The overall goal is to develop an intellectual framework for illuminating the path from genotype to phenotype, and for predicting the latter from the former. Three broad questions related to this problem: 1) How to infer mechanisms by which genetic variation leads to changes in phenotype? 2) How to improve the design, understanding and interpretation of association studies by exploiting prior information? 3) How to identify general principles about the genotype-phenotype map? These questions will be addressed through a series of interrelated projects that combine computational and experimental methods, explored in Drosophila, and involve a wide range of researchers including molecular biologists, population geneticists, genetic epidemiologists, statisticians, computer scientists, and mathematicians.
Project Data:
| Resource Name | Number
of Links |
|---|
| Sequence data |
| SRA Experiments | 1088 |
| Publications |
| PubMed | 8 |
| PMC | 7 |
| Other datasets |
| BioSample | 520 |
This project encompasses the following 3 sub-projects:
| Project Type | Number of Projects |
Genome sequencingHighest level of assembly : SRA or Trace |
2
|
BioProject
accession | Assembly
level | Organism | Title |
|---|
| PRJNA74721 | SRA or Trace | Drosophila melanogaster | Whole-genome sequencing of two North American Drosophila melanogaster populations reveals genetic differentiation and positive selection (University of Southern California) | | PRJNA274815 | SRA or Trace | Drosophila melanogaster | Population genomic analysis uncovers African and European admixture in Drosophila melanogaster populations from the southeastern United States and Caribbean Islands (University of Southern California) |
|
| transcriptome | 1 |
BioProject
accession | Organism | Title |
|---|
| PRJNA281652 | Drosophila melanogaster | Genetic variation in mating-induced transcriptional responses in wild-type-derived strains of Drosophila melanogaster (University of Southern California) |
|