · 2025Article
- Synggen: fast and data-driven generation of synthetic heterogeneous NGS cancer data.Bioinformatics (Oxford, England) · 2023Article
- Boquila: NGS read simulator to eliminate read nucleotide bias in sequence analysis.Turkish journal of biology = Turk biyoloji dergisi · 2023Article
- SomatoSim: precision simulation of somatic single nucleotide variants.BMC bioinformatics · 2021Article
- A validated lineage-derived somatic truth data set enables benchmarking in cancer genome analysis.Communications biology · 2020Article
- Eleven grand challenges in single-cell data science.Genome biology · 2020Review
- PGsim: A Comprehensive and Highly Customizable Personal Genome Simulator.Frontiers in bioengineering and biotechnology · 2020Article
- Accurate Tracking of the Mutational Landscape of Diploid Hybrid Genomes.Molecular biology and evolution · 2019Article
- simuG: a general-purpose genome simulator.Bioinformatics (Oxford, England) · 2019Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The adoption of next generation sequencing based methods in cancer research allowed for the investigation of the complex genetic structure of tumor samples. In the last few years, considerable importance was given to the research of somatic variants and several computational approaches were developed for this purpose. Despite continuous improvements to these programs, the validation of their results it's a hard challenge due to multiple sources of error. To overcome this drawback different simulation approaches are used to generate synthetic samples but they are often based on the addition of artificial mutations that mimic the complexity of genomic variations. For these reasons, we developed a novel software, Xome-Blender, that generates synthetic cancer genomes with user defined features such as the number of subclones, the number of somatic variants and the presence of copy number alterations (CNAs), without the addition of any synthetic element. The singularity of our method is the "morphological approach" used to generate mutation events. To demonstrate the power of our tool we used it to address the hard challenge of evaluating the performance of nine state-of-the-art somatic variant calling methods for small and large variants (VarScan2, MuTect, Shimmer, BCFtools, Strelka, EXCAVATOR2, Control-FREEC and CopywriteR). Through these analyses we observed that by using Xome-Blender data it is possible to appraise small differences between their performance and we have designated VarScan2 and EXCAVATOR2 as best tool for this kind of applications. Xome-Blender is unix-based, licensed under the GPLv3 and freely available at https://github.com/rsemeraro/XomeBlender.
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Registered trials
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