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SuPreMo: a computational tool for streamlining in silico perturbation using sequence-based predictive models
Computationally editing genome sequences is a common bioinformatics task, but current approaches have limitations, such as incompatibility with structural variants, challenges in identifying responsible sequence perturbations, and the need for vcf file inputs and phased data. To address these bottle...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Cold Spring Harbor Laboratory
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635135/ https://www.ncbi.nlm.nih.gov/pubmed/37961123 http://dx.doi.org/10.1101/2023.11.03.565556 |