COMPARISON SOFTWARE TO ASSESS NGS ACCURACY & BOOST TRANSLATIONAL RESEARCH
COMPARISON SOFTWARE TO ASSESS NGS ACCURACY & BOOST TRANSLATIONAL RESEARCH
批准号:
10081512
负责人:
Xing Xu
金额:
$25.17万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-07-01 至 2021-06-30
关键词:
Academic Medical CentersAddressAdoptionBenchmarkingBioinformaticsBiologicalBiological AssayCancer DiagnosticsClinical ResearchClinical TrialsComplexComputer softwareCopy Number PolymorphismDataData SetDetectionDiagnosticGenerationsGeneticGenomicsGoalsHealthIndividualInformaticsIntelligenceManualsMethodsMonitorMutationOncologyOnline SystemsOutputPatient RightsPatientsPharmacologic SubstancePhasePublicationsReportingReproducibilityResearchRight to TreatmentsRoleScientistSmall Business Innovation Research GrantSourceStructureTechnologyTestingTimeTissuesTranslational ResearchTumor-DerivedVariantVendorVisualizationactionable mutationapplication programming interfacebasebiomarker developmentclinical carecloud basedcommercial applicationcompanion diagnosticsdata formatdesignexperienceflexibilitygenomic biomarkergigabytegraphical user interfaceimprovedinsightliquid biopsymultimodal datamultiple omicsmutation assaynext generation sequencingopen sourceprecision medicineprecision oncologyresearch and developmentscreeningsoftware systemsstatisticstargeted treatmenttechnological innovationtooltumor DNAvirtual
中文摘要
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英文摘要
Project Summary
SolveBio is a cloud-based data platform for biopharma clinical and translational research. The
goal of this project is to implement a graphical user interface-based comparison software suite
to flexibly compare next generation sequencing (NGS) results for patients across replicates,
assays, commercial vendors, biospecimens, and timepoints, with an initial application in
assessing liquid biopsy accuracy. Liquid biopsy is an emerging non-invasive method for
screening and monitoring actionable mutations but technological and biological hurdles remain.
Comparing and evaluating NGS data generated by different assays is difficult to impossible for
most individual scientists. Solving this challenge has the potential to catalyze progress in the
adoption of precision oncology and facilitate the broader application of next-generation
sequencing technologies to provide more efficient clinical care to patients.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
The Variant Explorer: a cloud-based data integration and visualization system for improving clinical interpretation of sequenced genetic variants.
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批准号:9045271
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项目类别:
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资助金额:$22.32万
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财政年份:2016
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负责人:Xing Xu
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依托单位:
海外基金