Xuhua Xia
Mathematical Primer of Molecular Phylogenetics
Mathematical Primer of Molecular Phylogenetics
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A Mathematical Primer of Molecular Phylogenetics provides a comprehensive mathematical foundation for understanding molecular phylogenetics, with detailed numerical illustrations to make complex concepts accessible to a wide range of readers. It is particularly useful for biology students, researchers, and software developers.
Format: Paperback / softback
Length: 366 pages
Publication date: 31 March 2021
Publisher: Apple Academic Press Inc.
This comprehensive volume, A Mathematical Primer of Molecular Phylogenetics, presents a unique perspective on a range of phylogenetic issues that have received limited coverage in previous publications. It serves as an invaluable resource for young mathematicians, computational scientists, and mathematically inclined biology students seeking to delve into the rapidly evolving field of molecular phylogenetics. The book provides a solid mathematical foundation, enabling these individuals to smoothly transition into this interdisciplinary domain. Furthermore, it offers in-depth explanations that will assist researchers in phylogenetics in understanding the functionalities of existing software packages commonly employed in this field.
To enhance accessibility, the volume employs comprehensive but detailed numerical illustrations, making complex mathematical and computational concepts in molecular phylogenetics approachable to readers with diverse academic backgrounds. Each chapter concludes with examples of solved problems, proving particularly valuable for fourth-year undergraduates, postgraduates, and postdoctoral students in biology, mathematics, and computer sciences. Researchers in molecular biology and evolution will also find this text immensely informative.
In summary, A Mathematical Primer of Molecular Phylogenetics is a must-read for anyone interested in advancing their understanding of phylogenetic relationships and the evolution of biological organisms. Its comprehensive coverage, mathematical insights, and practical examples make it an invaluable resource for students, researchers, and practitioners alike.
Weight: 596g
Dimension: 151 x 228 x 23 (mm)
ISBN-13: 9781774630068
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