SV-MeCa: an XGBoost-based meta-caller approach for structural variant calling from short-read data
Abstract Background Calling structural variants (SVs), i.e., genomic alterations of $$\ge $$ 50bp, from whole genome short-read data remains challenging, as existing callers are known to lack accuracy and robustness. Therefore, meta-caller approaches combining the results of multiple standalone tool...
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| Hoofdauteurs: | , , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
BMC
2025-08-01
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| Reeks: | BMC Bioinformatics |
| Onderwerpen: | |
| Online toegang: | https://doi.org/10.1186/s12859-025-06246-6 |
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