Advances in Computational Methods for Molecular Evolution and Phylogenetics
A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Evolutionary Biology".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 161
Special Issue Editor
Interests: evolutionary genetics; molecular phylogenetics; molecular and genome evolution; mathematical modeling; bioinformatics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue showcases cutting-edge research at the intersection of molecular evolution and phylogenetics, computational biology, and large-scale data analysis. The rapid advancement of high-throughput sequencing technology has generated unprecedented volumes of molecular sequence data, creating both opportunities and challenges for evolutionary inference. The contributions in this issue highlight innovative methodologies designed to extract biological insights from these expanding datasets. Topics include new frameworks for inferring molecular phylogenetic trees that offer improved accuracy, scalability, and robustness in reconstructing evolutionary relationships; methods for estimating the divergence times of genes and genomes by integrating genomic information with statistical and computational models to refine our understanding of evolutionary timelines; and techniques for detecting natural selection on genes and genomes to gain deeper insight into the forces shaping genetic diversity within and across species. Furthermore, the scope extends to predicting genes that cause biological functions, including disease-causing genes, from an evolutionary standpoint. This demonstrates how evolutionary signals can inform biomedical discovery. Together, these topics illustrate the rapidly evolving landscape of computational molecular evolution and phylogenetics, underscoring the importance of methodological innovation in transforming large-scale sequence data into meaningful evolutionary, biological, and biomedical knowledge.
Prof. Dr. Koichiro Tamura
Guest Editor
Manuscript Submission Information
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Keywords
- molecular evolution
- phylogenetics
- computational biology
- phylogenetic inference
- natural selection
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