rdf:type |
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lifeskim:mentions |
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pubmed:dateCreated |
2009-10-8
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pubmed:abstractText |
The conservation of sequences between related genomes has long been recognised as an indication of functional significance and recognition of sequence homology is one of the principal approaches used in the annotation of newly sequenced genomes. In the context of recent findings that the number non-coding transcripts in higher organisms is likely to be much higher than previously imagined, discrimination between conserved coding and non-coding sequences is a topic of considerable interest. Additionally, it should be considered desirable to discriminate between coding and non-coding conserved sequences without recourse to the use of sequence similarity searches of protein databases as such approaches exclude the identification of novel conserved proteins without characterized homologs and may be influenced by the presence in databases of sequences which are erroneously annotated as coding.
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pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/19737408-10331277,
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http://linkedlifedata.com/resource/pubmed/commentcorrection/19737408-9889348
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:issn |
1471-2105
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:volume |
10
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
282
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pubmed:meshHeading |
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pubmed:year |
2009
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pubmed:articleTitle |
Accurate discrimination of conserved coding and non-coding regions through multiple indicators of evolutionary dynamics.
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pubmed:affiliation |
Dipartimento di Scienze Biomolecolari e Biotecnologie, Università degli Studi di Milano, Via Celoria 26, 20133 Milano, Italia. matteo.re@unimi.it
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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