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François Pompanon

Researcher at University of Savoy

Publications -  85
Citations -  15277

François Pompanon is an academic researcher from University of Savoy. The author has contributed to research in topics: Population & Domestication. The author has an hindex of 42, co-authored 82 publications receiving 13199 citations. Previous affiliations of François Pompanon include Joseph Fourier University & Centre national de la recherche scientifique.

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How to track and assess genotyping errors in population genetics studies.

TL;DR: Four case studies representing a large variety of population genetics investigations differing in their sampling strategies, in the type of organism studied (plant or animal) and the molecular markers used [microsatellites or amplified fragment length polymorphisms (AFLPs), and the estimated genotyping error rate are considered.
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Species detection using environmental DNA from water samples.

TL;DR: A novel approach, based on the limited persistence of DNA in the environment, to detect the presence of a species in fresh water, using specific primers that amplify short mitochondrial DNA sequences to track the existence of a frog in controlled environments and natural wetlands.
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Towards next‐generation biodiversity assessment using DNA metabarcoding

TL;DR: The near‐term future of DNA metabarcoding has an enormous potential to boost data acquisition in biodiversity research as further developments associated with the impressive progress in DNA sequencing will eliminate the currently required DNA amplification step, and comprehensive taxonomic reference libraries can be built based on the well‐curated DNA extract collections maintained by standardized barcoding initiatives.
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Genotyping errors: causes, consequences and solutions.

TL;DR: A protocol for estimating error rates is proposed and it is recommended that these measures be systemically reported to attest the reliability of published genotyping studies.
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Who is eating what: diet assessment using next generation sequencing.

TL;DR: The power and pitfalls of NGS diet methods are reviewed, the critical factors to take into account when choosing or designing a suitable barcode are presented and the validation of data accuracy including the viability of producing quantitative data is discussed.