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SPINNAKER: an R-based tool to highlight key RNA interactions in complex biological networks

Articolo
Data di Pubblicazione:
2022
Abstract:
Background: Recently, we developed a mathematical model for identifying putative competing endogenous RNA (ceRNA) interactions. This methodology has aroused a broad acknowledgment within the scientific community thanks to the encouraging results achieved when applied to breast invasive carcinoma, leading to the identification of PVT1, a long non-coding RNA functioning as ceRNA for the miR-200 family. The main shortcoming of the model is that it is no freely available and implemented in MATLAB (R), a proprietary programming platform requiring a paid license for installing, operating, manipulating, and running the software.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Algorithms; ceRNA network; Network theory; miRNA sponge
Elenco autori:
Fiscon, Giulia; Paci, Paola
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/446518
Pubblicato in:
BMC BIOINFORMATICS
Journal
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