Accurate analysis of genome structural variation using large-scale sequence data
Accurate analysis of genome structural variation using large-scale sequence data
批准号:
8416344
负责人:
Steven Andrew McCarroll
金额:
$39.77万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-02-01 至 2015-12-31
关键词:
AdoptedAlgorithmsAwardBiomedical ResearchChromosomesComputer softwareDNA SequenceDataDiseaseGenesGenomeGenotypeGoalsIndividualLaboratoriesLarge-Scale SequencingPhenotypePilot ProjectsPopulationReadingResearchResearch SupportScientistStructureTechnologyTestingVariantWorkbiological researchdisorder riskgenome analysisgenome sequencinginnovation
中文摘要
描述(由申请人提供):该项目的目标是使每个生物和生物医学研究实验室能够使用高通量DNA序列数据轻松而准确地分析基因组结构变异。我们将进一步开发我们现有的分析软件。基因组条带(Genome Structure In Popular),使其成为任何生物医学研究实验室都可以轻易采用的强大、可靠、文档齐全、支持良好的研究软件。我们将扩大用户可以部署基因组条的研究场景集,使基因组条可以应用于几乎任何大规模的测序项目。我们将发展基因组条目前的能力,以利用正在进行的测序技术的进步,并更全面地分析每种形式的基因组结构变异。我们的目标是分发和支持研究软件,使之能够对基因组变异进行严格、高质量的分析,并为严格分析与疾病的关联提供适当的数据。
英文摘要
DESCRIPTION (provided by applicant): The goal of this project is to enable every biological and biomedical research laboratory to readily and accurately analyze genome structural variation using high-throughput DNA sequence data. We will further develop our existing analysis software. Genome STRIP (Genome STRucture in Populations), to make it into robust, reliable, well-documented, well-supported research software that any biomedical research laboratory can readily adopt. We will enlarge the set of research scenarios in which users can deploy Genome STRIP, so that Genome STRIP can be applied to almost any large-scale sequencing project. We will evolve Genome STRIP'S current capabilities to take advantage of ongoing advances in sequencing technology and to more completely analyze each form of genome structural variation. We aim to distribute and support research software that enables rigorous, high-quality analysis of genome variation and provides the appropriate data for rigorous analysis of association with disease.
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依托单位:
海外基金