TAGS: OMnalysi; OMICS; cognitive text mining;

Objectives

The aim of the project is to generate an integrated software platform (OMnalysis) to understand the biological relevance of the molecules (putative biomarkers) identified from the omics approaches to address the existing gap in big data analysis.

Description of the project

OMnalysis will use the data generated from other Early Stage Researcher (ESRs, PhD fellows) for the establishment of OMnalysis. OMnalysis will be integrated software platform that will combine the power of different bioinformatic and biostatistic tools, gather information from various OMICS repositories and add capability of cognitive text mining (cognitive computing built on the IBM’s Watson system, handled by private company MetLabs) to reveal the biological relevance of the set of genes, proteins or metabolites.

The ESR will be enrolled by the University of Kosice (https://lbmi.uvlf.sk; https://www.uvlf.sk), Slovakia, under the supervision of prof. Mangesh Bhide (https://lbmi.uvm.sk/LBMI/Researchers.html) and will be awarded a Double Doctorate degree in co-tutelle with the Autonomous University of Barcelona, under the supervision of Prof. Armand Sanchez. The supervision team is completed by a non-academic supervisor, Dr. Milan Samaj, from MetLab (https://metlabs.sk) in Bratislava.

The research will involve secondments to MetLabs in Bratislava, and FVM (https://www-staro.vef.unizg.hr/en/) in Zagreb and the University of Glasgow (https://www.gla.ac.uk/) and MetLabs (https://metlabs.sk) at Bratislava.

The selected candidate will participate in the network’s training activities and work placements in the laboratories of the participating academic and industrial partners.