M. Pirkl, Joachim Büch, Georg Friedrich, Michael Böhm, Dan Turner, Olaf Degen, Rolf Kaiser, Thomas Lengauer
{"title":"Geno2pheno:HIV-1 和 HEV 亚型的重组检测","authors":"M. Pirkl, Joachim Büch, Georg Friedrich, Michael Böhm, Dan Turner, Olaf Degen, Rolf Kaiser, Thomas Lengauer","doi":"10.1093/narmme/ugae003","DOIUrl":null,"url":null,"abstract":"\n Even after three decades of antiretroviral therapy for HIV-1, therapy failure is a continual challenge. This is especially so, if the viral variant is a recombinant of subtypes. Thus, improved diagnosis of recombined subtypes can help with the selection of therapy. We are using a new implementation of the previously published computational method recco to detect de novo recombination of known subtypes, independent of and in addition to known circulating recombinant forms (CRFs). We detect an optimal path in a multiple alignment of viral reference sequences based on mutation calls and probable breakpoints for recombination. A tuning parameter is used to favor either mutation calls or breakpoints. Besides novel recombinants, our tool g2p-recco integrated in the geno2pheno web-service https://geno2pheno.org can successfully detect known recombinant events given only the full consensus references (without CRFs) of the involved subtypes with breakpoints. In addition, the tool can be applied to other viruses, i.e hepatitis E virus (HEV). In this fashion, we could also detect several previously unknown recombinations in HEV.","PeriodicalId":516789,"journal":{"name":"NAR Molecular Medicine","volume":"13 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Geno2pheno: Recombination detection for HIV-1 and HEV subtypes\",\"authors\":\"M. Pirkl, Joachim Büch, Georg Friedrich, Michael Böhm, Dan Turner, Olaf Degen, Rolf Kaiser, Thomas Lengauer\",\"doi\":\"10.1093/narmme/ugae003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Even after three decades of antiretroviral therapy for HIV-1, therapy failure is a continual challenge. This is especially so, if the viral variant is a recombinant of subtypes. Thus, improved diagnosis of recombined subtypes can help with the selection of therapy. We are using a new implementation of the previously published computational method recco to detect de novo recombination of known subtypes, independent of and in addition to known circulating recombinant forms (CRFs). We detect an optimal path in a multiple alignment of viral reference sequences based on mutation calls and probable breakpoints for recombination. A tuning parameter is used to favor either mutation calls or breakpoints. Besides novel recombinants, our tool g2p-recco integrated in the geno2pheno web-service https://geno2pheno.org can successfully detect known recombinant events given only the full consensus references (without CRFs) of the involved subtypes with breakpoints. In addition, the tool can be applied to other viruses, i.e hepatitis E virus (HEV). In this fashion, we could also detect several previously unknown recombinations in HEV.\",\"PeriodicalId\":516789,\"journal\":{\"name\":\"NAR Molecular Medicine\",\"volume\":\"13 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NAR Molecular Medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/narmme/ugae003\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"NAR Molecular Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/narmme/ugae003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Geno2pheno: Recombination detection for HIV-1 and HEV subtypes
Even after three decades of antiretroviral therapy for HIV-1, therapy failure is a continual challenge. This is especially so, if the viral variant is a recombinant of subtypes. Thus, improved diagnosis of recombined subtypes can help with the selection of therapy. We are using a new implementation of the previously published computational method recco to detect de novo recombination of known subtypes, independent of and in addition to known circulating recombinant forms (CRFs). We detect an optimal path in a multiple alignment of viral reference sequences based on mutation calls and probable breakpoints for recombination. A tuning parameter is used to favor either mutation calls or breakpoints. Besides novel recombinants, our tool g2p-recco integrated in the geno2pheno web-service https://geno2pheno.org can successfully detect known recombinant events given only the full consensus references (without CRFs) of the involved subtypes with breakpoints. In addition, the tool can be applied to other viruses, i.e hepatitis E virus (HEV). In this fashion, we could also detect several previously unknown recombinations in HEV.