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Journal article

Generation of SNP datasets for orangutan population genomics using improved reduced-representation sequencing and direct comparisons of SNP calling algorithms

Université de Fribourg

  • Greminger, Maja P Evolutionary Genetics Group, Anthropological Institute and Museum, University of Zurich, Switzerland
  • Stölting, Kai N Unit of Ecology & Evolution, Department of Biology, University of Fribourg, Switzerland
  • Nater, Alexander Evolutionary Genetics Group, Anthropological Institute and Museum, University of Zurich, Switzerland
  • Goossens, Benoit Organisms and Environment Division, School of Biosciences, Cardiff University, Cardiff, UK - Danau Girang Field Centre, c/o Sabah Wildlife Department, Kota Kinabalu, Sabah, Malaysia - Sabah Wildlife Department, Kota Kinabalu, Sabah, Malaysia
  • Arora, Natasha Evolutionary Genetics Group, Anthropological Institute and Museum, University of Zurich, Switzerland
  • Bruggmann, Rémy Functional Genomics Center, University of Zurich, Switzerland - Department of Biology, University of Berne, Switzerland
  • Patrignani, Andrea Functional Genomics Center, University of Zurich, Switzerland
  • Nussberger, Beatrice Institute of Evolutionary Biology and Environmental Studies, University of Zurich, Switzerland
  • Sharma, Reeta Population and Conservation Genetics, Instituto Gulbenkian de Ciencia, Oeiras, Portugal
  • Kraus, Robert H S Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum, Gelnhausen, Germany
  • Ambu, Laurentius N Sabah Wildlife Department, Kota Kinabalu, Sabah, Malaysia
  • Singleton, Ian Foundation for a Sustainable Ecosystem (YEL), Medan, Indonesia - PanEco, Foundation for Sustainable Development and Intercultural Exchange, Berg am Irchel, Switzerland
  • Chikhi, Lounes CNRS, Laboratoire Evolution and Diversité Biologique, Université Paul Sabatier, Toulouse, France - Université de Toulouse, France - Population and Conservation Genetics, Instituto Gulbenkian de Ciencia, Oeiras, Portugal
  • Schaik, Carel P van Evolutionary Genetics Group, Anthropological Institute and Museum, University of Zurich, Switzerland
  • Krützen, Michael Evolutionary Genetics Group, Anthropological Institute and Museum, University of Zurich, Switzerland
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    10.01.2014
Published in:
  • BMC Genomics, 2014, vol. 15, no. 1, p. 16
English Background: High-throughput sequencing has opened up exciting possibilities in population and conservation genetics by enabling the assessment of genetic variation at genome-wide scales. One approach to reduce genome complexity, i.e. investigating only parts of the genome, is reduced-representation library (RRL) sequencing. Like similar approaches, RRL sequencing reduces ascertainment bias due... Show more…
Language
  • English
Identifiers
Classification
Biology
Faculty
Faculté des sciences
Department
Biologie
License
License undefined
Persistent URL
https://folia.unifr.ch/global/documents/303347