Titel
A curated dataset of modern and ancient high-coverage shotgun human genomes
Autor*in
Pierpaolo Maisano Delser
Department of Zoology, University of Cambridge
Autor*in
Eppie R. Jones
Department of Zoology, University of Cambridge
Autor*in
Anahit Hovhannisyan
Institute of Molecular Biology, National Academy of Sciences, Armenia
... show all
Abstract
Over the last few years, genome-wide data for a large number of ancient human samples have been collected. Whilst datasets of captured SNPs have been collated, high coverage shotgun genomes (which are relatively few but allow certain types of analyses not possible with ascertained captured SNPs) have to be reprocessed by individual groups from raw reads. This task is computationally intensive. Here, we release a dataset including 35 whole-genome sequenced samples, previously published and distributed worldwide, together with the genetic pipeline used to process them. The dataset contains 72,041,355 sites called across 19 ancient and 16 modern individuals and includes sequence data from four previously published ancient samples which we sequenced to higher coverage (10–18x). Such a resource will allow researchers to analyse their new samples with the same genetic pipeline and directly compare them to the reference dataset without re-processing published samples. Moreover, this dataset can be easily expanded to increase the sample distribution both across time and space. Measurement(s) genome Technology Type(s) DNA sequencing Factor Type(s) modern/ancient human Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data: doi.org/10.6084/m9.figshare.14839329
Stichwort
Genetic variationPopulation genetics
Objekt-Typ
Sprache
Englisch [eng]
Persistent identifier
Erschienen in
Titel
Scientific Data
Band
8
ISSN
2052-4463
Erscheinungsdatum
2021
Publication
Springer Science and Business Media LLC
Projekt
Kod / Identifikator
649307
Projekt
Kod / Identifikator
647797
Projekt
Kod / Identifikator
263441
Erscheinungsdatum
2021
Zugänglichkeit
Rechteangabe
© The Author(s) 2021

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