APPLICATIONS OF TECHNOLOGY: Bioenergy feedstock plants ABSTRACT: Researchers at Berkeley Lab's Joint BioEnergy Institute (JBEI) have invented a genetically modified plant cell or plant, comprising: (a) (i) one or more nucleic acids each encoding one or more transcription factors (or transcription activators) operatively linked to a first tissue-specific or … [Read more...] about Synthetic Promoters Useful for Expression in Plant Cells 2015-049
Synthetic Biology Tools and Software
Spectroscopic Imaging and Analysis of Live Cells 2015-077
ABSTRACT: Researchers at Berkeley Lab led by Hoi-Ying Holman have developed technologies for measurement, visualization, and analysis of chemical dynamics in living cells or tissues for diagnostic pathology. Devices can be open- or closed-channel microfluidic membrane devices for long-term IR spectroscopy of live adherent cells and ultimately for rapidly identifying … [Read more...] about Spectroscopic Imaging and Analysis of Live Cells 2015-077
Arrowland: An Online Multiscale Interactive Tool for -omics Data Visualization 2016-102
APPLICATIONS OF TECHNOLOGY Data visualization for metabolic modeling ADVANTAGES: Convenient data input Flux data visualization Simultaneous visualization of -omics data Embedding in Jupyter notebooks ABSTRACT: Arrowland is a web-based software application primarily for mapping, integrating, and visualizing a variety of metabolism data of living … [Read more...] about Arrowland: An Online Multiscale Interactive Tool for -omics Data Visualization 2016-102
Predicting Metabolic Pathway Dynamics from Time Series Multiomics Data Using Machine Learning Techniques 2017-049
APPLICATIONS OF TECHNOLOGY: Genetic engineering ADVANTAGES: Outperforms kinetic models to predict pathway dynamics in bioengineered systems ABSTRACT: Hector Garcia Martin and Zac Costello of Berkeley Lab’s Joint BioEnergy Institute (JBEI) have determined that the combination of machine learning and abundant multiomics data (proteomics and metabolomics) can be … [Read more...] about Predicting Metabolic Pathway Dynamics from Time Series Multiomics Data Using Machine Learning Techniques 2017-049
Gold Nanoparticle Film for Nanostructure-Initiator Mass Spectrometry (NIMS) 2017-036
APPLICATIONS OF TECHNOLOGY: Foundational new approach to mass spectrometry that is compatible with microfluidics, for applications in Pharmaceuticals Biomanufacturing Diagnostics ADVANTAGES: Enables “yes/no” determinations in binding assays, also potentially with ability to identify what is being bound Simplifies wafer-level batch fabrication … [Read more...] about Gold Nanoparticle Film for Nanostructure-Initiator Mass Spectrometry (NIMS) 2017-036