- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
AdmixPipe: population analyses in Admixture for non-model organisms ; volume:21 ; number:1 ; day:29 ; month:7 ; year:2020 ; pages:1-9 ; date:12.2020
BMC bioinformatics ; 21, Heft 1 (29.7.2020), 1-9, 12.2020
- Creator
-
Mussmann, Steven M.
Douglas, Marlis R.
Chafin, Tyler K.
Douglas, Michael E.
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s12859-020-03701-4
- URN
-
urn:nbn:de:101:1-2020092523454389975710
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:50 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
- Mussmann, Steven M.
- Douglas, Marlis R.
- Chafin, Tyler K.
- Douglas, Michael E.
- SpringerLink (Online service)
Other Objects (12)
Non-model model organisms
Comparative performance of transcriptome assembly methods for non-model organisms
Multiple model species selection for transcriptomics analysis of non-model organisms
Overcoming uncollapsed haplotypes in long-read assemblies of non-model organisms
Genomic data integration for ecological and evolutionary traits in non-model organisms
Population-level transcriptome sequencing of nonmodel organisms Erynnis propertius and Papilio zelicaon
Computational Methods for Omics Sequence Data with Focus on Non-Model Organisms
LinkImputeR: user-guided genotype calling and imputation for non-model organisms
Chlamydiae as non-model organisms to study antibiotic activity- evolutionary, cellular and molecular aspects
DNA-protein quasi-mapping for rapid differential gene expression analysis in non-model organisms
Facilitating population genomics of non-model organisms through optimized experimental design for reduced representation sequencing
Assembly-free rapid differential gene expression analysis in non-model organisms using DNA-protein alignment
Non-model model organisms
Comparative performance of transcriptome assembly methods for non-model organisms
Multiple model species selection for transcriptomics analysis of non-model organisms
Overcoming uncollapsed haplotypes in long-read assemblies of non-model organisms
Genomic data integration for ecological and evolutionary traits in non-model organisms
Population-level transcriptome sequencing of nonmodel organisms Erynnis propertius and Papilio zelicaon
Computational Methods for Omics Sequence Data with Focus on Non-Model Organisms
LinkImputeR: user-guided genotype calling and imputation for non-model organisms
Chlamydiae as non-model organisms to study antibiotic activity- evolutionary, cellular and molecular aspects
DNA-protein quasi-mapping for rapid differential gene expression analysis in non-model organisms
Facilitating population genomics of non-model organisms through optimized experimental design for reduced representation sequencing
Assembly-free rapid differential gene expression analysis in non-model organisms using DNA-protein alignment
Non-model model organisms
Comparative performance of transcriptome assembly methods for non-model organisms
Multiple model species selection for transcriptomics analysis of non-model organisms
Overcoming uncollapsed haplotypes in long-read assemblies of non-model organisms
Genomic data integration for ecological and evolutionary traits in non-model organisms
Population-level transcriptome sequencing of nonmodel organisms Erynnis propertius and Papilio zelicaon
Computational Methods for Omics Sequence Data with Focus on Non-Model Organisms
LinkImputeR: user-guided genotype calling and imputation for non-model organisms
Chlamydiae as non-model organisms to study antibiotic activity- evolutionary, cellular and molecular aspects
DNA-protein quasi-mapping for rapid differential gene expression analysis in non-model organisms
Facilitating population genomics of non-model organisms through optimized experimental design for reduced representation sequencing