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    • Functional Imaging Of Nuclear Architecture (FIONA)
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Laboratory of Computational, Quantitative and Synthetic Biology (CQSB)
UMR 7238 CNRS - Sorbonne Université
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    • Functional Imaging Of Nuclear Architecture (FIONA)
    • Genetic Networks
    • Horizontal Evolution of Algal Lifestyles (HEAL)
    • Molecular Modeling and Drug Discovery (M2D2)
    • Proteome Diversification in Evolution
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    • Epigenetics and RNA Metabolism in Human Diseases
    • Functional Imaging Of Nuclear Architecture (FIONA)
    • Genetic Networks
    • Horizontal Evolution of Algal Lifestyles (HEAL)
    • Molecular Modeling and Drug Discovery (M2D2)
    • Proteome Diversification in Evolution
    • Statistical Genomics and Biological Physics
    • Synthetic and Systems Biology of Microalgae
    • Systems Engineering and Evolution Dynamics (SEED)
    • Telomere & Genome Stability
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    • Analytical Genomics
    • Biology of Genomes
    • Computational Medicine
    • Epigenetics and RNA Metabolism in Human Diseases
    • Functional Imaging Of Nuclear Architecture (FIONA)
    • Genetic Networks
    • Horizontal Evolution of Algal Lifestyles (HEAL)
    • Molecular Modeling and Drug Discovery (M2D2)
    • Proteome Diversification in Evolution
    • Statistical Genomics and Biological Physics
    • Synthetic and Systems Biology of Microalgae
    • Systems Engineering and Evolution Dynamics (SEED)
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    • Biology of Genomes
    • Computational Medicine
    • Epigenetics and RNA Metabolism in Human Diseases
    • Functional Imaging Of Nuclear Architecture (FIONA)
    • Genetic Networks
    • Horizontal Evolution of Algal Lifestyles (HEAL)
    • Molecular Modeling and Drug Discovery (M2D2)
    • Proteome Diversification in Evolution
    • Statistical Genomics and Biological Physics
    • Synthetic and Systems Biology of Microalgae
    • Systems Engineering and Evolution Dynamics (SEED)
    • Telomere & Genome Stability
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You are currently viewing Molecular Biology and Evolution

Molecular Biology and Evolution

  • Post category:Analytical Genomics / Article / News

A novel computational approach to explore and classify functional diversity in genomic sequences. See the new article appeared in Molecular Biology and Evolution from the Analytical Genomics team.

Read the press release at Sorbonne Université and the CNRS

Read more articles

Previous PostMultiple Profile Models Extract Features from Protein Sequence Data and Resolve Functional Diversity of Very Different Protein Families
Next PostAnnotating unknown species of urban microorganisms on a global scale unveils novel functional diversity and local environment association.

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UMR 7238 CNRS
Sorbonne Université

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Sorbonne Université

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