Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Pertoldi, Cino

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2024Testing the Impact of Robotic Lawn Mowers on European Hedgehogs ( Erinaceus europaeus) and Designing a Safety Test.2citations
  • 2024The impact of zoo visitors on the behaviour of black lemurs (Eulemur macaco) and ring-tailed lemurs (Lemur catta) assessed with artificial intelligencecitations
  • 2013<em>De novo</em> SNP calling from RAD sequences for a mink (<em>Neovison vison</em>) specific genotyping assaycitations

Places of action

Chart of shared publication
Alstrup, Aage Kristian Olsen
2 / 3 shared
Rasmussen, Sophie Lund
1 / 1 shared
Schrøder, Bettina Thuland
1 / 1 shared
Macdonald, David W.
1 / 1 shared
Sollmann, Rahel
1 / 1 shared
Berger, Anne
1 / 2 shared
Ishøj, Matilde
1 / 1 shared
Overgaard, Clara
1 / 1 shared
Thaarup, Sarah Risager
1 / 1 shared
Jensen, Trine Hammer
1 / 1 shared
Andersen, Sebastian Vadskær
1 / 1 shared
Bakke, Inge Kathrine
1 / 1 shared
Thirstrup, Janne Pia
1 / 1 shared
Nielsen, Rasmus Ory
1 / 1 shared
Jensen, Just
1 / 1 shared
Larsen, Peter F.
1 / 1 shared
Pujolar, José Martin
1 / 1 shared
Chart of publication period
2024
2013

Co-Authors (by relevance)

  • Alstrup, Aage Kristian Olsen
  • Rasmussen, Sophie Lund
  • Schrøder, Bettina Thuland
  • Macdonald, David W.
  • Sollmann, Rahel
  • Berger, Anne
  • Ishøj, Matilde
  • Overgaard, Clara
  • Thaarup, Sarah Risager
  • Jensen, Trine Hammer
  • Andersen, Sebastian Vadskær
  • Bakke, Inge Kathrine
  • Thirstrup, Janne Pia
  • Nielsen, Rasmus Ory
  • Jensen, Just
  • Larsen, Peter F.
  • Pujolar, José Martin
OrganizationsLocationPeople

document

<em>De novo</em> SNP calling from RAD sequences for a mink (<em>Neovison vison</em>) specific genotyping assay

  • Pertoldi, Cino
  • Thirstrup, Janne Pia
  • Nielsen, Rasmus Ory
  • Jensen, Just
  • Larsen, Peter F.
  • Pujolar, José Martin
Abstract

The genetic marker of choice in mink has until now been microsatellites, but recently has single nucleotide polymorphism (SNP) been used more and more in other species. In several species, SNP panels have been established through SNP chips. However, generations of such chips are expensive and require a large market to cover the cost. New technologies based on next generation sequencing (NGS) have made it possible to identify thousands of SNPs using a cost effective and fast method. The method can be used for non-model organisms in conservation biology and for production species with small population sizes. <br/>The aim of this study was to create a mink specific SNP panel well suited for population genetic studies, parental testing and forensic investigations. <br/>A SNP panel specific for American mink (Neovison vison) has been generated from Restriction site-Associated DNA (RAD) sequencing. Fourteen mink from Brown andBlack color types were obtained. A mean of 49,789,860.2 (± 9,813,587.2) raw reads of high quality per sample were sequenced. SNPs were called using the software pipeline Stacks. The populations program was used to estimate population structure and genetic divergence between the two color types. 1,576,944 catalog tags were generated with a 10X minimum depth of coverage. 224,095 candidate SNPs polymorphic for the two color types were called. Using strict filtering criteria in order to increase the success of assay design a total of 1,256 SNPs were finally identified.<br/>

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