首页    期刊浏览 2024年10月06日 星期日
登录注册

文章基本信息

  • 标题:Common integration sites of published datasets identified using a graph-based framework
  • 本地全文:下载
  • 作者:Alessandro Vasciaveo ; Ivana Velevska ; Gianfranco Politano
  • 期刊名称:Computational and Structural Biotechnology Journal
  • 印刷版ISSN:2001-0370
  • 出版年度:2016
  • 卷号:14
  • 页码:87-90
  • DOI:10.1016/j.csbj.2015.11.004
  • 语种:
  • 出版社:Computational and Structural Biotechnology Journal
  • 摘要:With next-generation sequencing, the genomic data available for the characterization of integration sites (IS) has dramatically increased. At present, in a single experiment, several thousand viral integration genome targets can be investigated to define genomic hot spots. In a previous article, we renovated a formal CIS analysis based on a rigid fixed window demarcation into a more stretchy definition grounded on graphs. Here, we present a selection of supporting data related to the graph-based framework (GBF) from our previous article, in which a collection of common integration sites (CIS) was identified on six published datasets. In this work, we will focus on two datasets, ISRTCGD and ISHIV, which have been previously discussed. Moreover, we show in more detail the workflow design that originates the datasets.
国家哲学社会科学文献中心版权所有