A genetic method for dating ancient genomes provides a direct estimate of human generation interval in the last 45,000 years.
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Explosive genetic evidence for explosive human population growthThe Genome as an Evolutionary TimepieceGenomic insights into the peopling of the Southwest PacificFire Usage and Ancient Hominin Detoxification Genes: Protective Ancestral Variants Dominate While Additional Derived Risk Variants Appear in Modern HumansToward high-resolution population genomics using archaeological samplesEvolutionary Patterns and Processes: Lessons from Ancient DNA.Estimating the human mutation rate from autozygous segments reveals population differences in human mutational processes.Population resequencing of European mitochondrial genomes highlights sex-bias in Bronze Age demographic expansions.Direct estimate of the spontaneous germ line mutation rate in African green monkeys.Parallel palaeogenomic transects reveal complex genetic history of early European farmers.Population Turnover in Remote Oceania Shortly after Initial Settlement.Genetic Ancestry of Hadza and Sandawe Peoples Reveals Ancient Population Structure in Africa.When did Homo sapiens first reach Southeast Asia and Sahul?Whole-Genome-Sequence-Based Haplotypes Reveal Single Origin of the Sickle Allele during the Holocene Wet PhaseLanguage continuity despite population replacement in Remote Oceania
P2860
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P2860
A genetic method for dating ancient genomes provides a direct estimate of human generation interval in the last 45,000 years.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
A genetic method for dating an ...... rval in the last 45,000 years.
@en
type
label
A genetic method for dating an ...... rval in the last 45,000 years.
@en
prefLabel
A genetic method for dating an ...... rval in the last 45,000 years.
@en
P2093
P2860
P356
P1476
A genetic method for dating an ...... rval in the last 45,000 years.
@en
P2093
David Reich
Molly Przeworski
Nick Patterson
Priya Moorjani
Qiaomei Fu
Sriram Sankararaman
P2860
P304
P356
10.1073/PNAS.1514696113
P407
P577
2016-05-02T00:00:00Z