pubmed-article:17517127 | rdf:type | pubmed:Citation | lld:pubmed |
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pubmed-article:17517127 | lifeskim:mentions | umls-concept:C0162740 | lld:lifeskim |
pubmed-article:17517127 | lifeskim:mentions | umls-concept:C0026336 | lld:lifeskim |
pubmed-article:17517127 | lifeskim:mentions | umls-concept:C0035687 | lld:lifeskim |
pubmed-article:17517127 | lifeskim:mentions | umls-concept:C1514562 | lld:lifeskim |
pubmed-article:17517127 | lifeskim:mentions | umls-concept:C0086222 | lld:lifeskim |
pubmed-article:17517127 | lifeskim:mentions | umls-concept:C1516769 | lld:lifeskim |
pubmed-article:17517127 | lifeskim:mentions | umls-concept:C0038951 | lld:lifeskim |
pubmed-article:17517127 | lifeskim:mentions | umls-concept:C1880157 | lld:lifeskim |
pubmed-article:17517127 | lifeskim:mentions | umls-concept:C1705733 | lld:lifeskim |
pubmed-article:17517127 | pubmed:dateCreated | 2007-6-7 | lld:pubmed |
pubmed-article:17517127 | pubmed:abstractText | Algorithmic approaches to splice site prediction have relied mainly on the consensus patterns found at the boundaries between protein coding and non-coding regions. However exonic splicing enhancers have been shown to enhance the utilization of nearby splice sites. | lld:pubmed |
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pubmed-article:17517127 | pubmed:language | eng | lld:pubmed |
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pubmed-article:17517127 | pubmed:citationSubset | IM | lld:pubmed |
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pubmed-article:17517127 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:17517127 | pubmed:issn | 1471-2105 | lld:pubmed |
pubmed-article:17517127 | pubmed:author | pubmed-author:PerteaMihaela... | lld:pubmed |
pubmed-article:17517127 | pubmed:author | pubmed-author:SalzbergSteve... | lld:pubmed |
pubmed-article:17517127 | pubmed:author | pubmed-author:MountStephen... | lld:pubmed |
pubmed-article:17517127 | pubmed:issnType | Electronic | lld:pubmed |
pubmed-article:17517127 | pubmed:volume | 8 | lld:pubmed |
pubmed-article:17517127 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:17517127 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:17517127 | pubmed:pagination | 159 | lld:pubmed |
pubmed-article:17517127 | pubmed:dateRevised | 2011-8-1 | lld:pubmed |
pubmed-article:17517127 | pubmed:meshHeading | pubmed-meshheading:17517127... | lld:pubmed |
pubmed-article:17517127 | pubmed:meshHeading | pubmed-meshheading:17517127... | lld:pubmed |
pubmed-article:17517127 | pubmed:meshHeading | pubmed-meshheading:17517127... | lld:pubmed |
pubmed-article:17517127 | pubmed:meshHeading | pubmed-meshheading:17517127... | lld:pubmed |
pubmed-article:17517127 | pubmed:meshHeading | pubmed-meshheading:17517127... | lld:pubmed |
pubmed-article:17517127 | pubmed:meshHeading | pubmed-meshheading:17517127... | lld:pubmed |
pubmed-article:17517127 | pubmed:meshHeading | pubmed-meshheading:17517127... | lld:pubmed |
pubmed-article:17517127 | pubmed:year | 2007 | lld:pubmed |
pubmed-article:17517127 | pubmed:articleTitle | A computational survey of candidate exonic splicing enhancer motifs in the model plant Arabidopsis thaliana. | lld:pubmed |
pubmed-article:17517127 | pubmed:affiliation | Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20742, USA. mpertea@umiacs.umd.edu | lld:pubmed |
pubmed-article:17517127 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:17517127 | pubmed:publicationType | Comparative Study | lld:pubmed |
pubmed-article:17517127 | pubmed:publicationType | Research Support, U.S. Gov't, Non-P.H.S. | lld:pubmed |
pubmed-article:17517127 | pubmed:publicationType | Research Support, N.I.H., Extramural | lld:pubmed |
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