Source:http://linkedlifedata.com/resource/pubmed/id/21124728
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
10
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pubmed:dateCreated |
2010-12-2
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pubmed:abstractText |
Leptospirosis is one of the most widespread zoonoses in the world and with over 260 pathogenic serovars there is an urgent need for a molecular system of classification. The development of multilocus sequence typing (MLST) schemes for Leptospira spp. is addressing this issue. The aim of this study was to identify loci with potential to enhance Leptospira strain discrimination by sequencing-based methods.
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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:issn |
1932-6203
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pubmed:author | |
pubmed:issnType |
Electronic
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pubmed:volume |
5
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
e15335
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pubmed:meshHeading | |
pubmed:year |
2010
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pubmed:articleTitle |
Bioinformatics describes novel Loci for high resolution discrimination of leptospira isolates.
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pubmed:affiliation |
Centro de Biotecnologia, Instituto Butantan, São Paulo, Brazil. cerqueiragm@yahoo.com.br
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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