- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2164
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Multi-trait multi-locus SEM model discriminates SNPs of different effects ; volume:21 ; number:8 ; day:28 ; month:7 ; year:2020 ; pages:1-11 ; date:7.2020
BMC genomics ; 21, Heft 8 (28.7.2020), 1-11, 7.2020
- Creator
-
Igolkina, Anna A.
Meshcheryakov, Georgy
Gretsova, Maria V.
Nuzhdin, Sergey V.
Samsonova, Maria G.
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s12864-020-06833-2
- URN
-
urn:nbn:de:101:1-2020092319585032926414
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:46 AM CEST
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.
Associated
- Igolkina, Anna A.
- Meshcheryakov, Georgy
- Gretsova, Maria V.
- Nuzhdin, Sergey V.
- Samsonova, Maria G.
- SpringerLink (Online service)
Other Objects (12)
Regularized multi-trait multi-locus linear mixed models for genome-wide association studies and genomic selection in crops
Accuracy of multi-trait genomic selection using different methods
Multi-trait GWAS for diverse ancestries: mapping the knowledge gap
Systematic multi-trait AAV capsid engineering for efficient gene delivery
Mouse phenome database: curated data repository with interactive multi-population and multi-trait analyses
A multi-trait Bayesian method for mapping QTL and genomic prediction
Evaluating grazing response strategies in winter annuals: A multi-trait approach
Evaluating grazing response strategies in winter annuals : A multi-trait approach
Clinical skills development in student-run free clinic volunteers: a multi-trait, multi-measure study
Efficiency of multi-trait, indirect, and trait-assisted genomic selection for improvement of biomass sorghum
A computationally feasible multi-trait single-step genomic prediction model with trait-specific marker weights
Multi-trait genome-wide association study of opioid addiction: OPRM1 and beyond
Regularized multi-trait multi-locus linear mixed models for genome-wide association studies and genomic selection in crops
Accuracy of multi-trait genomic selection using different methods
Multi-trait GWAS for diverse ancestries: mapping the knowledge gap
Systematic multi-trait AAV capsid engineering for efficient gene delivery
Mouse phenome database: curated data repository with interactive multi-population and multi-trait analyses
A multi-trait Bayesian method for mapping QTL and genomic prediction
Evaluating grazing response strategies in winter annuals: A multi-trait approach
Evaluating grazing response strategies in winter annuals : A multi-trait approach
Clinical skills development in student-run free clinic volunteers: a multi-trait, multi-measure study
Efficiency of multi-trait, indirect, and trait-assisted genomic selection for improvement of biomass sorghum
A computationally feasible multi-trait single-step genomic prediction model with trait-specific marker weights
Multi-trait genome-wide association study of opioid addiction: OPRM1 and beyond
Regularized multi-trait multi-locus linear mixed models for genome-wide association studies and genomic selection in crops
Accuracy of multi-trait genomic selection using different methods
Multi-trait GWAS for diverse ancestries: mapping the knowledge gap
Systematic multi-trait AAV capsid engineering for efficient gene delivery
Mouse phenome database: curated data repository with interactive multi-population and multi-trait analyses
A multi-trait Bayesian method for mapping QTL and genomic prediction
Evaluating grazing response strategies in winter annuals: A multi-trait approach
Evaluating grazing response strategies in winter annuals : A multi-trait approach
Clinical skills development in student-run free clinic volunteers: a multi-trait, multi-measure study
Efficiency of multi-trait, indirect, and trait-assisted genomic selection for improvement of biomass sorghum
A computationally feasible multi-trait single-step genomic prediction model with trait-specific marker weights