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Evolutionary studies

Guest Editors:
Jijun Tang: University of South Carolina, USA
Shibiao Wan: Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, USA


BMC Bioinformatics was calling for submissions to our Collection on evolutionary studies.

Evolutionary biology studies evolutionary processes and diversification. It commonly employs sequence analysis, of both genomic data and protein sequences, and phylogenetic models to study evolutionary patterns, genetic architecture, the evolution of adaptive traits and biodiversity.

Meet the Guest Editors

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Jijun Tang: University of South Carolina, USA

Dr Jijun Tang received the PhD degree from the University of New Mexico in 2004. He is currently a professor in the Department of Computer Science and Engineering, University of South Carolina. His main research interests include computational biology and high-performance algorithm, with a focus on algorithm and method development in phylogenetic reconstruction from genome rearrangement data, system biology, proteomics and three-dimensional genomics.

Shibiao Wan: Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, USA

Dr Shibiao Wan is an Assistant Professor and the Assistant Director for Bioinformatics and Systems Biology Core at University of Nebraska Medical Center (UNMC), with more than 12 years of experience in bioinformatics and machine learning. Dr Wan is an editorial board member for a series of prestigious journals including Briefings in Functional Genomics, and BMC Bioinformatics. He is a TPC member for >20 machine learning related international conferences including IEEE ICTAI and IEEE IAICT, and an Outstanding Young Alumni Awardee in 2022. Dr Wan is an IEEE Senior Member.

About the collection

BMC Bioinformatics is calling for submissions to our Collection on evolutionary studies.

Evolutionary biology studies evolutionary processes and diversification. It commonly employs sequence analysis, of both genomic data and protein sequences, and phylogenetic models to study evolutionary patterns, genetic architecture, the evolution of adaptive traits and biodiversity.

This Collection calls for (but is not limited to) papers on new software, algorithms and computational data processing for the analysis of evolutionary genetics and genomics, molecular evolution, protein sequence evolution and phylogenetics.

Image credit: andrejabali/Fotolia

  1. Genomes are inherently inhomogeneous, with features such as base composition, recombination, gene density, and gene expression varying along chromosomes. Evolutionary, biological, and biomedical analyses aim t...

    Authors: Claus Vogl, Mariia Karapetiants, Burçin Yıldırım, Hrönn Kjartansdóttir, Carolin Kosiol, Juraj Bergman, Michal Majka and Lynette Caitlin Mikula
    Citation: BMC Bioinformatics 2024 25:151
  2. To explore the evolutionary history of sequences, a sequence alignment is a first and necessary step, and its quality is crucial. In the context of the study of the proximal origins of SARS-CoV-2 coronavirus, ...

    Authors: Jean-Noël Lorenzi, François Graner, Virginie Courtier-Orgogozo and Guillaume Achaz
    Citation: BMC Bioinformatics 2024 25:89

Submission Guidelines

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This Collection welcomes submission of original Research 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 ["evolutionary studies"] 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.