| |  Online-Ressource |
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| Verfasst von: | Afzal, Saira [VerfasserIn]  |
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| | Wilkening, Stefan [VerfasserIn] |
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| | Kalle, Christof von [VerfasserIn] |
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| | Schmidt, Manfred [VerfasserIn] |
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| | Fronza, Raffaele [VerfasserIn] |
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| Titel: | GENE-IS |
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| Titelzusatz: | time-efficient and accurate analysis of viral integration events in large-scale gene therapy data |
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| Verf.angabe: | Saira Afzal, Stefan Wilkening, Christof von Kalle, Manfred Schmidt, and Raffaele Fronza |
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| Jahr: | 2017 |
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| Umfang: | 7 S. |
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| Fussnoten: | Published online: 1 December 2016 ; Gesehen am 04.09.2018 |
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| Titel Quelle: | Enthalten in: Molecular Therapy / Nucleic Acids |
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| Ort Quelle: | New York, NY : Nature Publ. Group, 2012 |
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| Jahr Quelle: | 2017 |
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| Band/Heft Quelle: | 6(2017), Seite 133-139 |
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| ISSN Quelle: | 2162-2531 |
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| Abstract: | Integration site profiling and clonality analysis of viral vector distribution in gene therapy is a key factor to monitor the fate of gene-corrected cells, assess the risk of malignant transformation, and establish vector biosafety. We developed the Genome Integration Site Analysis Pipeline (GENE-IS) for highly time-efficient and accurate detection of next-generation sequencing (NGS)-based viral vector integration sites (ISs) in gene therapy data. It is the first available tool with dual analysis mode that allows IS analysis both in data generated by PCR-based methods, such as linear amplification method PCR (LAM-PCR), and by rapidly evolving targeted sequencing (e.g., Agilent SureSelect) technologies. GENE-IS makes use of trimming strategies, customized reference genome, and soft-clipped information with sequential filtering steps to provide annotated IS with clonality information. It is a scalable, robust, precise, and reliable tool for large-scale pre-clinical and clinical data analysis that provides users complete flexibility and control over analysis with a broad range of configurable parameters. GENE-IS is available at https://github.com/G100DKFZ/gene-is. |
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| DOI: | doi:10.1016/j.omtn.2016.12.001 |
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| URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
kostenfrei: Volltext ; Verlag: http://dx.doi.org/10.1016/j.omtn.2016.12.001 |
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| | kostenfrei: Volltext: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5363413/ |
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| | DOI: https://doi.org/10.1016/j.omtn.2016.12.001 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| K10plus-PPN: | 1580669131 |
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| Verknüpfungen: | → Zeitschrift |
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