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The Advanced Bioinformatics Core will analyze and integrate data from multiple sources, e.g., affinity purification followed by mass spectrometry (AP-MS), chromatin immunoprecipitation followed by DNA sequencing (ChlP-Seq), gene expression by RNA-Seq and other methods to identify biologically relevant cellular pathways and processes in cardiac differentiation. It will make use of novel programs such as MiST for AP-MS data and other algorithms developed by the Gladstone Bioinformatics Core to accurately analyze ChlP-Seq and RNA-Seq data. This core will leverage the expertise in the existing Gladstone Bioinformatics Core but focus on protein-protein interaction data and its integration with other gene regulatory datasets to establish combinatorial interactions that control gene expression during cardiac differentiation.
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Discovering human divergent activity-regulated elements using comparative, computational, and functional approaches
Linking microbiome genetic variants with cardiovascular phenotypes in 50,000 individuals
  • 批准号:
    10516693
  • 项目类别:
  • 资助金额:
    $70.73万
  • 财政年份:
    2022
  • 负责人:
    KATHERINE S. POLLARD
  • 依托单位:
Linking microbiome genetic variants with cardiovascular phenotypes in 50,000 individuals
  • 批准号:
    10672312
  • 项目类别:
  • 资助金额:
    $68.5万
  • 财政年份:
    2022
  • 负责人:
    KATHERINE S. POLLARD
  • 依托单位:
Core B: Integrative Data-Science Core
  • 批准号:
    10670335
  • 项目类别:
  • 资助金额:
    $63.77万
  • 财政年份:
    2021
  • 负责人:
    KATHERINE S. POLLARD
  • 依托单位:
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