Multi-sample approaches and applications for structural variant detection:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin
2022
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| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | XI, 140 Seiten, xxxviii Illustrationen, Diagramme |
Internformat
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| spelling | Niehus, Sebastian Verfasser (DE-588)1263798578 aut Multi-sample approaches and applications for structural variant detection vorgelegt von Sebastian Niehus Berlin 2022 XI, 140 Seiten, xxxviii Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Dissertation Freie Universität Berlin 2022 Structural Variation Variant Calling Population Genomics Bioinformatics (DE-588)4113937-9 Hochschulschrift gnd-content Erscheint auch als Online-Ausgabe Niehus, Sebastian Multi-sample approaches and applications for structural variant detection (DE-604)BV048380860 https://refubium.fu-berlin.de/handle/fub188/35614 Resolving-System kostenfrei Volltext |
| spellingShingle | Niehus, Sebastian Multi-sample approaches and applications for structural variant detection Structural Variation Variant Calling Population Genomics Bioinformatics |
| subject_GND | (DE-588)4113937-9 |
| title | Multi-sample approaches and applications for structural variant detection |
| title_auth | Multi-sample approaches and applications for structural variant detection |
| title_exact_search | Multi-sample approaches and applications for structural variant detection |
| title_exact_search_txtP | Multi-sample approaches and applications for structural variant detection |
| title_full | Multi-sample approaches and applications for structural variant detection vorgelegt von Sebastian Niehus |
| title_fullStr | Multi-sample approaches and applications for structural variant detection vorgelegt von Sebastian Niehus |
| title_full_unstemmed | Multi-sample approaches and applications for structural variant detection vorgelegt von Sebastian Niehus |
| title_short | Multi-sample approaches and applications for structural variant detection |
| title_sort | multi sample approaches and applications for structural variant detection |
| topic | Structural Variation Variant Calling Population Genomics Bioinformatics |
| topic_facet | Structural Variation Variant Calling Population Genomics Bioinformatics Hochschulschrift |
| url | https://refubium.fu-berlin.de/handle/fub188/35614 |
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