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A Graph Based Framework to Model Virus Integration Sites.

Abstract：

:With next generation sequencing thousands of virus and viral vector integration genome targets are now under investigation to uncover specific integration preferences and to define clusters of integration, termed common integration sites (CIS), that may allow to assess gene therapy safety or to detect disease related genomic features such as oncogenes. Here, we addressed the challenge to: 1) define the notion of CIS on graph models, 2) demonstrate that the structure of CIS enters in the category of scale-free networks and 3) show that our network approach analyzes CIS dynamically in an integrated systems biology framework using the Retroviral Transposon Tagged Cancer Gene Database (RTCGD) as a testing dataset.

journal_name

Comput Struct Biotechnol J

journal_title

Computational and structural biotechnology journal

authors

Fronza R,Vasciaveo A,Benso A,Schmidt M

doi

10.1016/j.csbj.2015.10.006

subject

Has Abstract

pub_date

2015-11-30 00:00:00

pages

69-77

issn

2001-0370

pii

S2001-0370(15)00049-5

journal_volume

14

pub_type

杂志文章

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