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| 024 | 7 | _ | |a 10.1016/j.omtn.2016.12.001 |2 doi |
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| 100 | 1 | _ | |a Afzal, Saira |0 P:(DE-He78)919864a40f3154bace897117e0e2387e |b 0 |e First author |u dkfz |
| 245 | _ | _ | |a GENE-IS: Time-Efficient and Accurate Analysis of Viral Integration Events in Large-Scale Gene Therapy Data. |
| 260 | _ | _ | |a New York, NY |c 2017 |b Nature Publ. Group |
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| 520 | _ | _ | |a 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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| 700 | 1 | _ | |a Wilkening, Stefan |0 P:(DE-He78)928f784868a4b5ff301367ecda92f152 |b 1 |
| 700 | 1 | _ | |a von Kalle, Christof |0 P:(DE-He78)5bacb661d5d7c0220d8f996d980ad8de |b 2 |
| 700 | 1 | _ | |a Schmidt, Manfred |0 P:(DE-He78)b91bec47a4148ba68a58ab292d5860f2 |b 3 |
| 700 | 1 | _ | |a Fronza, Raffaele |0 P:(DE-He78)c2585457f370249465a2080111937cf5 |b 4 |e Last author |
| 773 | _ | _ | |a 10.1016/j.omtn.2016.12.001 |g Vol. 6, p. 133 - 139 |0 PERI:(DE-600)2662631-7 |p 133 - 139 |t Molecular Therapy / Nucleic Acids |v 6 |y 2017 |x 2162-2531 |
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