4.7 Article

Multiomics Data Collection, Visualization, and Utilization for Guiding Metabolic Engineering

Related references

Note: Only part of the references are listed.
Review Biochemical Research Methods

The impact of synthetic biology for future agriculture and nutrition

Marc-Sven Roell et al.

CURRENT OPINION IN BIOTECHNOLOGY (2020)

Article Multidisciplinary Sciences

A machine learning Automated Recommendation Tool for synthetic biology

Tijana Radivojevic et al.

NATURE COMMUNICATIONS (2020)

Editorial Material Biochemical Research Methods

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

Pablo Carbonell et al.

ACS SYNTHETIC BIOLOGY (2019)

Review Biochemistry & Molecular Biology

Engineering Cellular Metabolism

Jens Nielsen et al.

Editorial Material Biochemistry & Molecular Biology

Protocols.io: Virtual Communities for Protocol Development and Discussion

Leonid Teytelman et al.

PLOS BIOLOGY (2016)

Review Mathematical & Computational Biology

Synthetic and systems biology for microbial production of commodity chemicals

Victor Chubukov et al.

NPJ SYSTEMS BIOLOGY AND APPLICATIONS (2016)

Review Biochemical Research Methods

High-throughput discovery metabolomics

Tobias Fuhrer et al.

CURRENT OPINION IN BIOTECHNOLOGY (2015)

Review Biochemistry & Molecular Biology

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

Harry R. Beller et al.

NATURAL PRODUCT REPORTS (2015)

Article Biochemistry & Molecular Biology

Big Data: Astronomical or Genomical?

Zachary D. Stephens et al.

PLOS BIOLOGY (2015)

Review Biotechnology & Applied Microbiology

Analytics for metabolic engineering

Christopher J. Petzold et al.

FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY (2015)

Review Engineering, Biomedical

Learning from nature - Novel synthetic biology approaches for biomaterial design

Anton V. Bryksin et al.

ACTA BIOMATERIALIA (2014)

Review Microbiology

Semi-synthetic artemisinin: a model for the use of synthetic biology in pharmaceutical development

Chris J. Paddon et al.

NATURE REVIEWS MICROBIOLOGY (2014)

Review Multidisciplinary Sciences

The new frontier of genome engineering with CRISPR-Cas9

Jennifer A. Doudna et al.

SCIENCE (2014)

Article Mathematical & Computational Biology

COBRApy: COnstraints-Based Reconstruction and Analysis for Python

Ali Ebrahim et al.

BMC SYSTEMS BIOLOGY (2013)

Letter Biotechnology & Applied Microbiology

Synthetic biology: from hype to impact

Timothy S. Gardner

TRENDS IN BIOTECHNOLOGY (2013)

Review Biochemistry & Molecular Biology

DNA synthesis, assembly and applications in synthetic biology

Siying Ma et al.

CURRENT OPINION IN CHEMICAL BIOLOGY (2012)

Review Multidisciplinary Sciences

Microbial engineering for the production of advanced biofuels

Pamela P. Peralta-Yahya et al.

NATURE (2012)

Review Microbiology

Constraining the metabolic genotype-phenotype relationship using a phylogeny of in silico methods

Nathan E. Lewis et al.

NATURE REVIEWS MICROBIOLOGY (2012)

Article Biotechnology & Applied Microbiology

Cell-free synthetic biology: Thinking outside the cell

C. Eric Hodgman et al.

METABOLIC ENGINEERING (2012)

Article Biochemistry & Molecular Biology

Design, implementation and practice of JBEI-ICE: an open source biological part registry platform and tools

Timothy S. Ham et al.

NUCLEIC ACIDS RESEARCH (2012)

Article Biotechnology & Applied Microbiology

What is flux balance analysis?

Jeffrey D. Orth et al.

NATURE BIOTECHNOLOGY (2010)

Article Biochemical Research Methods

A protocol for generating a high-quality genome-scale metabolic reconstruction

Ines Thiele et al.

NATURE PROTOCOLS (2010)

Article Multidisciplinary Sciences

Isoprenoid Pathway Optimization for Taxol Precursor Overproduction in Escherichia coli

Parayil Kumaran Ajikumar et al.

SCIENCE (2010)

Article Biotechnology & Applied Microbiology

Refinement and standardization of synthetic biological parts and devices

Barry Canton et al.

NATURE BIOTECHNOLOGY (2008)

Article Multidisciplinary Sciences

Analysis of optimality in natural and perturbed metabolic networks

D Segrè et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2002)