| pubmed-article:16159915 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:16159915 | lifeskim:mentions | umls-concept:C0682085 | lld:lifeskim |
| pubmed-article:16159915 | lifeskim:mentions | umls-concept:C0185115 | lld:lifeskim |
| pubmed-article:16159915 | lifeskim:mentions | umls-concept:C0439064 | lld:lifeskim |
| pubmed-article:16159915 | lifeskim:mentions | umls-concept:C0449851 | lld:lifeskim |
| pubmed-article:16159915 | lifeskim:mentions | umls-concept:C0876929 | lld:lifeskim |
| pubmed-article:16159915 | pubmed:issue | 22 | lld:pubmed |
| pubmed-article:16159915 | pubmed:dateCreated | 2005-11-4 | lld:pubmed |
| pubmed-article:16159915 | pubmed:abstractText | SUMMARY: METIS is a web-based integrated annotation tool. From single query sequences, the PRECIS component allows users to generate structured protein family reports from sets of related Swiss-Prot entries. These reports may then be augmented with pertinent sentences extracted from online biomedical literature via support vector machine and rule-based sentence classification systems. AVAILABILITY: http://umber.sbs.man.ac.uk/dbbrowser/metis/ | lld:pubmed |
| pubmed-article:16159915 | pubmed:language | eng | lld:pubmed |
| pubmed-article:16159915 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:16159915 | pubmed:citationSubset | IM | lld:pubmed |
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| pubmed-article:16159915 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:16159915 | pubmed:month | Nov | lld:pubmed |
| pubmed-article:16159915 | pubmed:issn | 1367-4803 | lld:pubmed |
| pubmed-article:16159915 | pubmed:author | pubmed-author:DivoliAA | lld:pubmed |
| pubmed-article:16159915 | pubmed:author | pubmed-author:AttwoodT KTK | lld:pubmed |
| pubmed-article:16159915 | pubmed:author | pubmed-author:MitchellA LAL | lld:pubmed |
| pubmed-article:16159915 | pubmed:author | pubmed-author:HilarioMM | lld:pubmed |
| pubmed-article:16159915 | pubmed:author | pubmed-author:KimJ-HJH | lld:pubmed |
| pubmed-article:16159915 | pubmed:author | pubmed-author:SelimasII | lld:pubmed |
| pubmed-article:16159915 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:16159915 | pubmed:day | 15 | lld:pubmed |
| pubmed-article:16159915 | pubmed:volume | 21 | lld:pubmed |
| pubmed-article:16159915 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:16159915 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:16159915 | pubmed:pagination | 4196-7 | lld:pubmed |
| pubmed-article:16159915 | pubmed:dateRevised | 2006-11-15 | lld:pubmed |
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| pubmed-article:16159915 | pubmed:year | 2005 | lld:pubmed |
| pubmed-article:16159915 | pubmed:articleTitle | METIS: multiple extraction techniques for informative sentences. | lld:pubmed |
| pubmed-article:16159915 | pubmed:affiliation | Faculty of Life Sciences and School of Computer Science, University of Manchester, UK. mitchell@ebi.ac.uk | lld:pubmed |
| pubmed-article:16159915 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:16159915 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
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