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SuPreMo: a computational tool for streamlining <i>in silico</i> perturbation using sequence-based predictive models

2023-11-05

Abstract excerpt

<h4>Summary</h4> 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 bottlenecks, we present S equence M u tator for Pre dictive Mo dels (SuPreMo), a scalable and compreh...

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Literature Corpus work
b3621ea8-3b19-5a3b-9915-8e5580159ef0
DOI
10.1101/2023.11.03.565556
Open publication

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SuPreMo: a computational tool for streamlining <i>in silico</i> perturbation using sequence-based predictive modelsDOI 10.1101/2023.11.03.565556
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