Source:http://linkedlifedata.com/resource/pubmed/id/16789884
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
1
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pubmed:dateCreated |
2006-6-22
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pubmed:abstractText |
It has been observed by conducting an extensive analysis of the two-dimensional cellular automata images of known SARS-CoV genome sequences that the V-shaped cross-lines only exist in some special locations, and hence can be used as a fingerprint to identify the SARS sequences. Such a discovery can be used to rapidly and reliably diagnose SARS coronavirus for both basic research in laboratories and practical application in clinics.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:chemical | |
pubmed:status |
MEDLINE
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pubmed:month |
Jan
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pubmed:issn |
1573-4064
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
1
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
39-47
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pubmed:dateRevised |
2008-2-26
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pubmed:meshHeading |
pubmed-meshheading:16789884-Algorithms,
pubmed-meshheading:16789884-Automatic Data Processing,
pubmed-meshheading:16789884-Genomic Library,
pubmed-meshheading:16789884-Information Storage and Retrieval,
pubmed-meshheading:16789884-Models, Theoretical,
pubmed-meshheading:16789884-Nucleotide Mapping,
pubmed-meshheading:16789884-RNA, Viral,
pubmed-meshheading:16789884-SARS Virus
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pubmed:year |
2005
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pubmed:articleTitle |
A new nucleotide-composition based fingerprint of SARS-CoV with visualization analysis.
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pubmed:affiliation |
Institute of Image Processing & Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030, China.
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pubmed:publicationType |
Journal Article
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