Abstract
Over the past 6 years, next-generation sequencing (NGS) has been established as a valuable high-throughput method for research in molecular genetics and has successfully been employed in the identification of rare and common genetic variations. Although the high expectations regarding the discovery of new diagnostic targets and an overall reduction of cost have been achieved, technological challenges in instrument handling, robustness of the chemistry, and data analysis need to be overcome. Each workflow and sequencing platform have their particular problems and caveats, which need to be addressed. Regarding NGS, there is a variety of different enrichment methods, sequencing devices, or technologies as well as a multitude of analyzing software products available. In this manuscript, the authors focus on challenges in data analysis when employing different target enrichment methods and the best applications for each of them
| Item Type: | Journal article |
|---|---|
| Form of publication: | Publisher's Version |
| Faculties: | Medicine |
| Subjects: | 600 Technology > 610 Medicine and health |
| URN: | urn:nbn:de:bvb:19-epub-25936-9 |
| ISSN: | 0342-3026 |
| Alliance/National Licence: | This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively. |
| Language: | English |
| Item ID: | 25936 |
| Date Deposited: | 11. Nov 2015 07:40 |
| Last Modified: | 04. Nov 2020 13:07 |

