Population Genetics With R - An Introduction for Life Scientists

This book focuses on applying the hugely popular R software specifically to the field, offering an accessible, step-by-step guide to tackling the challenges of achieving effective data interpretation and summary.

Sommario

• 1: Learning Through Programming


• 2: Downloading and Installing R


• 3: Basic Commands in R


• 4: Allele and Genotype Frequencies


• 5: Statistical Tests and Algorithms


• 6: Genetic Variation


• 7: Adaptation and Natural Selection


• 8: Population Differences


• 9: Pointing the Way to Additional Topics

Info autore

Áki Jarl Láruson is a Postdoctoral Associate at Department of Natural Resources, Cornell University, USA. His original research focus was marine invertebrate zoology, but in an effort to understand the analytical approaches necessary for marine biology work, he has found himself more and more focused on molecular evolution theory and analysis.

Floyd Allan Reed is Associate Professor at the Department of Biology, University of Hawaii at Manoa, USA, where he teaches upper division undergraduate genetics, and graduate level population genetics courses. His research interests include aspects of human evolution and engineering safe and reversible gene drive systems for vector transmitted disease eradication.

Riassunto

This book focuses on applying the hugely popular R software specifically to the field, offering an accessible, step-by-step guide to tackling the challenges of achieving effective data interpretation and summary.

Dettagli sul prodotto

• Autori: Aki Jarl (Postdoctoral Researcher Laruson, Áki Jarl Láruson, Floyd Allan Reed, Floyd Allan (Associate Professor Reed
• Editore: Oxford University Press
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 28.02.2021
• EAN: 9780198829546
• ISBN: 978-0-19-882954-6
• Pagine: 224
• Categorie: Guide e manuali; Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Linguaggi di programmazione; Evolution, SCIENCE / Life Sciences / Evolution, MATHEMATICS / Applied, SCIENCE / Life Sciences / Molecular Biology, SCIENCE / Life Sciences / Genetics & Genomics, molecular biology, Biology, life sciences, Mathematical modelling, Computer modelling & simulation, Genetics (non-medical), SCIENCE / Bioinformatics, Computational biology / bioinformatics, Evolution / Evolutionary biology