Wasserstein distances are metrics on probability distributions inspired by the problem of
optimal mass transportation. Roughly speaking, they measure the minimal effort required to …

The human microbiome is the totality of all microbes in and on the human body, and its
importance in health and disease has been increasingly recognized. High-throughput …

Next generation sequencing (NGS) technologies have led to a ubiquity of molecular
sequence data. This data avalanche is particularly challenging in metagenetics, which …

We present genesis, a library for working with phylogenetic data, and gappa, an
accompanying command-line tool for conducting typical analyses on such data. The tools …

Like all organisms on the planet, environmental microbes are subject to the forces of
molecular evolution. Metagenomic sequencing provides a means to access the DNA …

Background Bacterial vaginosis (BV) is a common condition that is associated with
numerous adverse health outcomes and is characterized by poorly understood changes in …

Patient-derived organoids (PDOs) can model personalized therapy responses; however,
current screening technologies cannot reveal drug response mechanisms or how tumor …

Background Likelihood-based phylogenetic inference is generally considered to be the most
reliable classification method for unknown sequences. However, traditional likelihood-based …

The Wasserstein distance is an attractive tool for data analysis but statistical inference is
hindered by the lack of distributional limits. To overcome this obstacle, for probability …

Every year, 11% of infants are born preterm with significant health consequences, with the
vaginal microbiome a risk factor for preterm birth. We crowdsource models to predict (1) …