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.
This Collection welcomes submission on computational and statistical methods for the study of eukaryotic phylogenetics. Submissions on eukaryotic phylogenomics are also welcome.
Jijun Tang, PhD, Shenzhen University of Advanced Technology, China
Jijun Tang is a Professor in Shenzhen University of Advanced Technology, Shenzhen, China. Before that, he was a professor in University of South Carolina. His main research areas include algorithm development and machine learning, with focus on bioinformatics, computational biology, medical informatics, cancer evolution and comparative genomics, as well as social science. His research was supported by NSF, NIH and Chinese Natural Science Foundation. In the past years, he has published more than 200 articles and has won awards from Tianjin and China’s highest award for AI science and technology.
Dapeng Wang, PhD, Imperial College London, UKDapeng Wang is a Research Fellow at the National Heart and Lung Institute at the Imperial College London. He obtained a PhD degree in Bioinformatics from the University of Chinese Academy of Sciences. Over the past years, he has been working in the research area of genomics, bioinformatics and computational biology in a variety of institutions including Beijing Institute of Genomics of Chinese Academy of Sciences, Cancer Institute at the University College London, Department of Plant Sciences at the University of Oxford, LeedsOmics at the University of Leeds and Wellcome Centre for Human Genetics at the University of Oxford. His research interests encompass the integration of multi-omics data for studying both common and rare human diseases, as well as evolutionary biology. Additionally, he is interested in the complexity of eukaryotic genomes, including their genomic composition, introns, gene orders, and repetitive sequences. He is also dedicated to developing bioinformatic tools and databases to support these research areas.
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.
Image credit: © Dr_Microbe / stock.adobe.com
There are currently no articles in this collection.
This Collection welcomes submission of original research, software and database articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. Articles for this Collection should be submitted via our submission system, Snapp. During the submission process you will be asked whether you are submitting to a Collection, please select "Eukaryotic phylogenetics" from the dropdown menu.
Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.
The Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.