Publicaciones en colaboración con investigadores/as de Swiss Federal Institute of Technology in Zurich (15)

2024

  1. Redefining the treponemal history through pre-Columbian genomes from Brazil

    Nature, Vol. 627, Núm. 8002, pp. 182-188

2023

  1. How genomics can help biodiversity conservation

    Trends in Genetics, Vol. 39, Núm. 7, pp. 545-559

2022

  1. The era of reference genomes in conservation genomics

    Trends in Ecology and Evolution

2021

  1. Local adaptation in populations of Mycobacterium tuberculosis endemic to the Indian Ocean Rim

    F1000Research, Vol. 10

  2. Phylogenomics of mycobacterium africanum reveals a new lineage and a complex evolutionary history

    Microbial Genomics, Vol. 7, Núm. 2, pp. 1-14

  3. Quantifying transmission fitness costs of multi-drug resistant tuberculosis

    Epidemics, Vol. 36

  4. Spread of a SARS-CoV-2 variant through Europe in the summer of 2020

    Nature, Vol. 595, Núm. 7869, pp. 707-712

2019

  1. Reference set of Mycobacterium tuberculosis clinical strains: A tool for research and product development

    PLoS ONE, Vol. 14, Núm. 3

2018

  1. A new phylogenetic framework for the animal-adapted mycobacterium tuberculosis complex

    Frontiers in Microbiology, Vol. 9, Núm. NOV

  2. Comparative genomics of Mycobacterium africanum Lineage 5 and Lineage 6 from Ghana suggests distinct ecological niches

    Scientific Reports, Vol. 8, Núm. 1

  3. Treemmer: A tool to reduce large phylogenetic datasets with minimal loss of diversity

    BMC Bioinformatics, Vol. 19, Núm. 1

  4. Tuberculosis outbreak investigation using phylodynamic analysis

    Epidemics, Vol. 25, pp. 47-53

2016

  1. Origin of modern syphilis and emergence of a pandemic Treponema pallidum cluster

    Nature Microbiology, Vol. 2

2013

  1. Natural Selection fails to optimize mutation rates for long-term adaptation on rugged fitness landscapes

    GECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference Companion

2008

  1. Natural selection fails to optimize mutation rates for long-term adaptation on rugged fitness landscapes

    PLoS Computational Biology, Vol. 4, Núm. 9