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NHGRI to Fund 1000 Genomes Project Data Analysis

NEW YORK (GenomeWeb news) – The National Human Genome Research Institute will grant up to $8 million over two years to fund research that will analyze and characterize the masses of data that will be generated under the 1000 Genomes Project.
 
The project will create up to 20 terabases of sequence data from the genomes of around 1,200 to 1,500 individuals. NHGRI said the project will be regularly releasing raw sequence data, and data derived from it, including sequence data, genotype calls for single-nucleotide polymorphisms, and structural variants.
 
The 1000 Genomes Project Dataset Analysis grants, which NHGRI announced contiguously with a set of data processing grants, will spread funding over two years to between eight and ten researchers.
 
There are now pilot projects taking place to assess the sequencing platforms and to provide the data that will be used in the full-scale 1000 Genomes Project, according to NHGRI. 
 
Researchers seeking to apply for this funding should plan to develop methods that could be used to characterize the full dataset from the program, methods to perform global analysis of the full dataset, and develop tools to allow the several types of data the program will generate to be used by researchers.
 
These studies also should develop methods needed for providing derived datasets based on the 1000 Genomes data, and to evaluate the strategies the researchers in the program used. These could include a variety of different specific types of informatics research programs designed specifically for this study.
 
Researchers could analyze genomic coverage, the frequency of variants, or haplotypes, and the potential value of combining data across samples.
 
These studies also could include developing methods that can be used to analyze special regions with sequence diversity or structural variation, analyzing imputed variants to be used in genome-wide studies, producing additional data types, comparing populations, seeking signals of natural selection, and considering how the data resource should be improved.
 
More information about these grants is available here.
 

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