An online web application which enables a fully automated workflow starting from a list of differentially expressed genes and deriving the enriched KEGG metabolic and signaling pathways, merged into two respective, non-redundant super-networks. KENeV provides an integrative tool, suitable for users with no programming experience, for the functional interpretation, at both the metabolic and signaling level, of differentially expressed gene subsets deriving from genomic experiments.
Metabolic Engineering and Bioinformatics Programme, Institute of Medicinal Chemistry and Biotechnology, National Hellenic Research Foundation, Athens, Greece; Biomedical Research Foundation, Academy of Athens, Athens, Greece
KENeV funding source(s)
The presented work in this article has been cofunded by European and Greek National Funds, through the Greek National Strategic Reference Framework Operational Program “Competitiveness and Entrepreneurship”, Action COOPERATION (09ΣYN-11-675), entitled “PIK3CA Oncogenic Mutations in Breast and Colon Cancers: Development of Targeted Anticancer Drugs and Diagnostics” (POM), and (09ΣΥΝ-21-1078) entitled “Development of novel Angiogenesis-Modulating Pharmaceuticals by screening of natural compounds and synthetic analogues”, and the National Operational Program “Education and Lifelong Learning” Action THALIS – University of Patras (MIS:377001),entitled “Development of Systems Biology and Bioinformatics Tools to Study the Dynamics of Cellular Aging” (MAESTRO).