Cameo: A Python Library for Computer Aided Metabolic Engineering and Optimization of Cell Factories

Research output: Contribution to journalJournal article – Annual report year: 2018Researchpeer-review

Documents

DOI

View graph of relations

Computational systems biology methods enable rational design of cell factories on a genome-scale and thus accelerate the engineering of cells for the production of valuable chemicals and proteins. Unfortunately, for the majority of these methods' implementations are either not published, rely on proprietary software, or do not provide documented interfaces, which has precluded their mainstream adoption in the field. In this work we present cameo, a platform-independent software that enables in silico design of cell factories and targets both experienced modelers as well as users new to the field. It is written in Python and implements state-of-the-art methods for enumerating and prioritizing knock-out, knock-in, over-expression, and down-regulation strategies and combinations thereof. Cameo is an open source software project and is freely available under the Apache License 2.0. A dedicated website including documentation, examples, and installation instructions can be found at http://cameo.bio. Users can also give cameo a try at http://try.cameo.bio.
Original languageEnglish
JournalA C S Synthetic Biology
Volume7
Issue number4
Pages (from-to)1163-1166
ISSN2161-5063
DOIs
Publication statusPublished - 2018

Bibliographical note

This is an open access article published under a Creative Commons Attribution (CC-BY) License, which permits unrestricted use, distribution and reproduction in any medium,
provided the author and source are cited.

CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Metabolic engineering, Genome-scale metabolic models, Heterologous pathway predictions, Computer-aided design, Software, Python
Download as:
Download as PDF
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
PDF
Download as HTML
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
HTML
Download as Word
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
Word

Download statistics

No data available

ID: 140300984