Gloved hand piping DNA in the labThe Allen School’s groundbreaking research in Molecular Programming & Synthetic Biology blends computation and biology to advance exciting new capabilities for data storage, search and retrieval using synthetic DNA; biological control circuits to support new approaches to the diagnosis and treatment of disease; and programmable nano-scale devices to power a new generation of chips that integrate biosensors with optics and electronics. Our research takes inspiration from nature to develop new architectures and computational processes that are faster, more efficient, and more durable than what has come before.

Also check out the Allen School's work in Computational Biology.

Molecular Information Systems Lab

The Molecular Information Systems Lab (MISL) is a partnership between the University of Washington and Microsoft that brings together faculty, students and research scientists with expertise in computer architecture, programming languages, synthetic biology and biochemistry. The lab explores the intersection of information technology and molecular-level manipulation through in-silico and wet lab experiments, including projects related to DNA-based archival data storage, synthetic biology, molecular circuits, microfluidics animation, and nanopore-based sensing.

Seelig Lab for Synthetic Biology

The Seelig Lab brings together researchers from the Allen School and the UW Department of Electrical & Computer Engineering to advance our understanding of how biological organisms process information using complex biochemical networks and how to engineer those networks to program cellular behavior. The goal of their work, which integrates the design of molecular circuitry in the test tube and in the cell with the investigation of existing biological pathways, is to engineer biological control circuits with DNA and RNA components that can enable new diagnostics and therapeutics.

Thachuk Lab for Molecular Programming

The Thachuk Lab pursues interdisciplinary research applying fundamental principles from computer science and engineering to the creation of programmable matter at the nanoscale using biomolecules such as DNA. The goal is to harness such biomolecules’ chemical processes, structure, density and efficiency to enable the design and development of new molecular information processing architectures from the ground up.

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