Mathematical, Statistical and Computational Aspects of the New Science of Metagenomics

Mathematical, Statistical and Computational Aspects of the New Science of Metagenomics

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Metagenomics is the study of the total genomic content of microbial communities. In metagenomic studies, DNA material is sampled collectively from the microorganisms that populate the environment of interest (e.g. agricultural soil, ocean water, or the human gut). The extracted DNA sequences are subsequently used to profile the environment and its biodiversity, its dominant microbial classes or biological functions, and whether and how this profile differs from those of other environments. This research programme will bring together leading expertise in the multiple disciplines involved in metagenomics including mathematics, computer science, probability and statistics, biomedical research and biology. Read more at http://www.newton.ac.uk/programmes/MTG/

Recent Episodes

  • A Bayesian approach to inferring the phylogenetic structure of microbial communities: the case of a seasonal Antarctic lake

    10 years ago
  • Application of Bayesian model averaging and population Monte Carlo to inference from metagenomic mixture

    10 years ago
  • Burrows-Wheeler Transform (BWT) based methods for assembly and haplotype analysis

    10 years ago
  • Convergence analysis of balancing principle for nonlinear Tikhonov regularization in Hilbert scales for statistical inverse problems

    10 years ago
  • Digging into the soil metagenome

    10 years ago
  • Ecological genomics from metagenomic data?

    10 years ago
  • Estimating within-host viral genetic diversity from next-generation sequencing data

    10 years ago
  • Inferring genotype-phenotype relationships from (meta-)genomes

    10 years ago
  • Inferring Mixed Viral Populations

    10 years ago
  • Lessons learned from operating a big metagenomics resource

    10 years ago