000154647 001__ 154647
000154647 005__ 20240229123108.0
000154647 0247_ $$2doi$$a10.1016/j.omtm.2020.03.024
000154647 0247_ $$2pmid$$apmid:32346552
000154647 0247_ $$2pmc$$apmc:PMC7177155
000154647 0247_ $$2altmetric$$aaltmetric:80890763
000154647 037__ $$aDKFZ-2020-00910
000154647 041__ $$aeng
000154647 082__ $$a610
000154647 1001_ $$0P:(DE-He78)919864a40f3154bace897117e0e2387e$$aAfzal, Saira$$b0$$eFirst author
000154647 245__ $$aVSeq-Toolkit: Comprehensive Computational Analysis of Viral Vectors in Gene Therapy.
000154647 260__ $$aNew York, NY$$bNature Publishing Group$$c2020
000154647 3367_ $$2DRIVER$$aarticle
000154647 3367_ $$2DataCite$$aOutput Types/Journal article
000154647 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1686831132_10294
000154647 3367_ $$2BibTeX$$aARTICLE
000154647 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000154647 3367_ $$00$$2EndNote$$aJournal Article
000154647 500__ $$a2020 Mar 30;17:752-757#EA:G100#LA:G100#translationale Onkologie
000154647 520__ $$aViral vector characterization and analysis are important components for the development of safe gene therapeutic products, elucidating the potential genotoxic and immunogenic effects of vectors and establishing their safety profiles. Here, we present VSeq-Toolkit, which offers varying analysis modes for viral gene therapy data. The first mode determines the undesirable known contaminants and their frequency in viral preparations or other sequencing data. The second mode is designed for the analysis of intra-vector fusion breakpoints and the third mode for unraveling the viral-host fusion events distribution. Analysis modes of our toolkit can be executed independently or together and allow the analysis of multiple viral vectors concurrently. It has been designed and evaluated for the analysis of short read high-throughput sequencing data, including whole-genome or targeted sequencing. VSeq-Toolkit is developed in Perl and Bash programming languages and is available at https://github.com/CompMeth/VSeq-Toolkit.
000154647 536__ $$0G:(DE-HGF)POF3-312$$a312 - Functional and structural genomics (POF3-312)$$cPOF3-312$$fPOF III$$x0
000154647 588__ $$aDataset connected to CrossRef, PubMed,
000154647 7001_ $$aFronza, Raffaele$$b1
000154647 7001_ $$0P:(DE-He78)b91bec47a4148ba68a58ab292d5860f2$$aSchmidt, Manfred$$b2$$eLast author
000154647 773__ $$0PERI:(DE-600)2863173-0$$a10.1016/j.omtm.2020.03.024$$gVol. 17, p. 752 - 757$$p752 - 757$$tMolecular therapy Methods & clinical development [...]$$v17$$x2329-0501$$y2020
000154647 909CO $$ooai:inrepo02.dkfz.de:154647$$pVDB
000154647 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)919864a40f3154bace897117e0e2387e$$aDeutsches Krebsforschungszentrum$$b0$$kDKFZ
000154647 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)b91bec47a4148ba68a58ab292d5860f2$$aDeutsches Krebsforschungszentrum$$b2$$kDKFZ
000154647 9131_ $$0G:(DE-HGF)POF3-312$$1G:(DE-HGF)POF3-310$$2G:(DE-HGF)POF3-300$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vFunctional and structural genomics$$x0
000154647 9132_ $$0G:(DE-HGF)POF4-319H$$1G:(DE-HGF)POF4-310$$2G:(DE-HGF)POF4-300$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vAddenda$$x0
000154647 9141_ $$y2020
000154647 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bMOL THER-METH CLIN D : 2017
000154647 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000154647 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000154647 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database
000154647 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central
000154647 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal
000154647 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ
000154647 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Blind peer review
000154647 915__ $$0LIC:(DE-HGF)CCBYNCNDNV$$2V:(DE-HGF)$$aCreative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND (No Version)$$bDOAJ
000154647 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List
000154647 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000154647 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000154647 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews
000154647 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5
000154647 9202_ $$0I:(DE-He78)B340-20160331$$kB340$$lTranslationale Medizinische Onkologie$$x0
000154647 9201_ $$0I:(DE-He78)G100-20160331$$kG100$$lTranslationale Onkologie$$x0
000154647 9201_ $$0I:(DE-He78)B340-20160331$$kB340$$lTranslationale Medizinische Onkologie$$x1
000154647 9200_ $$0I:(DE-He78)B340-20160331$$kB340$$lTranslationale Medizinische Onkologie$$x0
000154647 980__ $$ajournal
000154647 980__ $$aVDB
000154647 980__ $$aI:(DE-He78)G100-20160331
000154647 980__ $$aI:(DE-He78)B340-20160331
000154647 980__ $$aUNRESTRICTED