LINKING DISEASE-RELATED GENE TO THE IGTC KNOCKOUT DATABASE
LINKING DISEASE-RELATED GENE TO THE IGTC KNOCKOUT DATABASE
批准号:
7723508
负责人:
THOMAS E FERRIN
金额:
$2.87万
依托单位国家:
美国
项目类别:
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-07-01 至 2009-06-30
关键词:
BiologicalComputer Retrieval of Information on Scientific Projects DatabaseDataDatabasesDiseaseFundingFutureGenesGrantHumanInstitutionInternationalInternetKnock-outLinkMeSH ThesaurusMedicalMusOntologyOrthologous GeneProcessPubMedResearchResearch PersonnelResearch Project GrantsResourcesRunningSiteSourceTerminologyUnited States National Institutes of Healthabstractingdata miningdesignembryonic stem cellinterestisoglobotriaosylceramidetool
中文摘要
这个子项目是众多研究子项目之一
英文摘要
This subproject is one of many research subprojects utilizing the
resources provided by a Center grant funded by NIH/NCRR. The subproject and
investigator (PI) may have received primary funding from another NIH source,
and thus could be represented in other CRISP entries. The institution listed is
for the Center, which is not necessarily the institution for the investigator.
As part of its annotation of genes knocked out in mouse embryonic
stem cells, BayGenomics (www.baygenomics.ucsf.edu) provides links
to medical terms with which the human orthologs of the genes are
associated. This is accomplished by using the Medical Subject
Headings (MeSH) linked with PubMed abstracts that describe the gene
in question. A tool called Meshlinker is used to browse the results
on the BayGenomics site. This functionality is in place for genes
knocked out in the BayGenomics database but has not yet been ported
to the International Gene Trap Consortium database (www.genetrap.org).
Initially, my research project is to create an implementation of
Meshlinker for the IGTC web site. This involves: designing a
modified database schema for Meshlinker to correspond with the
differences between the BayGenomics and IGTC databases, load the
data itself to allow for fully functional data mining on the IGTC
site, and integrate the loading process into the IGTC pipeline to
allow for future automated runs. Further direction will include
linking medical terminology ontologies other than MeSH to knocked-out
genes and using these linkages to ask interesting biological
questions.
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资助金额:$1.79万
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