UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Inferring human evolutionary history

Rees, Jasmin; Andrés, Aida; (2022) Inferring human evolutionary history. Science , 375 (6583) pp. 817-818. 10.1126/science.abo0498. Green open access

[thumbnail of Rees_Andres_manuscript.pdf]
Preview
Text
Rees_Andres_manuscript.pdf - Accepted Version

Download (301kB) | Preview

Abstract

Genomes are invaluable tools for inferring the demographic and adaptive history of human populations, including migrations, population splits, admixture, and genetic adaptations. Growing datasets of modern and ancient genomes make this possible, but their massive size comes with important challenges, demanding techniques that analyze immense amounts of data in reasonable amounts of time while using as much information as possible. Combining genomes from different datasets poses perhaps an even greater challenge, especially when it comes to integrating ancient and modern genomes. On page 836 of this issue, Wohns et al. (1) report surmounting some of these challenges to construct the largest human genealogy to date, integrating modern and ancient genomes from multiple datasets to infer key events in human history together with their timings and geographical locations.

Type: Article
Title: Inferring human evolutionary history
Open access status: An open access version is available from UCL Discovery
DOI: 10.1126/science.abo0498
Publisher version: https://doi.org/10.1126/science.abo0498
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Genetics, Evolution and Environment
URI: https://discovery.ucl.ac.uk/id/eprint/10159352
Downloads since deposit
117Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item