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Animal models provide powerful experimental tools to test gene function and interrogate biological pathways. Comparative functional genomics between humans and model organisms has led to a wealth of discoveries, and it is clear that this will continue to play an important role in unlocking the potential of the genome for human health. In this post genomic era highly annotated and easily accessible data are increasingly essential for researchers to integrate vast amounts of sequence, expression and functional data into a meaningful biological synthesis. The goal of this proposal is to maintain and enhance Xenbase; the Xenopus model organism database. The African frogs Xenopus has long been one of the premiere model organisms used by cell and developmental biologists, providing numerous fundamental insights. The large and abundant Xenopus embryos enable sophisticated embryology, easy manipulation of gene expression by microinjection and biochemical analyses. Together with recent advances in genome and EST sequencing, the generation of full-length cDNA sets, microarray analysis, functional genomics screens, gene knockdown using anitsense morpholino oligos, the development of rapid transgenics and the establishment of Xenbase has made Xenopus a powerful system for functional genomics. Xenbase is a comprehensive database that provides a portal to inter-related Xenopus data including genomic, mRNA and protein sequence, gene expression, function and publications, which is all highly integrated with NCBI and other model organism databases. The goal of this proposal is to maintain and expand Xenbase. Aim 1) Maintain and further curate the data in Xenbase by implementing Testpresso data mining and manual curation. Aim 2) Enhance Xenbase functionality by introducing morpholino and mutant phenotypes. Aim 3) Support new content on Xenbase gene pages including mRNA splicing microarrays, and a Xenopus WIKI. Aim 4) Continue and expand collaborative research and service efforts by further integrating Xenbase data with NCBI and other model organism data bases. This proposal will empower Xenopus research and provide the broader scientific community a means of accessing a wealth of Xenopus data.
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Computational Support for All Echinobase Objectives
  • 批准号:
    10715582
  • 项目类别:
  • 资助金额:
    $15.79万
  • 财政年份:
    2023
  • 负责人:
    PETER D VIZE
  • 依托单位:
Software Development to Enhance Echinobase
  • 批准号:
    10715581
  • 项目类别:
  • 资助金额:
    $17.52万
  • 财政年份:
    2023
  • 负责人:
    PETER D VIZE
  • 依托单位:
Computational Support for All Echinobase Objectives
  • 批准号:
    10442597
  • 项目类别:
  • 资助金额:
    $16.77万
  • 财政年份:
    2018
  • 负责人:
    PETER D VIZE
  • 依托单位:
Computational Support for All Echinobase Objectives
  • 批准号:
    10241293
  • 项目类别:
  • 资助金额:
    $15.43万
  • 财政年份:
    2018
  • 负责人:
    PETER D VIZE
  • 依托单位:
海外基金