چکیده (انگلیسی):

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 allowto 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) showthat 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.
© 2016 Fronza et al.. Published by Elsevier B.V. on behalf of the Research Network of Computational and
Structural Biotechnology. This is an open access article under the CC BY license