Image from Google Jackets

Human Population Genomics . Introduction to Essential Concepts and Applications / edited by Kirk E. Lohmueller, Rasmus Nielsen

Contributor(s): Lohmueller, Kirk E., editor literario | Nielsen, Rasmus., editor literario
Material type: materialTypeLabelE-bookSeries: (Biomedical and Life Sciences (SpringerNature-11642)); (Biomedical and Life Sciences (R0) (SpringerNature-43708)).Publisher: Cham : Springer International Publishing, 2021Copyright date: 2021Edition: First edition 2021.Description: 1 recurso en línea (IX, 234 páginas) : 51 ilustraciones, 20 ilustraciones a color.ISBN: 9783030616465.Subject: Genética de poblaciones humanas | GenómicaOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources Abstract: This textbook provides a concise introduction and useful overview of the field of human population genomics, making the highly technical and contemporary aspects more accessible to students and researchers from various fields. Over the past decade, there has been a deluge of genetic variation data from the entire genome of individuals from many populations. These data have allowed an unprecedented look at human history and how natural selection has impacted humans during this journey. Simultaneously, there have been increased efforts to determine how genetic variation affects complex traits in humans. Due to technological and methodological advances, progress has been made at determining the architecture of complex traits. Split in three parts, the book starts with the basics, followed by more advanced and current research. The first part provides an introduction to essential concepts in population genetics, which are relevant for any organism. The second part covers the genetics of complex traits in humans. The third part focuses on applying these techniques and concepts to genetic variation data to learn about demographic history and natural selection in humans. This new textbook aims to serve as a gateway to modern human population genetics research for those new to the field. It provides an indispensable resource for students, researchers and practitioners from disparate areas of expertise.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias Sociales GN289 2021 EB (Browse shelf(Opens below)) Acceso electrónico eBook.18122028
Total holds: 0

This textbook provides a concise introduction and useful overview of the field of human population genomics, making the highly technical and contemporary aspects more accessible to students and researchers from various fields. Over the past decade, there has been a deluge of genetic variation data from the entire genome of individuals from many populations. These data have allowed an unprecedented look at human history and how natural selection has impacted humans during this journey. Simultaneously, there have been increased efforts to determine how genetic variation affects complex traits in humans. Due to technological and methodological advances, progress has been made at determining the architecture of complex traits. Split in three parts, the book starts with the basics, followed by more advanced and current research. The first part provides an introduction to essential concepts in population genetics, which are relevant for any organism. The second part covers the genetics of complex traits in humans. The third part focuses on applying these techniques and concepts to genetic variation data to learn about demographic history and natural selection in humans. This new textbook aims to serve as a gateway to modern human population genetics research for those new to the field. It provides an indispensable resource for students, researchers and practitioners from disparate areas of expertise.

There are no comments on this title.

to post a comment.
Share