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Tyler Laird, Kevin Flyangolts, Craig Bartling, Bryan Gemler, Jacob Beal, Tom Mitchell, Steven T. Murphy, Jens Berlips, Leonard Foner, Ryan Doughty, Felix Qunitana, Michael Nute, Todd J. Treangen, Gene D. Godbold, Krista Ternus, Tessa Alexanian, Nicole Wheeler, Samuel Forry
Nucleic acid synthesis is a dual-use technology that can benefit fields such as biology, medicine, and information storage. However, synthetic nucleic acids could also potentially be used negligently and ultimately cause harm, or be used with malicious
Svetlana Ikonomova, Bruce Wittmann, Fernanda Piorino Macruz de Oliveira, David Ross, Samuel Schaffter, Olga Vasilyeva, Elizabeth Strychalski, Eric Horvitz, James Diggans, Sheng Lin-Gibson, Geoffrey Taghon
Advances in machine learning are providing new abilities for engineering biology, promising leaps forward with beneficial applications. At the same time, these advances raise concerns about biosecurity. Recently, Wittmann et al. described an in silico
Olivia Love, Rodrigo Galindo-Murillo, Daniel Roe, Pablo D. Dans, Thomas E. Cheatham III, Christina Bergonzo
Modified nucleic acids have surged as a popular therapeutic route, emphasizing the importance of nucleic acid research in drug discovery and development. Beyond well-known RNA vaccines, antisense oligonucleotides and aptamers can incorporate various
Large-scale measurements linking genetic background to biological function have drivena need for models that can incorporate these data for reliable predictions and insightinto the underlying biophysical system. Recent modeling efforts, however, prioritize
Elizabeth Strychalski, Jennifer Mantla, Jayan Rammohan, Eugenia Romantseva, Reid D'Amico, Joel Welch, Leah R. Kauffman, Jim McCarthy, John E. Schiel, Jeffrey Baker, Kelley Rogers, Kelvin Lee
Next-generation sequencing (NGS) is not routinely used in applied settings due to lack of confidence in results. This workshop convened experts to identify measurement challenges impeding NGS implementation and potential standards-based solutions to