Reconstruction of genetic circuits View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2005-11

AUTHORS

David Sprinzak, Michael B. Elowitz

ABSTRACT

The complex genetic circuits found in cells are ordinarily studied by analysis of genetic and biochemical perturbations. The inherent modularity of biological components like genes and proteins enables a complementary approach: one can construct and analyse synthetic genetic circuits based on their natural counterparts. Such synthetic circuits can be used as simple in vivo models to explore the relation between the structure and function of a genetic circuit. Here we describe recent progress in this area of synthetic biology, highlighting newly developed genetic components and biological lessons learned from this approach. More... »

PAGES

443

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nature04335

DOI

http://dx.doi.org/10.1038/nature04335

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1048602129

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/16306982


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/nature04335'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/nature04335'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nature04335'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nature04335'


 

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