Google scholar profile
Preprints
Yuan-Jyue Chen, Christopher N. Takahashi, Lee Organick, Kendall Stewart, Siena Dumas Ang, PatrickWeiss, Bill Peck, Georg Seelig, Luis Ceze, Karin Strauss, Quantifying Molecular Bias in DNA Data Storage, bioRxiv.
Sifang Chen and Georg Seelig, Programmable patterns in a DNA-based reaction-diffusion system, bioRxiv.
Paul J. Sample, Ban Wang, David W. Reid, Vladimir Presnyak, Iain McFadyen, David R. Morris and Georg Seelig, Human 5'UTR design and variant effect prediction from a massively parallel translation assay, bioRxiv.
2019
Nicholas Bogard*, Johannes Linder*, Alexander B. Rosenberg and Georg Seelig, A Deep Neural Network for Predicting and Engineering Alternative Polyadenylation, Cell, in print (2019); https:/doi.org/10.1016/j.cell.2019.04.046. Older version on bioRxiv.
Douglas Carmean, Luis Ceze, Georg Seelig, Karin Strauss, Kendall Stewart and Max Willsey, DNA Data Storage and Hybrid Molecular-Electronic Computing, Proceeding of the IEEE 107, 63 (2019); doi: 10.1109/JPROC.2018.2875386.
2018
Abhishek K Gupta, Tushar Murthy, Kiran V. Paul, Oscar Ramirez, Joseph B Fisher, Sridhar Rao, Alexander B. Rosenberg, Georg Seelig, Alex C Minella and Manoj M. Pillai, Degenerate minigene library analysis enables identification of altered branch point utilization by mutant splicing factor 3B1 (SF3B1), Nucleic Acids Research 47, 970 (2018); https://doi.org/10.1093/nar/gky1161.
Gourab Chatterjee, Yuan-Jyue Chen and Georg Seelig, Nucleic acid strand displacement with synthetic mRNA inputs in mammalian cells, ACS Synthetic Biology 7, 2737 (2018); doi: 10.1021/acssynbio.8b00288.
Sumit Mukherjee, Alberto Carignano, Georg Seelig and Su-In Lee, Identifying progressive gene network perturbations from single-cell RNA-seq data, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, USA, 2018, pp. 5034-5040, doi: 10.1109/EMBC.2018.8513444 (2018). (also on bioRxiv)
Randolph Lopez Barrezueta , Ruofan Wang, and Georg Seelig, A molecular multi-gene classifier for disease diagnostics, Nature Chemistry 10, 746 (2018). (pdf, view only )
Sumit Mukherjee, Yue Zhang, Joshua Fan, Sreeram Kannan and Georg Seelig, Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge, Bioinformatics 34, i124 (2018).
Alexander B Rosenberg*, Charles Roco*, Richard A Muscat, Anna Kuchina, Paul Sample, Sumit Mukherjee, Wei Chen, David J Peeler, Zizhen Yao, Suzie H Pun, Drew L Sellers, Bosiljka Tasic, and Georg Seelig, Single cell profiling of the developing mouse brain and spinal cord with split-pool barcoding, Science 360, 176 (2018). pdf
Lee Organick, Siena Dumas Ang, Yuan-Jyue Chen, Randolph Lopez, Sergey Yekhanin, Konstantin Makarychev, Miklos Z Racz, Govinda Kamath, Parikshit Gopalan, Bichlien Nguyen, Christopher Takahashi, Sharon Newman, Hsing-Yeh Parker, Cyrus Rashtchian, Kendall Stewart, Gagan Gupta, Robert Carlson, John Mulligan, Douglas Carmean, Georg Seelig, Luis Ceze and Karin Strauss, Scaling up DNA data storage and random access retrieval, Nature Biotechnology 36, 242 (2018).
2017
Niranjan Srinivas, James Perkin, Georg Seelig, Erik Winfree and David Soloveichik, Enzyme-free nucleic acid dynamical systems, Science 358, eaal2052 (2017). An earlier version is on bioRxiv.
Pengfei Wang, Gourab Chatterjee, Hao Yan, Thomas H. LaBean, Andrew J. Turberfield, Carlos E. Castro, Georg Seelig and Yongang Ke, Practical aspects of structural and dynamic DNA nanotechnology (review), Materials Research Society Bulletin 42, 889 (2017).
