Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain
the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in
Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles
and JavaScript.
Computational and experimental methods are bringing researchers closer to their goal of revealing exactly where in a cell or tissue each gene is expressed.
Medical records can be tricky to access because of confidentiality and variability, but data-sharing efforts are helping to overcome these hurdles — without compromising patient privacy.
Data sharing can save important scientific work from extinction, but only if researchers take care to ensure that resources are easy to find and reuse.
Deep-learning algorithms such as AlphaFold2 and RoseTTAFold can now predict a protein’s 3D shape from its linear sequence — a huge boon to structural biologists.