SGER: Identifying Regulatory Motifs in Genomes

SGER：识别基因组中的调控基序

• 批准号: 0223719
• 负责人: Robert Gross
• 金额: $ 9.97万
• 依托单位: Dartmouth College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-07-01 至 2005-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0223719&HistoricalAwards=false
• 关键词: SGER; Identifying; Regulatory; Motifs; Genomes

Sequence motifs in genomes are one of the ways genes are regulated in a coordinate fashion. The simple occurrence and correlation of sequences with specific function is supportive of the hypothesis that a given distribution is involved in regulation. The ability to identify motifs both by sequence and location, as well as to indicate a likelihood score will enable the generation of a series of possible regulatory motifs in both Arabidopsis and E. elegans. Introns as well as upstream regions will be examined. Genes with similar sequences will be clustered and the analysis compared with microarray data to determine possible biological significance. A similar approach could be extended from DNA sequence to short amino acid motifs to help cluster the proteome of each organism.

基因组中的序列基序是基因以协调方式调节的方式之一。具有特定功能的序列的简单出现和相关性支持了给定分布参与调节的假设。 通过序列和位置识别基序的能力，以及指示可能性得分的能力，将使得能够在拟南芥和E.优雅的将检查内含子以及上游区域。具有相似序列的基因将被聚类，并将分析与微阵列数据进行比较，以确定可能的生物学意义。类似的方法可以从DNA序列扩展到短氨基酸基序，以帮助聚类每个生物体的蛋白质组。