| pubmed-article:21276275 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:21276275 | lifeskim:mentions | umls-concept:C1140694 | lld:lifeskim |
| pubmed-article:21276275 | lifeskim:mentions | umls-concept:C1704565 | lld:lifeskim |
| pubmed-article:21276275 | lifeskim:mentions | umls-concept:C1710360 | lld:lifeskim |
| pubmed-article:21276275 | pubmed:dateCreated | 2011-2-28 | lld:pubmed |
| pubmed-article:21276275 | pubmed:abstractText | Recent advances in genomic sequencing have enabled the use of genome sequencing in standard biological and biotechnological research projects. The challenge is how to integrate the large amount of data in order to gain novel biological insights. One way to leverage sequence data is to use genome-scale metabolic models. We have therefore designed and implemented a bioinformatics platform which supports the development of such metabolic models. | lld:pubmed |
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| pubmed-article:21276275 | pubmed:language | eng | lld:pubmed |
| pubmed-article:21276275 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:21276275 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:21276275 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:21276275 | pubmed:issn | 1752-0509 | lld:pubmed |
| pubmed-article:21276275 | pubmed:author | pubmed-author:NielsenJensJ | lld:pubmed |
| pubmed-article:21276275 | pubmed:author | pubmed-author:TrajanoskiZla... | lld:pubmed |
| pubmed-article:21276275 | pubmed:author | pubmed-author:RaderRobertR | lld:pubmed |
| pubmed-article:21276275 | pubmed:author | pubmed-author:PabingerSteph... | lld:pubmed |
| pubmed-article:21276275 | pubmed:author | pubmed-author:AgrenRasmusR | lld:pubmed |
| pubmed-article:21276275 | pubmed:issnType | Electronic | lld:pubmed |
| pubmed-article:21276275 | pubmed:volume | 5 | lld:pubmed |
| pubmed-article:21276275 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:21276275 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:21276275 | pubmed:pagination | 20 | lld:pubmed |
| pubmed-article:21276275 | pubmed:dateRevised | 2011-7-25 | lld:pubmed |
| pubmed-article:21276275 | pubmed:meshHeading | pubmed-meshheading:21276275... | lld:pubmed |
| pubmed-article:21276275 | pubmed:meshHeading | pubmed-meshheading:21276275... | lld:pubmed |
| pubmed-article:21276275 | pubmed:meshHeading | pubmed-meshheading:21276275... | lld:pubmed |
| pubmed-article:21276275 | pubmed:meshHeading | pubmed-meshheading:21276275... | lld:pubmed |
| pubmed-article:21276275 | pubmed:meshHeading | pubmed-meshheading:21276275... | lld:pubmed |
| pubmed-article:21276275 | pubmed:year | 2011 | lld:pubmed |
| pubmed-article:21276275 | pubmed:articleTitle | MEMOSys: Bioinformatics platform for genome-scale metabolic models. | lld:pubmed |
| pubmed-article:21276275 | pubmed:affiliation | Institute for Genomics and Bioinformatics, Graz University of Technology, Petersgasse 14, 8010 Graz, Austria. | lld:pubmed |
| pubmed-article:21276275 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:21276275 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
