A clustering optimization strategy to estimate species richness of Sebacinales in the tropical Andes based on molecular sequences from distinct DNA regions

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dc.contributor.author Garnica, Sigisfredo de_DE
dc.date.accessioned 2014-03-21T07:36:28Z
dc.date.available 2014-03-21T07:36:28Z
dc.date.issued 2012 de_DE
dc.identifier.issn 0960-3115 de_DE
dc.identifier.uri http://hdl.handle.net/10900/50371
dc.language.iso en en
dc.publisher Springer de_DE
dc.relation.uri http://dx.doi.org/10.1007/s10531-011-0205-y de_DE
dc.rights info:eu-repo/semantics/closedAccess
dc.subject.ddc 570 de_DE
dc.title A clustering optimization strategy to estimate species richness of Sebacinales in the tropical Andes based on molecular sequences from distinct DNA regions de_DE
dc.type Artikel de_DE
utue.quellen.id 20140226071329_01551 de_DE
utue.publikation.seiten 2269-2285 de_DE
utue.personen.roh Setaro, Sabrina D. de_DE
utue.personen.roh Garnica, Sigisfredo de_DE
utue.personen.roh Herrera, Paulo I. de_DE
utue.personen.roh Suarez, Juan Pablo de_DE
utue.personen.roh Goeker, Markus de_DE
dcterms.isPartOf.ZSTitelID Biodiversity and Conservation de_DE
dcterms.isPartOf.ZS-Issue SI de_DE
dcterms.isPartOf.ZS-Volume 21 de_DE
utue.fakultaet 07 Mathematisch-Naturwissenschaftliche Fakultät de_DE


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