Microbial species rarely exist in isolation. In naturally occurring microbial systems there is
strong evidence for a positive relationship between species diversity and productivity of …

Here we introduce a new design framework for synthetic biology that exploits the advantages
of Bayesian model selection. We will argue that the difference between inference and …

Cancers accumulate mutations that lead to neoantigens, novel peptides that elicit an
immune response, and consequently undergo evolutionary selection. Here we establish how …

The distribution of fitness effects (DFE) defines how new mutations spread through an evolving
population. The ratio of non-synonymous to synonymous mutations (dN/dS) has become …

Despite extraordinary efforts to profile cancer genomes, interpreting the vast amount of
genomic data in the light of cancer evolution remains challenging. Here we demonstrate that …

As modeling becomes a more widespread practice in the life sciences and biomedical
sciences, researchers need reliable tools to calibrate models against ever more complex and …

Subclonal architectures are prevalent across cancer types. However, the temporal evolutionary
dynamics that produce tumor subclones remain unknown. Here we measure clone …

Genetic and epigenetic variation, together with transcriptional plasticity, contribute to
intratumour heterogeneity 1 . The interplay of these biological processes and their respective …

The phenotype and function of cells enriched in tumor-propagating activity and their relationship
to the phenotypic architecture in multiple myeloma (MM) are controversial. Here, in a …

Approximate Bayesian computation (ABC) has gained popularity over the past few years for
the analysis of complex models arising in population genetics, epidemiology and system …