Josh T. Cuperus*, Benjamin Groves*, Anna Kuchina*, Alexander Rosenberg*, Nebojsa Jojic, Stanley Fields and Georg Seelig, Deep learning of the regulatory grammar of yeast 5' untranslated regions from 500,000 random sequences, Genome Research 27, 2015 (2017). An earlier version can be found on bioRxiv.
Sherry Xi Chen and Georg Seelig, A DNA Neural Network Constructed from Molecular Variable Gain Amplifiers, International Conference on DNA Computing and Molecular Programming (2017).
Lea Starita, Nadav Ahituv, Maitreya J Dunham, Jacob O Kitzman, Frederick Roth, Georg Seelig, Jay Shendure, Douglas Fowler, Variant interpretation: functional data to the rescue, The American Journal of Human Genetics 101, 315 (2017).
Gourab Chatterjee, Neil Dalchau, Richard A Muscat, Andrew Phillips and Georg Seelig, A spatially localized architecture for fast and modular DNA computing, Nature Nanotechnology 12, 920 (2017). An earlier version is on bioRxiv. See also News & Views by Esteves-Torres and Rondelez.
James Bornholt, Randolph Lopez, Douglas M. Carmean, Georg Seelig, Luiz Ceze and Karin Strauss, Toward a DNA-based Archival Storage System, IEEE Micro 37, 98 (2017).
2016
Benjamin Groves*, Arjun Khakhar*, Cory Nadel, Richard Gardner, and Georg Seelig, Rewiring MAP kinases in Saccharomyces cerevisiae to regulate novel targets through ubiquitination, eLife, DOI: http://dx.doi.org/10.7554/eLife.15200 (2016).
Scott E. Boyken, Zibo Chen, Ben Groves, Robert A. Langan, Gustav Oberdorfer, Alex Ford, Jason Gilmore, Chunfu Xu, Frank DiMaio, Jose Henrique Pereira, Banumathi Sankaran, Georg Seelig, Peter H. Zwart, and David Baker, De novo design of protein homo-oligomers with modular hydrogen bond network mediated specificity, Science 352, 680 (2016).
Christoph Zechner, Georg Seelig, Marc Rullan, and Mustafa Khammash, Molecular circuits for dynamic noise filtering, Proc. Nat. Acad. Sci, doi: 10.1073/pnas.1517109113 (2016).
Sergii Pochekailov, Rebecca Black, Venkata Chavali, Arjun Khakhar, and Georg Seelig, A fluorescent readout for the oxidation state of electron transporting proteins in cell free settings, ACS Synthetic Biology, doi: 10.1021/acssynbio.5b00274 (2016).
Sherry Xi Chen and Georg Seelig, An Engineered Kinetic Amplification Mechanism for Single Nucleotide Variant Discrimination, J. Am. Chem. Soc., DOI: 10.1021/jacs.6b00277 (2016).
James Bornholt, Randolph Lopez, Douglas M. Carmean, Luis Ceze, Georg Seelig, and Karin Strauss, A DNA-Based Archival Storage System, ASPLOS (2016).
2015
Benjamin Groves*, Yuan-Jyue Chen*, Chiara Zurla*, Sergii Pochekailov, Jonathan L. Kirschman, Philip Santangelo and Georg Seelig, Computing in mammalian cells with nucleic acid strand exchange, Nature Nanotechnology, doi:10.1038/nnano.2015.278 (2015).
Yuan-Jyue Chen, Sundipta Rao and Georg Seelig, Plasmid-derived DNA Strand Displacement Gates for Implementing Chemical Reaction Networks, J. Vis. Exp. (105), e53087, doi:10.3791/53087 (2015).
Alexander B. Rosenberg, Rupali Pathwardhan, Jay Shendure, and Georg Seelig, Learning the Sequence Determinants of Alternative Splicing from Millions of Random Sequences, Cell 163, 698 (2015).
Yuan-Jyue Chen, Benjamin Groves, Richard Muscat and Georg Seelig, DNA nanotechnology from the test tube to the cell (review), Nature Nanotechnology 10, 748 (2015).
