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Michael Hofreiter

Researcher at University of Potsdam

Publications -  287
Citations -  23456

Michael Hofreiter is an academic researcher from University of Potsdam. The author has contributed to research in topics: Ancient DNA & Population. The author has an hindex of 78, co-authored 271 publications receiving 20628 citations. Previous affiliations of Michael Hofreiter include University of York & National Institutes of Health.

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Journal ArticleDOI

Genetic Analyses from Ancient DNA

TL;DR: The precautions and criteria necessary to ascertain to the greatest extent possible that results represent authentic ancient DNA sequences are discussed, which highlight some significant results and areas of promising future research.
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Recalibrating Equus evolution using the genome sequence of an early Middle Pleistocene horse.

Ludovic Orlando, +58 more
- 04 Jul 2013 - 
TL;DR: Thealyses suggest that the Equus lineage giving rise to all contemporary horses, zebras and donkeys originated 4.0–4.5 million years before present, twice the conventionally accepted time to the most recent common ancestor of the genus Equus, and supports the contention that Przewalski's horses represent the last surviving wild horse population.
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DNA sequences from multiple amplifications reveal artifacts induced by cytosine deamination in ancient DNA

TL;DR: It is shown that DNA molecules amplified by PCR from DNA extracted from animal bones and teeth that vary in age between 25 000 and over 50 000 years carry C-->T and G-->A substitutions, which are due to the occurrence of modified deoxycytidine residues in the template DNA.
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Species-specific responses of Late Quaternary megafauna to climate and humans

Eline D. Lorenzen, +58 more
- 17 Nov 2011 - 
TL;DR: It is shown that climate has been a major driver of population change over the past 50,000 years, however, each species responds differently to the effects of climatic shifts, habitat redistribution and human encroachment.
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Assessing ancient DNA studies.

TL;DR: It is argued here that researchers in this field must take a more cognitive and self-critical approach, and in place of checking criteria off lists, researchers must explain, in sufficient enough detail, how the data were obtained, and why they should be believed to be authentic.