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Bent O. Petersen

Researcher at University of Copenhagen

Publications -  243
Citations -  13961

Bent O. Petersen is an academic researcher from University of Copenhagen. The author has contributed to research in topics: Genome & Gene. The author has an hindex of 52, co-authored 229 publications receiving 11489 citations. Previous affiliations of Bent O. Petersen include Aarhus University & University of Copenhagen Faculty of Life Sciences.

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Whole-genome analyses resolve early branches in the tree of life of modern birds

Erich D. Jarvis, +116 more
- 12 Dec 2014 - 
TL;DR: A genome-scale phylogenetic analysis of 48 species representing all orders of Neoaves recovered a highly resolved tree that confirms previously controversial sister or close relationships and identifies the first divergence in Neoaves, two groups the authors named Passerea and Columbea.
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The Selaginella genome identifies genetic changes associated with the evolution of vascular plants.

Jo Ann Banks, +118 more
- 20 May 2011 - 
TL;DR: The genome sequence of the lycophyte Selaginella moellendorffii (Selaginella), the first nonseed vascular plant genome reported, is reported, finding that the transition from a gametophytes- to a sporophyte-dominated life cycle required far fewer new genes than the Transition from a non Seed vascular to a flowering plant.
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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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A generic method for assignment of reliability scores applied to solvent accessibility predictions

TL;DR: This work has implemented a method that predicts the relative surface accessibility of an amino acid and simultaneously predicts the reliability for each prediction, in the form of a Z-score, which is comparable to the performance of the currently best public available method, Real-SPINE.