SUPERCOMPUTING IN OPTIMISATION OF TRANSCRIPTION FACTOR BINDING SITE SEQUENCE AN

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 转录因子具有多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终点，将细胞外信息转导到细胞核内的转录机器。转录因子是生物体基因组编码的最大的蛋白质家族之一，因此构成了基因调控生物学的重要组成部分。管理转录因子信息也带来了各种挑战，这些挑战可以通过现有的数据库和生物信息学方法和技术以及正在开发的方法和技术来解决。这项活动建立在TFD(转录因子数据库)以前工作的基础上，TFD最初被组织为一个关系数据库，以及改进数据库内容和利用该数据库中的信息进行计算分析的技术。

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.