D. Maderankova, K. Sedlář, Martin Vítek, Helena Skutková
{"title":"The identification of replication origin in bacterial genomes by cumulated phase signal","authors":"D. Maderankova, K. Sedlář, Martin Vítek, Helena Skutková","doi":"10.1109/CIBCB.2017.8058561","DOIUrl":null,"url":null,"abstract":"The origin of replication (oriC) plays an important role in the cell cycle as the place where DNA replication is initiated. In bacterial cells, a single replication origin can be found and its correct identification is necessary in the annotation process of newly sequenced genomes. Although the rearrangement of a whole genome sequence according to oriC should be a standard procedure, public databases still contain lots of genomes starting at a random place. This situation complicates the comparative analysis of whole bacterial genomes as only two genomes rearranged according to oriC can be reliably aligned. In this paper, we present a novel technique for oriC prediction based exclusively on utilization of cumulated phase signal which distinguishes our approach from current techniques combining application of genomic signal processing techniques with a standard character based comparison. Proposed technique is therefore fast and suitably complements the current pipeline for comparison of whole bacterial genomes by aligned downsampled signals.","PeriodicalId":283115,"journal":{"name":"2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIBCB.2017.8058561","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The origin of replication (oriC) plays an important role in the cell cycle as the place where DNA replication is initiated. In bacterial cells, a single replication origin can be found and its correct identification is necessary in the annotation process of newly sequenced genomes. Although the rearrangement of a whole genome sequence according to oriC should be a standard procedure, public databases still contain lots of genomes starting at a random place. This situation complicates the comparative analysis of whole bacterial genomes as only two genomes rearranged according to oriC can be reliably aligned. In this paper, we present a novel technique for oriC prediction based exclusively on utilization of cumulated phase signal which distinguishes our approach from current techniques combining application of genomic signal processing techniques with a standard character based comparison. Proposed technique is therefore fast and suitably complements the current pipeline for comparison of whole bacterial genomes by aligned downsampled signals.
复制起始点(origin of replication, oriC)作为DNA开始复制的地方,在细胞周期中起着重要的作用。在细菌细胞中,可以找到一个单一的复制起点,在新测序基因组的注释过程中对其进行正确的鉴定是必要的。虽然根据oriC对整个基因组序列进行重排应该是一个标准的程序,但公共数据库仍然包含许多从随机位置开始的基因组。这种情况使整个细菌基因组的比较分析复杂化,因为只有根据oriC重新排列的两个基因组才能可靠地对齐。在本文中,我们提出了一种新的oriC预测技术,该技术完全基于累积相位信号的利用,这将我们的方法与当前将基因组信号处理技术的应用与基于标准特征的比较相结合的技术区分开来。因此,所提出的技术是快速的,并适当地补充了目前通过对齐的下采样信号来比较整个细菌基因组的管道。