In C. elegans, small RNAs enable transmission of epigenetic responses across multiple
generations. While RNAi inheritance mechanisms that enable "memorization" of ancestral …

Many countries have applied lockdown that helped suppress COVID-19, but with devastating
economic consequences. Here we propose exit strategies from lockdown that provide …

We present the Pareto task inference method (ParTI; http://www.weizmann.ac.il/mcb/UriAlon/download/ParTI
) for inferring biological tasks from high-dimensional biological data. Data …

Organisms adjust their gene expression to improve fitness in diverse environments. But
finding the optimal expression in each environment presents a challenge. We ask how good …

There is a revolution in the ability to analyze gene expression of single cells in a tissue. To
understand this data we must comprehend how cells are distributed in a high-dimensional …

When organisms need to perform multiple tasks they face a fundamental tradeoff: no phenotype
can be optimal at all tasks. This situation was recently analyzed using Pareto optimality, …

Longitudinal multi-omics measurements are highly valuable in studying heterogeneity in
health and disease phenotypes. For thousands of people, we have collected longitudinal multi-…

Stress activates a complex network of hormones known as the hypothalamic–pituitary–adrenal
(HPA) axis. The HPA axis is dysregulated in chronic stress and psychiatric disorders, but …

Hormones control the major biological functions of stress response, growth, metabolism, and
reproduction. In animals, these hormones show pronounced seasonality, with different set-…

Understanding the tradeoffs faced by organisms is a major goal of evolutionary biology. One
of the main approaches for identifying these tradeoffs is Pareto task inference (ParTI). Two …