Georg Seelig

Molecular Biology · 2009–2020

A researcher in the Science corpus: 14 papers; trusts 21 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 275 citations into it; #8,129 of 17,773 by trust here, #3,584 by citations
• Ecology — 31 citations into it
• Artificial Intelligence — 23 citations into it
• Electrical and Electronic Engineering — 7 citations into it; #14,491 of 16,539 by trust here, #12,727 by citations
• Mechanical Engineering — 6 citations into it

Whom Georg Seelig trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Erik Winfree
2. David Y. Zhang
3. Paul Wilhelm Karl Rothemund
4. David Soloveichik
5. Nadrian C. Seeman
6. Milan N. Stojanovic
7. Robert M. Dirks
8. Peng Yin
9. Hao Yan
10. Niles A. Pierce

Who trusts Georg Seelig overall

1. David Y. Zhang
2. Kevin Montagne

Papers from Georg Seelig's perspective

Ordered by how strongly the researchers Georg Seelig trusts endorse each paper. Same corpus, a different order for every researcher.

1. A deoxyribozyme-based molecular automaton (Nature Biotechnology)
2. The thermodynamics of computation—a review
3. NUPACK: Analysis and design of nucleic acid systems (Journal of Computational Chemistry)
4. Nanomaterials Based on DNA
5. Folding DNA to create nanoscale shapes and patterns
6. Construction of a genetic toggle switch in Escherichia coli (Nature)
7. Nucleic Acids: Structures, Properties, and Functions
8. Molecular Robots Guided by Prescriptive Landscapes (Nature)
9. A fast, robust, and tunable synthetic gene oscillator (Nature)
10. Engineering Entropy-Driven Reactions and Networks Catalyzed by DNA (Science)

Their papers

• De novo design of protein homo-oligomers with modular hydrogen-bond network–mediated specificity (2016) — 295 citations
• A Generative Neural Network for Maximizing Fitness and Diversity of Synthetic DNA and Protein Sequences (2020) — 99 citations
• SPLiT-seq reveals cell types and lineages in the developing brain and spinal cord (2018) — 1,182 citations
• DNA as a universal substrate for chemical kinetics (2009) — 751 citations
• Human 5′ UTR design and variant effect prediction from a massively parallel translation assay (2018) — 408 citations
• Variant Interpretation: Functional Assays to the Rescue. (2017) — 350 citations
• A DNA-Based Archival Storage System (2016) — 475 citations
• Programmable chemical controllers made from DNA (2013) — 488 citations
• Dynamic DNA nanotechnology using strand-displacement reactions. (2011) — 1,584 citations
• Random access in large-scale DNA data storage (2018) — 744 citations
• Deep learning of the regulatory grammar of yeast 5′ untranslated regions from 500,000 random sequences (2017) — 193 citations
• A spatially localized architecture for fast and modular DNA computing. (2017) — 300 citations
• Enzyme-free nucleic acid dynamical systems (2017) — 319 citations
• Learning the sequence determinants of alternative splicing from millions of random sequences. (2015) — 261 citations