SUPERCOMPUTING IN OPTIMISATION OF TRANSCRIPTION FACTOR BINDING SITE SEQUENCE AN

超级计算优化转录因子结合位点序列

• 批准号: 8171942
• 负责人: DAVID GHOSH
• 金额: $ 0.11万
• 依托单位: CARNEGIE-MELLON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-01 至 2013-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8171942
• 关键词: Address; Binding Sites; Bioinformatics; Biology; Cell Nucleus; Cells; Complex; Computer Retrieval of Information on Scientific Projects Database; Databases; Development; Funding; Gene Expression Regulation; Genetic Transcription; Genome; Grant; Informatics; Institution; Life; Methods; Organism; Protein Family; Proteins; Research; Research Personnel; Resources; Signal Pathway; Source; Supercomputing; Technology; United States National Institutes of Health; Work; extracellular; improved; relational database; transcription factor

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. Transcription factors have a variety of complex informatics aspects. In living cells, these proteins are at the endpoint of signaling pathways and transduce extracellular information to the transcription machinery in the nucleus. TFs are among the largest families of proteins encoded by an organism's genome, and thus constitute an important part of gene regulation biology. Managing transcription factor information also offers a variety of challenges which can be addressed by existing database and bioinformatics methods and technologies, as well as those in development. This activity builds on previous work with TFD (Transcription Factors Database), initially organized as a relational database, and technologies to improve database contents as well as to perform computational analyses using information in this database.

该副本是利用众多研究子项目之一 由NIH/NCRR资助的中心赠款提供的资源。子弹和 调查员（PI）可能已经从其他NIH来源获得了主要资金， 因此可以在其他清晰的条目中代表。列出的机构是 对于中心，这不一定是调查员的机构。 转录因子具有各种复杂的信息学方面。 在活细胞中，这些蛋白质处于信号通路的端点，并将细胞外信息转换为细胞核中的转录机械。 TF是由生物体基因组编码的最大蛋白质家族之一，因此构成了基因调节生物学的重要组成部分。 管理转录因子信息还提供了各种挑战，可以通过现有数据库和生物信息学方法和技术以及正在开发的挑战来解决。 此活动基于先前与TFD（转录因子数据库）的工作，最初是作为关系数据库和技术来改善数据库内容以及使用此数据库中信息进行计算分析的技术。