Technology and innovation Ensembl Variant Effect Predictor integrates Google DeepMind’s new AlphaMissense Database for better predictions of genetic variant pathogenicity.
2023
technology-and-innovation
Research highlights, Science Researchers use the AlphaFold database and Foldseek Cluster algorithm to analyse millions of predicted protein structures and offer new insights into protein evolution.
2023
research-highlightsscience
Perspectives, Science Experience in data management and coordination has enabled EMBL alumna Laura Clarke to pursue a career in AI development.
2023
perspectivesscience
Updates from data resources The AlphaFold Database boasts improved user experience, including better search filters and an improved 3D viewer.
2023
updates-from-data-resources
Announcements, Science Researchers across EMBL are helping to make artificial intelligence (AI) models for bioimaging analysis interoperable and openly available to the scientific community.
2022
announcementsscience
Technology and innovation Over 40 million protein annotations have been added to the UniProt database using a Google Research natural language processing model.
2022
technology-and-innovation
Science EMBL scientists have combined artificial intelligence (AI) algorithms with two cutting-edge microscopy techniques.
2021
science
Lab Matters EMBL Teen Maria-Theresa Licka shares how female scientists guided & inspired her to develop an app to ID vine disease.
2021
lab-matters
Science Members of an EMBL-led research group with collaborators in Estonia and Russia have built and trained a deep learning model to better understand how cells grow and divide.
2020
science
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