Georg Seelig
#113,934
Most Influential Person Now
Swiss computer scientist, bioengineer, synthetic biologist
Georg Seelig's AcademicInfluence.com Rankings
Georg Seeligengineering Degrees
Engineering
#6106
World Rank
#7410
Historical Rank
Bioengineering
#112
World Rank
#114
Historical Rank

Georg Seeligcomputer-science Degrees
Computer Science
#8728
World Rank
#9178
Historical Rank
Database
#8683
World Rank
#9107
Historical Rank

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Engineering Computer Science
Georg Seelig's Degrees
- PhD Computer Science ETH Zurich
- Masters Computer Science ETH Zurich
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Why Is Georg Seelig Influential?
(Suggest an Edit or Addition)According to Wikipedia, Georg Seelig is a Swiss computer scientist, bioengineer, and synthetic biologist. He is an associate professor of Electrical Engineering and Computer Science & Engineering at the University of Washington. He is a researcher in the field of DNA nanotechnology.
Georg Seelig's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Dynamic DNA nanotechnology using strand-displacement reactions. (2011) (1335)
- Enzyme-Free Nucleic Acid Logic Circuits (2006) (1259)
- Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding (2018) (738)
- DNA as a universal substrate for chemical kinetics (2009) (669)
- Programmable chemical controllers made from DNA. (2013) (443)
- DNA nanotechnology from the test tube to the cell. (2015) (416)
- Random access in large-scale DNA data storage (2018) (386)
- A DNA-Based Archival Storage System (2016) (302)
- De novo design of protein homo-oligomers with modular hydrogen-bond network–mediated specificity (2016) (234)
- Variant Interpretation: Functional Assays to the Rescue. (2017) (228)
- Enzyme-free nucleic acid dynamical systems (2017) (223)
- A spatially localized architecture for fast and modular DNA computing. (2017) (207)
- Learning the Sequence Determinants of Alternative Splicing from Millions of Random Sequences (2015) (194)
- Human 5′ UTR design and variant effect prediction from a massively parallel translation assay (2018) (156)
- Catalyzed relaxation of a metastable DNA fuel. (2006) (155)
- Computing in mammalian cells with nucleic acid strand exchange (2015) (155)
- Deep learning of the regulatory grammar of yeast 5′ untranslated regions from 500,000 random sequences (2017) (132)
- Conditionally fluorescent molecular probes for detecting single base changes in double-stranded DNA. (2013) (116)
- A Deep Neural Network for Predicting and Engineering Alternative Polyadenylation (2019) (103)
- Enzymatic characterization of hepatitis C virus NS3/4A complexes expressed in mammalian cells by using the herpes simplex virus amplicon system (1996) (101)
- Microbial single-cell RNA sequencing by split-pool barcoding (2019) (86)
- An Engineered Kinetic Amplification Mechanism for Single Nucleotide Variant Discrimination by DNA Hybridization Probes. (2016) (73)
- Molecular circuits for dynamic noise filtering (2016) (67)
- A molecular multi-gene classifier for disease diagnostics (2018) (62)
- DNA assembly for nanopore data storage readout (2019) (60)
- Quantifying molecular bias in DNA data storage (2019) (57)
- Redefining the Etiologic Landscape of Cerebellar Malformations. (2019) (53)
- Spatial and cell-type transcriptional landscape of human cerebellar development (2021) (49)
- DNA-based molecular architecture with spatially localized components (2013) (43)
- A Generative Neural Network for Maximizing Fitness and Diversity of Synthetic DNA and Protein Sequences (2020) (43)
- Scaling single cell transcriptomics through split pool barcoding (2017) (42)
- MicroRNA-based single-gene circuits buffer protein synthesis rates against perturbations. (2014) (42)
- Scaling up DNA data storage and random access retrieval (2017) (36)
- DNA-Based Fixed Gain Amplifiers and Linear Classifier Circuits (2010) (35)
- Toward a DNA-Based Archival Storage System (2017) (33)
- DNA Data Storage and Hybrid Molecular–Electronic Computing (2019) (32)
- Cell states beyond transcriptomics: integrating structural organization and gene expression in hiPSC-derived cardiomyocytes (2020) (30)
- A Content-Addressable DNA Database with Learned Sequence Encodings (2018) (27)
- Fast differentiable DNA and protein sequence optimization for molecular design (2020) (24)
- DNA Hybridization Catalysts and Catalyst Circuits (2004) (23)
- Practical aspects of structural and dynamic DNA nanotechnology (2017) (21)
- Nucleic Acid Strand Displacement with Synthetic mRNA Inputs in Living Mammalian Cells. (2018) (21)
