DNA Hybridization Catalysts and Catalyst Circuits. - Georg Seelig; Bernard Yurke; Erik Winfree (DNA, 2004)

DNA as a Universal Substrate for Chemical Kinetics. - David Soloveichik; Georg Seelig; Erik Winfree (DNA, 2008)

Time-Complexity of Multilayered DNA Strand Displacement Circuits. - Georg Seelig; David Soloveichik (DNA, 2009)

DNA-Based Fixed Gain Amplifiers and Linear Classifier Circuits. - David Yu Zhang; Georg Seelig (DNA, 2010)

DNA-based molecular architecture with spatially localized components. - Richard A. Muscat; Karin Strauss; Luis Ceze; Georg Seelig (ISCA, 2013)

Computational Design of Reaction-Diffusion Patterns Using DNA-Based Chemical Reaction Networks. - Neil Dalchau; Georg Seelig; Andrew Phillips (DNA, 2014)

Nanocrafter: Design and Evaluation of a DNA Nanotechnology Game. - Jonathan Barone; Colin Bayer; Rowan Copley; Nova Barlow; Matthew Burns; Sundipta Rao; Georg Seelig; Zoran Popovic; Seth Cooper (FDG, 2015)

A DNA-Based Archival Storage System. - James Bornholt; Randolph Lopez; Douglas M. Carmean; Luis Ceze; Georg Seelig; Karin Strauss (ASPLOS, 2016)

A DNA Neural Network Constructed from Molecular Variable Gain Amplifiers. - Sherry Xi Chen; Georg Seelig (DNA, 2017)

Toward a DNA-Based Archival Storage System. - James Bornholt; Randolph Lopez; Douglas M. Carmean; Luis Ceze; Georg Seelig; Karin Strauss (IEEE Micro, 2017)

Extrinsic Noise Suppression in Micro RNA Mediated Incoherent Feedforward Loops. - Alberto Carignano; Sumit Mukherjee; Abhyudai Singh; Georg Seelig (CDC, 2018)

A Content-Addressable DNA Database with Learned Sequence Encodings. - Kendall Stewart; Yuan-Jyue Chen; David Ward; Xiaomeng Liu; Georg Seelig; Karin Strauss; Luis Ceze (DNA, 2018)

Identifying progressive gene network perturbation from single-cell RNA-seq data. - Sumit Mukherjee; Alberto Carignano; Georg Seelig; Su-In Lee (EMBC, 2018)

Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge. - Sumit Mukherjee; Yue Zhang 024; Joshua Fan 002; Georg Seelig; Sreeram Kannan (Bioinform., 2018)

Combined Amplification and Molecular Classification for Gene Expression Diagnostics. - Gokul Gowri; Randolph Lopez; Georg Seelig (DNA, 2019)

DNA Data Storage and Hybrid Molecular-Electronic Computing. - Douglas M. Carmean; Luis Ceze; Georg Seelig; Kendall Stewart; Karin Strauss; Max Willsey (Proc. IEEE, 2019)

Fast differentiable DNA and protein sequence optimization for molecular design. - Johannes Linder; Georg Seelig (CoRR, 2020)

Robust Digital Molecular Design of Binarized Neural Networks. - Johannes Linder; Yuan-Jyue Chen; David Wong; Georg Seelig; Luis Ceze; Karin Strauss (DNA, 2021)

Fast activation maximization for molecular sequence design. - Johannes Linder; Georg Seelig (BMC Bioinform., 2021)

CellMeSH: probabilistic cell-type identification using indexed literature. - Shunfu Mao; Yue Zhang 024; Georg Seelig; Sreeram Kannan (Bioinform., 2022)

Interpreting neural networks for biological sequences by learning stochastic masks. - Johannes Linder; Alyssa La Fleur; Zibo Chen; Ajasja Ljubetic; David Baker 001; Sreeram Kannan; Georg Seelig (Nat. Mach. Intell., 2022)