Aims and scope

BMC Bioinformatics is an open access, peer-reviewed journal that considers articles describing novel computational algorithms and software, models and tools, including statistical methods, machine learning and artificial intelligence, as well as systems biology.

BMC Bioinformatics does not make editorial decisions on the basis of the interest of a study or its likely impact. Studies must be scientifically valid; for research articles this includes a scientifically sound research question, the use of suitable methods and analysis, and following community-agreed standards relevant to the research field.

Special Issue on Eukaryotic phylogenetics
Día de Entrega: 2025-04-16

Guest Editors

Jijun Tang, PhD, Shenzhen University of Advanced Technology, China
Dapeng Wang, PhD, Imperial College London, UK

BMC Bioinformatics is welcoming submissions to our Collection on Eukaryotic phylogenetics.
 
Eukaryotic phylogenetics explores the evolutionary relationships between and diversification of eukaryotic organisms based on morphological data and molecular sequence data, providing insights into their genetic diversity and evolutionary history. Computational approaches have been widely used in the phylogenetics field, proving especially useful in this era of omics and increasingly large datasets.
 
This Collection welcomes submission on computational and statistical methods for the study of eukaryotic phylogenetics, including both alignment-based and alignment-free approaches, new databases and visualisation tools for eukaryotic phylogenetic trees. Computational and statistical approaches for the integration, automation and standardization of large-scale phylogenetic and phylogenomic analysis are also welcome.