SUPERCOMPUTING IN OPTIMISATION OF TRANSCRIPTION FACTOR BINDING SITE SEQUENCE AN

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 转录因子具有多种复杂的信息学方面。 在活细胞中，这些蛋白质位于信号通路的终点，并将细胞外信息传递给细胞核中的转录机制。 转录因子是由生物体基因组编码的最大蛋白质家族之一，因此构成基因调控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，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。 这项活动建立在以前的工作与TFD（转录因子数据库），最初组织为一个关系数据库，和技术，以改善数据库的内容，以及执行计算分析使用该数据库中的信息。

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.