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A machine learning Automated Recommendation Tool for synthetic biology

auteur

Tijana Radivojević

Kenneth Workman

Héctor García Martín

gepubliceerd in: Nature Communications

publicatiedatum: 2020-09-25

belangrijk thema: machinaal leren

Cites articles 53

Date

Titel

Auteurs

2020-09-25

Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism

Jie Zhang, Søren D Petersen, Tijana Radivojević, Andrés Ramirez, Andrés Pérez-Manríquez, Yu Chen, Michael J Fero, Héctor García Martín, Jay Keasling, Michael Krogh Jensen
2019-08-30

Automated "Cells-To-Peptides" Sample Preparation Workflow for High-Throughput, Quantitative Proteomic Assays of Microbes

Jay Keasling, Paul D Adams, Héctor García Martín, Nathan J Hillson, Christopher J Petzold, Leanne Jade G. Chan, Jacquelyn M Blake-Hedges, Zak Costello
2019-07-01

Opportunities at the Intersection of Synthetic Biology, Machine Learning, and Automation

Pablo Carbonell, Héctor García Martín
2019-01-07

Machine Learning of Designed Translational Control Allows Predictive Pathway Optimization in Escherichia coli

Pablo Carbonell, Nicholas J W Rattray, Cunyu Yan, Neil Swainston, Helen S Toogood, Jean-Loup Faulon, Rainer Breitling, Eriko Takano, Nigel Scrutton, Adrian J Jervis
2019-05-24

Lessons from Two Design-Build-Test-Learn Cycles of Dodecanol Production in Escherichia coli Aided by Machine Learning

Markus De Raad, Trent R. Northen, Nathan J Hillson, Héctor García Martín, Harry R Beller
2019-11-13

Towards a fully automated algorithm driven platform for biosystems design

Mohammad HamediRad, Scott Weisberg, Jiazhang Lian, Huimin Zhao
2019-08-14

A Kriging-Based Approach to Autonomous Experimentation with Applications to X-Ray Scattering

Kevin G Yager, Gregory S Doerk, James Sethian
2018-09-24

A CRISPR-Cas9 gene drive targeting doublesex causes complete population suppression in caged Anopheles gambiae mosquitoes

Kyros Kyrou, Andrew Hammond, Roberto Galizi, Nace Kranjc, Austin Burt, Tony Nolan
2018-05-29

A machine learning approach to predict metabolic pathway dynamics from time-series multiomics data.
2018-03-20

Industrial brewing yeast engineered for the production of primary flavor determinants in hopped beer

Jay Keasling, Christopher J Petzold, Héctor García Martín, Henrik V. Scheller, Leanne Jade G. Chan, Zak Costello, Weiyin Lin
2018-07-18

Controlling an organic synthesis robot with machine learning to search for new reactivity

Jarosław M Granda, De-Liang Long
2018-09-19

A novel mammalian cell line development platform utilizing nanofluidics and optoelectro positioning technology

Kim Le, Hedieh Barkhordarian, Jennitte Stevens, Trent P Munro
2018-09

Using Stacking to Average Bayesian Predictive Distributions (with Discussion)

Aki Vehtari, Daniel Simpson, Andrew Gelman
2017-01-25

Dermatologist-level classification of skin cancer with deep neural networks

Sebastian Thrun, Helen Blau
2017-01-01

On-chip integration of droplet microfluidics and nanostructure-initiator mass spectrometry for enzyme screening

Steve C C Shih, Paul D Adams
2017-08-21

The Experiment Data Depot: a web-based software tool for biological experimental data storage, sharing, and visualization

Tyler W H Backman, Christopher J Petzold, Paul D Adams, Héctor García Martín, Aindrila Mukhopadhyay, Jay Keasling, Edward E Baidoo, Nathan J Hillson, Jorge Alonso-Gutierrez, Zak Costello
2016-04-07

Synthetic and systems biology for microbial production of commodity chemicals

Christopher J Petzold, Aindrila Mukhopadhyay, Jay Keasling, Héctor García Martín, Victor Chubukov
2016-03-01

Engineering Cellular Metabolism

Jens Nielsen, Jay Keasling
2016-05-25

1,500 scientists lift the lid on reproducibility

Monya Baker
2016-03-23

Metabolic Network Prediction of Drug Side Effects

Matthew A Oberhardt, Eytan Ruppin, Roded Sharan
2016-09-21

Rewriting yeast central carbon metabolism for industrial isoprenoid production
2016-01-11

Predictable tuning of protein expression in bacteria

Alex Toftgaard Nielsen, Michael Schantz Klausen, Tune Wulff
2016-02-01

A Droplet Microfluidic Platform for Automating Genetic Engineering

Steve C C Shih, Jay Keasling, Paul D Adams, Nathan J Hillson
2016

Automating Biomedical Data Science Through Tree-Based Pipeline Optimization

Jason H. Moore
2015-09-01

Natural products as biofuels and bio-based chemicals: fatty acids and isoprenoids

Harry R Beller
2015-07-07

Big Data: Astronomical or Genomical?

Michael C Schatz, Saurabh Sinha, Gene E. Robinson
2015-09-07

Analytics for Metabolic Engineering

Christopher J Petzold, Paul D Adams, Leanne Jade G. Chan, Melissa Nhan
2015-07-27

Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

Babak Alipanahi, Brendan J. Frey
2015-03-11

Bioprocess automation on a Mini Pilot Plant enables fast quantitative microbial phenotyping

Marco Oldiges, Stephan Noack, Wolfgang Wiechert
2014-04-01

A brief history of synthetic biology
2014-09-03

High-throughput discovery metabolomics

Tobias Fuhrer, Nicola Zamboni
2014-11-28

Genome editing. The new frontier of genome engineering with CRISPR-Cas9

Emmanuelle Charpentier, Jennifer Doudna

Artike - wd:Q99727536

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