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A novel multi-scale modeling approach to infer whole genome divergence
Eli Reuveni
, Alessandro Giuliani
European Molecular Biology Laboratory
Istituto Superiore di Sanita
Research output
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peer-review
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Dive into the research topics of 'A novel multi-scale modeling approach to infer whole genome divergence'. Together they form a unique fingerprint.
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Keyphrases
Divergence
100%
Multiscale Modeling
100%
Whole Genome
100%
M. musculus
100%
Genome Divergence
100%
Principal Coordinate Analysis (PCoA)
66%
Speciation
33%
Minor Components
33%
Metric Space
33%
Wild Strain
33%
Closely Related Species
33%
Laboratory Strain
33%
First Principals
33%
External Reference
33%
Selective Pressure
33%
Genetic Drift
33%
Deterministic Signal
33%
Distance Profile
33%
Mus Spretus
33%
Genome-wide SNPs
33%
Robust Methodology
33%
Genomic Patterns
33%
Biochemistry, Genetics and Molecular Biology
Mus musculus
100%
Principal Component Analysis
66%
Single Nucleotide Polymorphism
33%
Genetic Drift
33%
Dynamics
33%
Species Differentiation
33%
Immunology and Microbiology
Mus musculus
100%
Dynamics
33%
Single Nucleotide Polymorphism
33%
Species Differentiation
33%
Genetic Drift
33%
Neuroscience
Genetic Drift
100%