Veronika Schusterbauer, Pierre Reinprecht, G. Thallinger
{"title":"丁香生物技术公司:工程微生物菌株的复杂结构变异调用","authors":"Veronika Schusterbauer, Pierre Reinprecht, G. Thallinger","doi":"10.1515/cdbme-2023-1210","DOIUrl":null,"url":null,"abstract":"Abstract This paper introduces CloveBiotech, an extension and optimization of CLOVE, which is designed to accurately classify complex structural variants (SVs) resulting from genetic modifications in the genomes of microbial strains. While CLOVE covers various complex SV types, it lacks support for large insertions, targeted vector integrations and substitutions of genes with a marker cassette. CloveBiotech addresses these limitations by modifying the algorithm to handle more diverse SV scenarios, including new fusion patterns. However, covering these scenarios demanded a major rewrite of multiple classes and functions. Performance evaluations on simulated data demonstrate its improved precision and recall rates of up to 0.92 and 0.96 respectively, across different sequencing parameters. With these enhancemanets, CloveBiotech provides a valuable tool for scientists working with genetically modified microorganisms, facilitating accurate SV detection and classification.","PeriodicalId":10739,"journal":{"name":"Current Directions in Biomedical Engineering","volume":"38 9","pages":"34 - 38"},"PeriodicalIF":0.0000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CloveBiotech: Complex structural variant calling for engineered microbial strains\",\"authors\":\"Veronika Schusterbauer, Pierre Reinprecht, G. Thallinger\",\"doi\":\"10.1515/cdbme-2023-1210\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract This paper introduces CloveBiotech, an extension and optimization of CLOVE, which is designed to accurately classify complex structural variants (SVs) resulting from genetic modifications in the genomes of microbial strains. While CLOVE covers various complex SV types, it lacks support for large insertions, targeted vector integrations and substitutions of genes with a marker cassette. CloveBiotech addresses these limitations by modifying the algorithm to handle more diverse SV scenarios, including new fusion patterns. However, covering these scenarios demanded a major rewrite of multiple classes and functions. Performance evaluations on simulated data demonstrate its improved precision and recall rates of up to 0.92 and 0.96 respectively, across different sequencing parameters. With these enhancemanets, CloveBiotech provides a valuable tool for scientists working with genetically modified microorganisms, facilitating accurate SV detection and classification.\",\"PeriodicalId\":10739,\"journal\":{\"name\":\"Current Directions in Biomedical Engineering\",\"volume\":\"38 9\",\"pages\":\"34 - 38\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Directions in Biomedical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1515/cdbme-2023-1210\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Directions in Biomedical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/cdbme-2023-1210","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
CloveBiotech: Complex structural variant calling for engineered microbial strains
Abstract This paper introduces CloveBiotech, an extension and optimization of CLOVE, which is designed to accurately classify complex structural variants (SVs) resulting from genetic modifications in the genomes of microbial strains. While CLOVE covers various complex SV types, it lacks support for large insertions, targeted vector integrations and substitutions of genes with a marker cassette. CloveBiotech addresses these limitations by modifying the algorithm to handle more diverse SV scenarios, including new fusion patterns. However, covering these scenarios demanded a major rewrite of multiple classes and functions. Performance evaluations on simulated data demonstrate its improved precision and recall rates of up to 0.92 and 0.96 respectively, across different sequencing parameters. With these enhancemanets, CloveBiotech provides a valuable tool for scientists working with genetically modified microorganisms, facilitating accurate SV detection and classification.