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首页> 外文会议>2007 summer computer simulation conference (SCSC'07) >Novel approaches to the prediction of CpG islands and their methylation status
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Novel approaches to the prediction of CpG islands and their methylation status

机译：预测CpG岛及其甲基化状态的新方法

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摘要

A DNA sequence can be described as a stringrncomposed of four symbols: A, T, C and G, each representing arnchemically distinct nucleotide molecule. Combinations of twornnucleotides are called dinucleotides and CpG islands representrnregions of a DNA sequence, certain substrings, which arernenriched in CpG dinucleotides (C followed by G). CpG islandsrnrepresent an enigmatic feature of vertebrate genomes. They arncritical target for transcriptional control, since methylation ofrnthese CpG islands leads to structural changes in the DNA thatrnstops the expression of any associated gene. The factors thatrnprovoke or impede methylation are currently unknown. Inrngeneral, the maintenance of a particular pattern of methylatedrnCpG dinucleotides represents a critical regulatory systemrnduring a host of normal developmental processes, but thernerroneous methylation of CpG islands and the resulting genesilencingrncan lead to the development of cancer. We presentrnhere a novel unsupervised machine learning method that isrncapable of distinguishing biologically significant classes of CpGrnislands, including the separation of methylated andrnunmethylated CpG islands. This method represents anrnimportant novel approach that will aid in the computationalrnprediction of methylation, which is commonly used in the preselectionrnof worthwhile sequences for methylation experiments.
机译：DNA序列可以描述为由四个符号组成的字符串：A，T，C和G，每个代表化学上不同的核苷酸分子。两个核苷酸的组合称为二核苷酸，CpG岛代表DNA序列的区域，即某些子串，富含CpG二核苷酸（C，然后是G）。 CpG岛代表着脊椎动物基因组的神秘特征。它们是转录控制的关键目标，因为这些CpG岛的甲基化会导致DNA的结构变化，从而阻止任何相关基因的表达。激发或阻碍甲基化的因素目前未知。通常，维持甲基化的CpG二核苷酸的特定模式代表了一系列正常发育过程中的关键调控系统，但是CpG岛的错误甲基化和由此产生的基因沉默可以导致癌症的发展。我们在这里提出了一种新颖的无监督机器学习方法，该方法不能区分生物学上重要的CpGrnislands类，包括甲基化和甲基化的CpG岛的分离。该方法代表了一种重要的新方法，该方法将有助于甲基化的计算预测，该方法通常在用于甲基化实验的有价值的预选择序列中常用。

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  • 来源
  • 会议地点 San Diego CA(US);San Diego CA(US)
  • 作者

    Christopher Previti; Oscar Harari; Igor Zwir; Coral del Val;

  • 作者单位

    Department of Molecular Biophysics (B020) at the German Cancer Research Institute (DKFZ), cpreviti@gmail.com;

    rnDepartamento de Ciencias de la Computación e Inteligencia Artificial Escuela Técnica Superior de Ingenieria Informática, oharari@decsai.ugr.es;

    rnDepartamento de Ciencias de la Computación e Inteligencia Artificial Escuela Tecnica Superior de Ingenieria Informática Howard Hughes Medical Institute, Washington University, School of Medicine, zwir@borcim.wustl.edu;

    rnDepartamento de Ciencias de la Computación e Inteligencia Artificial Escuela Tecnica Superior de Ingenieria Informática, delval@decsai.ugr.es;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计算机仿真;
  • 关键词

    CpG islands; methylation; data mining; unsupervised learning; classification;

    机译：CpG岛；甲基化；数据挖掘；无监督学习；分类;

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