...
首页> 外文期刊>Nucleic acids research >Identification of new eukaryotic tRNA genes in genomic DNA databases by a multistep weight matrix anaylsis of transcriptional control regions
【24h】

Identification of new eukaryotic tRNA genes in genomic DNA databases by a multistep weight matrix anaylsis of transcriptional control regions

机译:通过转录控制区的多步权重矩阵分析,在基因组DNA数据库中鉴定新的真核tRNA基因

获取原文
           

摘要

A linear method for the search of eukaryotic nuclear tRNA genes in DNA databases is described. Based on a modified version of the general weight matrix procedure, our algorithm relies on the recognition of two intragenlc control regions known as A and B boxes, a transcription termination signal, and on the evaluation of the spacing between these elements. The scanning of the eukaryotic nuclear DNA database using this search algorithm correctly identified 933 of the 940 known tRNA genes (0.74% of false negatives). Thirty new potential tRNA genes were identified, and the transcriptional activity of two of them was directly verified by in vitro transcription. The total false positive rate of the algorithm was 0.014%. Structurally unusual tRNA genes, like those coding for selenocysteine tRNAs, could also be recognized using a set of rules concerning their specific properties, and one human gene coding for such tRNA was identified. Some of the newly identified tRNA genes were found in rather uncommon genomic positions: 2 in centromerlc regions and 3 within introns. Furthermore, the presence of extragenically located B boxes in tRNA genes from various organisms could be detected through a specific subroutine of the standard search program.
机译:描述了在DNA数据库中搜索真核核tRNA基因的线性方法。基于一般权重矩阵程序的修改版本,我们的算法依赖于识别两个内部控制区域(称为A和B框),转录终止信号以及评估这些元素之间的间隔。使用该搜索算法对真核细胞核DNA数据库进行的扫描正确识别了940个已知tRNA基因中的933个(假阴性的0.74%)。鉴定了三十个新的潜在tRNA基因,并通过体外转录直接验证了其中两个的转录活性。该算法的总假阳性率为0.014%。结构异常的tRNA基因,如编码硒代半胱氨酸tRNA的基因,也可以使用一组有关其特定特性的规则来识别,并鉴定出一个编码此类tRNA的人类基因。一些新发现的tRNA基因在相当罕见的基因组位置上发现:2个位于中心区域,3个位于内含子内。此外,可以通过标准搜索程序的特定子程序检测来自各种生物体的tRNA基因中外源性定位的B盒的存在。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号