Abstract Deep learning has become a popular tool to study cis-regulatory function. Yet efforts to design software for deep-learning analyses in regulatory genomics that are findable, accessible, interoperable and reusable (FAIR) have fallen short of fully meeting these criteria. Here we present elucidating the utility of genomic elements with neural nets (EUGENe), a FAIR toolkit…

Abstract In Australian astronomy, women’s representation remains at historic lows, despite a decade of initiatives aimed at improving the representation and support of women in astronomy and academia more generally. Drawing from research in the fields of sociology and psychology, we designed a new evidence-based programme to increase the percentage of women recruited and retained…

John Donne famously said that nobody “is an island entire of itself”. This month sees the opening-up of a new ‘continent’ for plant scientists. The scientific endeavour is not a zero-sum game. More is achieved more quickly by a group of researchers collaborating than by the same collection of individuals working alone. Duplications of efforts…

Using deep learning methods to study gene regulation has become popular, but designing accessible and customizable software for this purpose remains a challenge. This work introduces a computational toolkit called EUGENe that facilitates the development of end-to-end deep learning workflows in regulatory genomics. This is a preview of subscription content, access via your institution Access…