Mergeomics: multidimensional data integration to identify pathogenic perturbations to biological systems

Shu L., Zhao Y., Kurt Z., Byars S. G., Tukiainen T., Kettunen J., ...More

BMC GENOMICS, vol.17, 2016 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 17
  • Publication Date: 2016
  • Doi Number: 10.1186/s12864-016-3198-9
  • Journal Name: BMC GENOMICS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Yıldız Technical University Affiliated: No

Abstract

Background: Complex diseases are characterized by multiple subtle perturbations to biological processes. New omics platforms can detect these perturbations, but translating the diverse molecular and statistical information into testable mechanistic hypotheses is challenging. Therefore, we set out to create a public tool that integrates these data across multiple datasets, platforms, study designs and species in order to detect the most promising targets for further mechanistic studies.