georg seelig - Nanotechnology

Author Information

Georg Seelig is associated with the Molecular Engineering & Sciences Institute at the University of Washington, located in Seattle, WA, USA. His research focuses on the intersection of molecular engineering and biological systems, contributing significantly to the field of nanotechnology and synthetic biology.

Research Contributions

Georg Seelig has made numerous contributions to nanotechnology and systems biology, as evidenced by his recent publications. His work includes innovative approaches to multicellular circuit design in yeast, probabilistic cell-type identification, and interpreting neural networks for biological sequences. He has also explored machine learning applications in mRNA therapeutics and digital molecular design. His research aims to bridge the gap between computational models and biological systems, advancing our understanding and capabilities in synthetic biology and molecular engineering.

Aliases

There are no aliases listed for Georg Seelig. He is referenced by his full name in all academic and professional contexts.

Publication and Citation Metrics

Metric	Value
Total Citations	7832
h-index	35
Number of Papers	84

Publications:

Modular, robust, and extendible multicellular circuit design in yeast

DOI: 10.7554/eLife.74540

Year: 2022

CellMeSH: probabilistic cell-type identification using indexed literature

DOI: 10.1093/bioinformatics/btab834

Year: 2022

Interpreting neural networks for biological sequences by learning stochastic masks

DOI: 10.1038/s42256-021-00428-6

Year: 2022

Interpreting Neural Networks for Biological Sequences by Learning Stochastic Masks

DOI: 10.1101/2021.04.29.441979

Year: 2021

Machine Learning for Designing Next-Generation mRNA Therapeutics.

DOI: 10.1021/acs.accounts.1c00621

Year: 2021

Robust Digital Molecular Design of Binarized Neural Networks

DOI: 10.4230/LIPIcs.DNA.27.1

Year: 2021

Spatial and cell-type transcriptional landscape of human cerebellar development

DOI: 10.1038/s41593-021-00872-y

Year: 2021

A nanopore interface for high bandwidth DNA computing

DOI: 10.1101/2021.12.30.474555

Year: 2021

Modular, robust and extendible multicellular circuit design in yeast

DOI: 10.1101/2021.10.13.464175

Year: 2021

A comprehensive analysis of gene expression changes in a high replicate and open-source dataset of differentiating hiPSC-derived cardiomyocytes

DOI: 10.1101/2021.04.22.441027

Year: 2021

What are the Challenges Associated with Precursor Concentration?

What is the Role of Nanotechnology in Cell Analysis?

How Does Terahertz Aid in Imaging and Sensing?

What Role Does Collagen Play in Tissue Engineering?

What are the Applications of Electroplating in Nanotechnology?

Why are Organic-Inorganic Hybrids Important in Nanotechnology?

Why is Reliability Important?

What is a Differential Mobility Analyzer (DMA)?

How is Surface Functionalization Achieved?

What is Zyvex Labs?

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