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

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

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

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 17
  • Basım Tarihi: 2016
  • Doi Numarası: 10.1186/s12864-016-3198-9
  • Dergi Adı: BMC GENOMICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Yıldız Teknik Üniversitesi Adresli: Hayır

Özet

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.