Common integration sites of published datasets identified using a graph-based framework

详细信息    查看全文

• 作者：Alessandro Vasciaveo^a ; ^b ; Ivana Velevska^a ; Gianfranco Politano^b ; Alessandro Savino^b ; Manfred Schmidt^a ; Raffaele Fronza^a ; ^{raffaele.fronza@nct-heidelberg.de}
• 刊名：Computational and Structural Biotechnology Journal
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：14
• 期：Complete
• 页码：87-90
• 全文大小：552 K
• 卷排序：14

文摘

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.