2014
Neil Dalchau, Georg Seelig and Andrew Phillips, Computational design of reaction-diffusion patterns using DNA-based chemical reaction networks, International Conference on DNA Computing and Molecular Programming (2014).
Timothy J. Strovas, Alexander B. Rosenberg, Richard A. Muscat, Brianna E. Kuypers and Georg Seelig, A microRNA-based single-gene circuit buffers protein synthesis rates against perturbations, ACS Synthetic Biology 3, 324 (2014).
2013
Yuan-Jyue Chen, Neil Dalchau, Niranjan Srinivas, Andrew Phillips, Luca Cardelli, David Soloveichik and Georg Seelig, Programmable chemical controllers made from DNA, Nature Nanotechnology 8, 755 (2013).
Xi Sherry Chen, David Yu Zhang and Georg Seelig, Conditionally fluorescent molecular probes for detecting single base changes in double-stranded DNA, Nature Chemistry 5, 782 (2013).
Richard A. Muscat, Karin Strauss, Luis Ceze and Georg Seelig, DNA-based Molecular Architecture with Spatially Localized Components, ISCA (2013).
2011
David Yu Zhang and Georg Seelig, Dynamic DNA nanotechnology using strand displacement reactions (review), Nature Chemistry 3, 103 (2011).
David Yu Zhang and Georg Seelig, DNA-based Fixed Gain Amplifiers and Linear Classifier Circuits, DNA 16 Lecture Notes in Computer Science 6518, 176 (2011).
2010
David Soloveichik, Georg Seelig, and Erik Winfree, DNA as a Universal Substrate for Chemical Kinetics, Proc. Nat. Acad. Sci. USA 107, 5393 (2010); Supplementary information.
2009
David Soloveichik, Georg Seelig, and Erik Winfree, DNA as a Universal Substrate for Chemical Kinetics (Extended Abstract), DNA 14 Lecture Notes in Computer Science 5347, 57 (2009).
Georg Seelig and David Soloveichik, Time-Complexity of Multilayered DNA Strand Displacement Circuits , DNA 15 Lecture Notes in Computer Science 5877, 144 (2009).
2006
Georg Seelig, David Soloveichik, David Yu Zhang and Erik Winfree, Enzyme-Free Nucleic Acid Logic Circuits, Science 324, 1585 (2006); also see W. Fontana, Pulling strings, p. 1552 of the same issue. (4 page pdf, 248KB)
Georg Seelig, Bernard Yurke and Erik Winfree, Catalyzed Relaxation of a Metastable DNA Fuel, J. Am Chem. Soc. 128, 12211 (2006). (10 page pdf, 1.4MB)
2005
Georg Seelig, Bernard Yurke and Erik Winfree, DNA hybridization catalysts and catalyst circuits, Lecture Notes In Computer Science 3384, 329 (2005).
Previous work in condensed matter physics
Georg Seelig, A. V. Andreev, and K. A. Matveev, Phonon resistance of electron liquids in quantum wires, Phys. Rev. Lett. 94, 066802 (2005).
Georg Seelig, Sebastian Pilgram, and Markus Büttiker, Decoherence in ballistic mesoscopic interferometers, Turk. J. Phys. 27, 331 (2003).
G. Seelig, S. Pilgram, A. N. Jordan, and M. Büttiker, Probe configuration dependent de-phasing in a mesoscopic interferometer, Phys. Rev. B. 68, (R)161310 (2003).
Georg Seelig and K. A. Matveev, Electron-phonon scattering in quantum point contacts, Phys. Rev. Lett. 90, 176804, (2003).
Karyn Le Hur and Georg Seelig, Capacitance of a quantum dot from the channel-anisotropic two-channel Kondo model, Phys. Rev. B. 65, 165338 (2002).
Georg Seelig and Markus Büttiker, Charge-fluctuation-induced dephasing in a gated mesoscopic interferometer, Phys. Rev. B 64, 245313 (2001).
Guido Burkard, Georg Seelig and Daniel Loss, Spin interactions and switching in vertically tunnel-coupled quantum dots, Phys. Rev. B 62, 2581 (2000).