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Luca Freschi

Showing results (11-20 of 47) with videos related to

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Molecular Biology and Evolution|June 23, 2023
Analysis of Genome-Wide Mutational Dependence in Naturally Evolving Mycobacterium tuberculosis PopulationsAnna G Green, Roger Vargas, Maximillian G Marin, et al.
Genome Announcements|May 13, 2017
AnCo3, a New Member of the Emerging Family of Phage-Like PlasmidsAnna Colavecchio, Julie Jeukens, Luca Freschi, et al.
Annals of the New York Academy of Sciences|June 3, 2017
Genomics of antibiotic-resistance prediction in Pseudomonas aeruginosaJulie Jeukens, Luca Freschi, Irena Kukavica-Ibrulj, et al.
Current Opinion in Biotechnology|April 11, 2013
Integrative avenues for exploring the dynamics and evolution of protein interaction networksGuillaume Diss, Marie Filteau, Luca Freschi, et al.
BMC Genomics|January 13, 2016
Increasing genomic diversity and evidence of constrained lifestyle evolution due to insertion sequences in Aeromonas salmonicidaAntony T Vincent, Mélanie V Trudel, Luca Freschi, et al.
Ebiomedicine|May 4, 2019
Beyond multidrug resistance: Leveraging rare variants with machine and statistical learning models in Mycobacterium tuberculosis resistance predictionMichael L Chen, Akshith Doddi, Jimmy Royer, et al.
Genome Announcements|May 13, 2017
Complete Genome Sequences of Two Phage-Like Plasmids Carrying the CTX-M-15 Extended-Spectrum β-Lactamase GeneAnna Colavecchio, Julie Jeukens, Luca Freschi, et al.
The Journal of Biological Chemistry|December 22, 2011
Characterization of spindle checkpoint kinase Mps1 reveals domain with functional and structural similarities to tetratricopeptide repeat motifs of Bub1 and BubR1 checkpoint kinasesSemin Lee, Philippe Thebault, Luca Freschi, et al.
Genome Biology and Evolution|April 7, 2017
A Pan-Genomic Approach to Understand the Basis of Host Adaptation in AchromobacterJulie Jeukens, Luca Freschi, Antony T Vincent, et al.
Genome Medicine|August 31, 2021
GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learningMatthias I Gröschel, Martin Owens, Luca Freschi, et al.
Pageof 5

Showing results (11-20 of 47) with videos related to

Sort By:
Pageof 5
Molecular Biology and Evolution|June 23, 2023
Analysis of Genome-Wide Mutational Dependence in Naturally Evolving Mycobacterium tuberculosis PopulationsAnna G Green, Roger Vargas, Maximillian G Marin, et al.
Genome Announcements|May 13, 2017
AnCo3, a New Member of the Emerging Family of Phage-Like PlasmidsAnna Colavecchio, Julie Jeukens, Luca Freschi, et al.
Annals of the New York Academy of Sciences|June 3, 2017
Genomics of antibiotic-resistance prediction in Pseudomonas aeruginosaJulie Jeukens, Luca Freschi, Irena Kukavica-Ibrulj, et al.
Current Opinion in Biotechnology|April 11, 2013
Integrative avenues for exploring the dynamics and evolution of protein interaction networksGuillaume Diss, Marie Filteau, Luca Freschi, et al.
BMC Genomics|January 13, 2016
Increasing genomic diversity and evidence of constrained lifestyle evolution due to insertion sequences in Aeromonas salmonicidaAntony T Vincent, Mélanie V Trudel, Luca Freschi, et al.
Ebiomedicine|May 4, 2019
Beyond multidrug resistance: Leveraging rare variants with machine and statistical learning models in Mycobacterium tuberculosis resistance predictionMichael L Chen, Akshith Doddi, Jimmy Royer, et al.
Genome Announcements|May 13, 2017
Complete Genome Sequences of Two Phage-Like Plasmids Carrying the CTX-M-15 Extended-Spectrum β-Lactamase GeneAnna Colavecchio, Julie Jeukens, Luca Freschi, et al.
The Journal of Biological Chemistry|December 22, 2011
Characterization of spindle checkpoint kinase Mps1 reveals domain with functional and structural similarities to tetratricopeptide repeat motifs of Bub1 and BubR1 checkpoint kinasesSemin Lee, Philippe Thebault, Luca Freschi, et al.
Genome Biology and Evolution|April 7, 2017
A Pan-Genomic Approach to Understand the Basis of Host Adaptation in AchromobacterJulie Jeukens, Luca Freschi, Antony T Vincent, et al.
Genome Medicine|August 31, 2021
GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learningMatthias I Gröschel, Martin Owens, Luca Freschi, et al.
Pageof 5