Rateitschak Katja, Müller Tobias, Vingron Martin
Max Planck Institute for Molecular Genetics, Ihnestr. 73, D-14195 Berlin, Germany.
In Silico Biol. 2004;4(4):479-87.
In the presented work we search for transcription factor binding sites (BS) by including additional information about typical BS patterns. The new proposed score combines the ordinary profile score based on TRANSFAC-matrices together with a score based on pairs of BS. The latter score positively weights pairs of BS that tend to occur together in many regulatory DNA-sequences, in contrast to a random background model. The empirical BS pair frequencies result from our evaluation of a large dataset of orthologous genes.
在本研究中,我们通过纳入有关典型转录因子结合位点(BS)模式的额外信息来搜索转录因子结合位点。新提出的评分方法将基于TRANSFAC矩阵的普通轮廓评分与基于BS对的评分相结合。与随机背景模型相比,后一种评分对在许多调控DNA序列中倾向于共同出现的BS对给予正向加权。经验性的BS对频率来自我们对大量直系同源基因数据集的评估。