George Stamatoyannopoulos
Biographic Data
| ID | 4389349 |
|---|---|
| NAME | George Stamatoyannopoulos |
| GIVEN NAMES | George |
| FAMILY NAME | Stamatoyannopoulos |
| SIGNATURE | STAMATOYANNOPOULOS G |
| AFFILIATIONS | University of Washington |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1984 |
| LATEST PUBLICATION YEAR | 2016 |
| H-INDEX | 1 |
The Simons Genome Diversity Project
Here we report the Simons Genome Diversity Project data set: high quality genomes from 300 individuals from 142 diverse populations. These genomes include at least 5.8 million base pairs that are not present in the human reference genome. Our analysis reveals key features of the landscape of human genome variation, including that the rate of accumulation of mutations has accelerated by about 5% in non-Africans compared to Africans since divergenc…
Estimating mutation rates using abnormal human hemoglobins
Estimates of mutation rates in human populations vary widely. Considering the numerous potential sources of error, which include illegitimacy, the existence of genocopies and/or phenocopies, variation in expressivity, and incomplete penetrance, the extent of variation among estimates is not surprising. When mutational events are defined in detail at the level of DNA sequence, one can estimate rates at which nucleotide substitutions give rise to t…
Estimating mutation rates using abnormal human hemoglobins
Estimates of mutation rates in human populations vary widely. Considering the numerous potential sources of error, which include illegitimacy, the existence of genocopies and/or phenocopies, variation in expressivity, and incomplete penetrance, the extent of variation among estimates is not surprising. When mutational events are defined in detail at the level of DNA sequence, one can estimate rates at which nucleotide substitutions give rise to t…
Estimating mutation rates using abnormal human hemoglobins
Estimates of mutation rates in human populations vary widely. Considering the numerous potential sources of error, which include illegitimacy, the existence of genocopies and/or phenocopies, variation in expressivity, and incomplete penetrance, the extent of variation among estimates is not surprising. When mutational events are defined in detail at the level of DNA sequence, one can estimate rates at which nucleotide substitutions give rise to t…
The Simons Genome Diversity Project
Here we report the Simons Genome Diversity Project data set: high quality genomes from 300 individuals from 142 diverse populations. These genomes include at least 5.8 million base pairs that are not present in the human reference genome. Our analysis reveals key features of the landscape of human genome variation, including that the rate of accumulation of mutations has accelerated by about 5% in non-Africans compared to Africans since divergenc…
Biology (2 works) · Gene (2 works) · Genetics (2 works) · 1000 Genomes Project (1 work) · Biological dispersal (1 work) · Demography (1 work) · Divergence (linguistics) (1 work) · Ecology (1 work) · Evolutionary biology (1 work) · Expressivity (1 work)