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Zaverucha G – CQSB
Laboratory of Computational, Quantitative and Synthetic Biology (CQSB)

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Laboratory of Computational, Quantitative and Synthetic Biology (CQSB)
UMR 7238 CNRS - Sorbonne Université
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CNRS-grand-1200pxl-f40
  • Home
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    • Softwares
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    • Adaptation, Intégration, Reticulation, Evolution (AIRE)
    • 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
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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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CNRS-grand-1200pxl-f40
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    • Adaptation, Intégration, Reticulation, Evolution (AIRE)
    • 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)
    • Telomere & Genome Stability
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  • Home
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  • Teams
    • Adaptation, Intégration, Reticulation, Evolution (AIRE)
    • 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)
    • Telomere & Genome Stability
  • Events
    • All News
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  • Master BIM
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Analytical Genomics / Publications / Statistical Genomics and Biological Physics

Improvement in protein domain identification is reached by breaking consensus, with the agreement of many profiles and domain co-occurrence

Bernardes J., Zaverucha G., Vaquero C., Carbone A. PLOS Computational Biology (2016)

Comments Off on Improvement in protein domain identification is reached by breaking consensus, with the agreement of many profiles and domain co-occurrence
29 July 2016
Publications / Statistical Genomics and Biological Physics

Evaluation and improvements of clustering algorithms for detecting remote homologous protein families.

Bernardes J., Vieira F., Costa L., Zaverucha G. BMC Bioinformatics (2015)

Comments Off on Evaluation and improvements of clustering algorithms for detecting remote homologous protein families.
1 December 2015
Analytical Genomics / Publications / Statistical Genomics and Biological Physics

A multi-objective optimization approach accurately resolves protein domain architectures.

Bernardes J., Vieira F., Zaverucha G., Carbone A. Bioinformatics (2015)

Comments Off on A multi-objective optimization approach accurately resolves protein domain architectures.
1 January 2015
Analytical Genomics / Publications

A discriminative method for family-based protein remote homology detection that combines inductive logic programming and propositional models.

Bernardes J., Carbone A., Zaverucha G. BMC Bioinformatics (2011)

Comments Off on A discriminative method for family-based protein remote homology detection that combines inductive logic programming and propositional models.
1 December 2011
Publications / Statistical Genomics and Biological Physics

Remote Homology Detection Through Discriminative Statistical Relational Learning

Unknown Authors Lecture Notes in Computer Science (2005)

Comments Off on Remote Homology Detection Through Discriminative Statistical Relational Learning
1 January 2005
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UMR 7238 CNRS
Sorbonne Université

UMR 7238 CNRS

Sorbonne Université

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