Wright | Phylogenetics | Buch | 978-0-19-794623-7 | www.sack.de

Buch, Englisch, 176 Seiten, Print PDF, Format (B × H): 189 mm x 246 mm

Wright

Phylogenetics


Erscheinungsjahr 2026
ISBN: 978-0-19-794623-7
Verlag: Oxford University Press

Buch, Englisch, 176 Seiten, Print PDF, Format (B × H): 189 mm x 246 mm

ISBN: 978-0-19-794623-7
Verlag: Oxford University Press


Phylogenetics provides a practical introduction to phylogenetic trees, including the kinds of data and methods used to construct them, and their uses across many fields of modern biology. The text is aimed at undergraduate and postgraduate students new to the subject area.
· Oxford Biology Primers are the only resource to introduce prospective and current students of undergraduate-level bioscience to a range of topics from this dynamic experimental science, enticing readers to study further
· Its titles directly support two key transitions in the student journey: from school to undergraduate-level study, and from undergraduate to independent researcher
· Its modular format offers a high degree of flexibility, with teachers being able to draw on specific volumes that augment the post-16 curriculum, university lecturers being able to draw on specific volumes at different stages of the undergraduate curriculum

· All titles in the series are available for students and institutions to purchase in a variety of formats: the e-book and Science Trove offer a mobile experience and convenient access along with functionality tools, navigation features, and links that offer extra learning support. For more information about e-books, please visit www.oxfordtextbooks.co.uk/ebooks

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Autoren/Hrsg.


Weitere Infos & Material


- 1: Introduction to Phylogenetics

- 2: Introduction to the Use of Phylogenetic Trees

- 3: Introduction to Model-Based Phylogenetics

- 4: Introduction to Bayesian Phylogenetics

- 5: Divergence Time Estimation

- 6: Open Source Phylogenetics


April Wright is an assistant professor in the Department of Biological Sciences at Southeastern Louisiana University. She is predominantly interested in incorporating fossils into phylogenetic inference. She is also deeply involved with a number of educational projects aimed at helping students learn biology through writing code in R or Python.



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