no code implementations • 16 Apr 2024 • Benjamin J. Livesey, Mihaly Badonyi, Mafalda Dias, Jonathan Frazer, Sushant Kumar, Kresten Lindorff-Larsen, David M. McCandlish, Rose Orenbuch, Courtney A. Shearer, Lara Muffley, Julia Foreman, Andrew M. Glazer, Ben Lehner, Debora S. Marks, Frederick P. Roth, Alan F. Rubin, Lea M. Starita, Joseph A. Marsh
Computational methods for assessing the likely impacts of mutations, known as variant effect predictors (VEPs), are widely used in the assessment and interpretation of human genetic variation, as well as in other applications like protein engineering.
no code implementations • 26 Jun 2023 • Melina Claussnitzer, Victoria N. Parikh, Alex H. Wagner, Jeremy A. Arbesfeld, Carol J. Bult, Helen V. Firth, Lara A. Muffley, Alex N. Nguyen Ba, Kevin Riehle, Frederick P. Roth, Daniel Tabet, Benedetta Bolognesi, Andrew M. Glazer, Alan F. Rubin
Multiplexed Assays of Variant Effect (MAVEs) have emerged as a powerful approach for interrogating thousands of genetic variants in a single experiment.