BMC Evolutionary Biology

Featured blog: Let’s leverage herbaria impact through Deep Learning

Pierre Bonnet

José Carranza-Rojas, Erick Mata-Montero and Pierre Bonnet discuss their new study that uses deep learning techniques to move forward our ability to automate identification of herbarium specimens to help unlock the potential treasure-trove of data in the worlds herbaria.

Chintalapati et al.

Comparisons to the newly available Neanderthal genome provide further evidence that deletions evolve under more constraint than insertions in the modern human genome, as well as potential examples of former Neanderthal-specific traits contributing to modern human phenotypic diversity.

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Aims and scope

BMC Evolutionary Biology is an open access, peer-reviewed journal that considers articles on all aspects of molecular and non-molecular evolution of all organisms, as well as phylogenetics and palaeontology.

Editor

Alison Cuff, BioMed Central

Section Editors

Maria Anisimova, Zurich University of Applied Sciences

Michael Brockhurst, University of Sheffield

David Ferrier, University of St Andrews

Laura Kubatko, Ohio State University

David Liberles, Temple University

Craig Moritz, Australian National University

Herve Philippe, Centre for Biodiversity Theory and Modelling

Arne Traulsen, Max-Planck Institute for Evolutionary Biology

Arndt von Haeseler, Max F Perutz Laboratories

Arndt von Haeseler, Section Editor

Arndt von Haeseler is a full Professor for Bioinformatics at the University of Vienna and at the Medical University of Vienna. His work focuses on methods to understand and model evolutionary processes and to infer evolutionary relationships. He became a Section Editor in 2010.

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The editors of BMC Evolutionary Biology support initiatives that expedite the peer review process and are happy to consider manuscripts that have been reviewed in Peerage of Science. Please indicate in your cover letter if this applies to your manuscript.