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David Stanković

Researcher at University of Trieste

Publications -  26
Citations -  678

David Stanković is an academic researcher from University of Trieste. The author has contributed to research in topics: Population & Biology. The author has an hindex of 14, co-authored 22 publications receiving 413 citations. Previous affiliations of David Stanković include University of Ljubljana.

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Rainbow trout in Europe: introduction, naturalization, and impacts.

TL;DR: There is no consensus on the reasons for the absence of self-sustaining populations of rainbow trout across much of Europe, but knowledge of the mechanisms involved is limited, while the data collected here shed new light on the invasion biology of the species.
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Multi-marker metabarcoding approach to study mesozooplankton at basin scale

TL;DR: DNA metabarcoding was shown to be helpful for the monitoring of non-indigenous marine metazoans and spawning areas of commercial fish species and the benefits of combining the datasets from two genetic markers.
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Environmental DNA in subterranean biology: range extension and taxonomic implications for Proteus

TL;DR: A quantitative real time polymerase chain reaction-based environmental DNA (eDNA) approach to detect the presence of Proteus using water samples collected from karst springs, wells or caves is introduced and shows that the eDNA approach is suitable and efficient in addressing questions in biogeography, evolution, taxonomy and conservation of the cryptic subterranean fauna.
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Subclinical alteration of the cervical-vaginal microbiome in women with idiopathic infertility.

TL;DR: The results suggest that the quantitative assessment and identification of specific microorganisms of the cervical–vaginal microflora could increase the accuracy of available tools for the diagnosis of infertility and improve the adoption of therapeutic protocols.
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PLANiTS: a curated sequence reference dataset for plant ITS DNA metabarcoding

TL;DR: In this paper, the authors developed a script called "better clustering for QIIME" (bc4q) to ensure that the representative sequences are chosen according to the composition of the cluster at a different taxonomic level.