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Andre J. Aberer

Researcher at Heidelberg Institute for Theoretical Studies

Publications -  25
Citations -  5541

Andre J. Aberer is an academic researcher from Heidelberg Institute for Theoretical Studies. The author has contributed to research in topics: Phylogenetic tree & Phylogenomics. The author has an hindex of 18, co-authored 25 publications receiving 4741 citations. Previous affiliations of Andre J. Aberer include Exelixis & Technische Universität München.

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Phylogenomics resolves the timing and pattern of insect evolution

Bernhard Misof, +105 more
- 07 Nov 2014 - 
TL;DR: The phylogeny of all major insect lineages reveals how and when insects diversified and provides a comprehensive reliable scaffold for future comparative analyses of evolutionary innovations among insects.
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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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ExaBayes: Massively Parallel Bayesian Tree Inference for the Whole-Genome Era

TL;DR: A novel, user-friendly software package engineered for conducting state-of-the-art Bayesian tree inferences on data sets of arbitrary size is introduced and first experiences with Bayesian inferences at the whole-genome level are reported on.
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Pruning rogue taxa improves phylogenetic accuracy: an efficient algorithm and webservice.

TL;DR: An efficient graph-based algorithm for rogue taxon identification as well as an interactive webservice implementing this algorithm, which is up to 4 orders of magnitude faster, while returning qualitatively identical results.
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ExaML version 3: a tool for phylogenomic analyses on supercomputers.

TL;DR: ExaML version 3, a dedicated production-level code for inferring phylogenies on whole-transcriptome and whole-genome alignments using supercomputers is presented, with several improvements and extensions to ExaML.