Metabolite profiling in plant biology: platforms and destinations View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2004-05

AUTHORS

Joachim Kopka, Alisdair Fernie, Wolfram Weckwerth, Yves Gibon, Mark Stitt

ABSTRACT

Optimal use of genome sequences and gene-expression resources requires powerful phenotyping platforms, including those for systematic analysis of metabolite composition. The most used technologies for metabolite profiling, including mass spectral, nuclear magnetic resonance and enzyme-based approaches, have various advantages and disadvantages, and problems can arise with reliability and the interpretation of the huge datasets produced. These techniques will be useful for answering important biological questions in the future. More... »

PAGES

109

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/gb-2004-5-6-109

DOI

http://dx.doi.org/10.1186/gb-2004-5-6-109

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1016246384

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/15186482


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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.10.1186/gb-2004-5-6-109'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/gb-2004-5-6-109'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/gb-2004-5-6-109'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/gb-2004-5-6-109'


 

This table displays all metadata directly associated to this object as RDF triples.

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