iFiT: An Integrative Bioinformatics Platform for Biomarker and Target Discovery. A Case Study in Neuroendocrine Tumors
Introduction: iFiT (Ipsen Focused-on-new bIological enTities and biomarkers) is a Bioinformatics platform integrating systems biology functionalities together with semantic & logic-based artificial intelligence within a high-scale computing environment.
Aim(s): Key applications are the discovery of potential therapeutic targets as well as the identification of patient stratification candidate biomarkers.
Materials and methods: Given the limited OMICs characterization of neuroendocrine tumors, the identification of driver genes and pathways is challenging: To help circumvent this paucity of molecular information, iFiT was built on the postulate that co-expressed genes participate in the same biological processes. Furthermore, we fed the platform with curated heterogeneous datasets, pre-clinical and clinical, including molecular and phenotypic information. We focused our search on drugable GPCRs and microRNAs involved in mechanisms such as pancreas islet cells lineage, differentiation, multiplication and hormone secretion.
Conference: 13th Annual ENETSConcerence (2016)
Presenting Author: Tourlet S
Keywords: Targets iFiT,
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