Hochschulschrift
Utilizing a wild barley nested association mapping (NAM) population for genome-wide association studies : [kumulative Dissertation]
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
Halle (Saale), Martin-Luther-Universität Halle-Wittenberg, Dissertation, 2017
- Classification
-
Landwirtschaft, Veterinärmedizin
- Event
-
Veröffentlichung
- (where)
-
Halle, Saale
- (who)
-
Universitäts- und Landesbibliothek Sachsen-Anhalt
- (when)
-
2017
- Creator
- URN
-
urn:nbn:de:gbv:3:4-20436
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:46 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Object type
- Hochschulschrift
Associated
- Maurer, Andreas
- Universitäts- und Landesbibliothek Sachsen-Anhalt
Time of origin
- 2017
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Machine learning methods for genome-wide association data
Linear mixed models for genome-wide association studies
Identifizierung von QTLs der Terpenbiosynthese mittels „Nested Association Mapping“ (NAM) und „Genome Wide Association Study“ (GWAS)
A genome-wide association study of marginal zone lymphoma shows association to the HLA region
Genetic variation for cold tolerance in two nested association mapping populations
Genome-wide association studies on coronary artery disease and beyond
Genome-Wide Association Analysis of Semen Characteristics in Piétrain Boars
Genome-wide association studies in diverse gene pools of barley
Genome-wide association study in patients with posterior urethral valves
Robust and fast statistical methods for genome-wide association studies
Pharmacoresponse in genetic generalized epilepsy: a genome-wide association study
Genome-wide association studies in a wild barley nested association mapping (NAM) population to reveal the genetic architecture of plant development and quality traits
Machine learning methods for genome-wide association data
Linear mixed models for genome-wide association studies
Identifizierung von QTLs der Terpenbiosynthese mittels „Nested Association Mapping“ (NAM) und „Genome Wide Association Study“ (GWAS)
A genome-wide association study of marginal zone lymphoma shows association to the HLA region
Genetic variation for cold tolerance in two nested association mapping populations
Genome-wide association studies on coronary artery disease and beyond
Genome-Wide Association Analysis of Semen Characteristics in Piétrain Boars
Genome-wide association studies in diverse gene pools of barley
Genome-wide association study in patients with posterior urethral valves
Robust and fast statistical methods for genome-wide association studies