grant
Computational methods for phasing biobank sequence data
Organization UNIVERSITY OF WASHINGTONLocation SEATTLE, UNITED STATESPosted 17 Sept 2025Deadline 31 Aug 2029
NIHUS FederalResearch GrantFY2025AddressAlgorithm DesignAlgorithmic DesignAlgorithmic EngineeringAlgorithmsAll of Us ProgramAll of Us Research ProgramAll of Us Research ProjectAllelesAllelomorphsAoURPChromosomesComputing MethodologiesDataData CompressionData SetDiagnosisDiseaseDisorderGene variantGenomeGenotypeHaplotypesHeadHereditaryHeritabilityHeterozygoteIndividualInheritedInterruptionInvestigatorsJavaJobsMemoryMethodsOccupationsParentsPhasePhenotypePoisoningProfessional PositionsProgramming LanguagesQuality ControlRecoveryRelaxationResearchResearch PersonnelResearchersResource SharingRunningSamplingSpeedUnited StatesVariantVariationalgorithm engineeringalgorithmic compositionallelic variantbiobankbiorepositorycompression algorithmcomputational methodologycomputational methodscomputer based methodcomputer methodscomputing methodcostdisease riskdisorder riskgenetic variantgenomic datagenomic datasetgenomic variantheterozygosityimprovedmigrationopen sourceparentpoisonedstructural mutationstructural variantstructural variationtraitvirtual machine
Description preview
Project Summary
Next-generaƟon biobanks will contain sequence data for millions of individuals. This project will develop
genotype phasing methods for these immense data sets. Genotype phasing esƟmates an individual's
haplotypes, which are the two sequences of alleles that are inherited from the parents. Genotype phasing
is necessary in order to…
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