- Nanocrafter: Design and Evaluation of a DNA Nanotechnology Game (2015) (20)
- Time-Complexity of Multilayered DNA Strand Displacement Circuits (2009) (18)
- Molecular-level similarity search brings computing to DNA data storage (2021) (17)
- A comprehensive analysis of gene expression changes in a high replicate and open-source dataset of differentiating hiPSC-derived cardiomyocytes (2021) (16)
- Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge (2018) (15)
- Programmable patterns in a DNA-based reaction-diffusion system (2019) (14)
- Computational Design of Reaction-Diffusion Patterns Using DNA-Based Chemical Reaction Networks (2014) (14)
- Content-Based Similarity Search in Large-Scale DNA Data Storage Systems (2020) (11)
- Extrinsic Noise Suppression in Micro RNA mediated Incoherent Feedforward Loops (2018) (10)
- Identifying progressive gene network perturbation from single-cell RNA-seq data (2018) (10)
- Erratum: Random access in large-scale DNA data storage (2018) (9)
- Plasmid-derived DNA Strand Displacement Gates for Implementing Chemical Reaction Networks (2015) (8)
- Rewiring MAP kinases in Saccharomyces cerevisiae to regulate novel targets through ubiquitination (2016) (8)
- A DNA Neural Network Constructed from Molecular Variable Gain Amplifiers (2017) (8)
- Deep exploration networks for rapid engineering of functional DNA sequences (2019) (7)
- Machine Learning for Designing Next-Generation mRNA Therapeutics. (2021) (7)
- Fast activation maximization for molecular sequence design (2021) (6)
- Spatial and single-cell transcriptional landscape of human cerebellar development (2020) (6)
- Interpreting neural networks for biological sequences by learning stochastic masks (2021) (5)
- Degenerate minigene library analysis enables identification of altered branch point utilization by mutant splicing factor 3B1 (SF3B1) (2018) (5)
- Modular, robust, and extendible multicellular circuit design in yeast (2021) (4)
- Prior knowledge and sampling model informed learning with single cell RNA-Seq data (2017) (4)
- Predicting the Impact of cis-Regulatory Variation on Alternative Polyadenylation (2018) (3)
- CellMeSH: probabilistic cell-type identification using indexed literature (2020) (3)
- Deciphering the impact of genetic variation on human polyadenylation using APARENT2 (2022) (2)
- A Spatially Localized Architecture for Fast and Modular Computation at the Molecular Scale (2017) (2)
- A nanopore interface for higher bandwidth DNA computing (2021) (2)
- Learning the sequence determinants of alternative splicing from millions of random synthetic sequences (2015) (1)
- Navigating through a maze (2019) (1)
- A Fluorescent Readout for the Oxidation State of Electron Transporting Proteins in Cell Free Settings. (2016) (1)
- UNCURL-App: Interactive database-driven analysis of scRNA-Seq data (2020) (1)
- Robust Digital Molecular Design of Binarized Neural Networks (2021) (1)
- Fast activation maximization for molecular sequence design (2021) (0)
- Noise Suppression and Pulse Generation in a Microrna Feed-Forward Loop (2013) (0)
- Quantifying molecular bias in DNA data storage (2020) (0)
- Author response: Rewiring MAP kinases in Saccharomyces cerevisiae to regulate novel targets through ubiquitination (2016) (0)
- Combined Amplification and Molecular Classification for Gene Expression Diagnostics (2019) (0)
- Highlights of Current Computer Engineering Research at the University of Washington Recent Hires (2010) (0)
- The anti-cancer compound JTE-607 reveals hidden sequence specificity of the mRNA 3′ processing machinery (2023) (0)
- Supplementary materials: Programmable patterns in a DNA-based reaction- diffusion system (2019) (0)
- DNA assembly for nanopore data storage readout (2019) (0)
- Human 5′ UTR design and variant effect prediction from a massively parallel translation assay (2019) (0)
- Interpreting neural networks for biological sequences by learning stochastic masks (2022) (0)
- DNA storage in thermoresponsive microcapsules for repeated random multiplexed data access (2023) (0)
- Lawrence Berkeley National Laboratory Recent Work Title De novo design of protein homo-oligomers with modular hydrogen-bond network-mediated specificity Permalink (0)
- Massively parallel protein-protein interaction measurement by sequencing (MP3-seq) enables rapid screening of protein heterodimers (2023) (0)
- Material for Enzyme-Free Nucleic Acid Logic Circuits (2006) (0)
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Georg Seelig is affiliated with the following schools: