driveR: a novel method for prioritizing cancer driver genes using somatic genomics data

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Ulgen E., SEZERMAN O. U.

BMC BIOINFORMATICS, vol.22, no.1, 2021 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 22 Issue: 1
  • Publication Date: 2021
  • Doi Number: 10.1186/s12859-021-04203-7
  • Journal Name: BMC BIOINFORMATICS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, BIOSIS, Biotechnology Research Abstracts, CAB Abstracts, Compendex, EMBASE, INSPEC, MEDLINE, Veterinary Science Database, Directory of Open Access Journals
  • Keywords: Driver gene, Prioritization, Cancer, Somatic, MUTATIONS, IDENTIFICATION, PREDICTION
  • Acibadem Mehmet Ali Aydinlar University Affiliated: Yes

Abstract

Background: Cancer develops due to "driver" alterations. Numerous approaches exist for predicting cancer drivers from cohort-scale genomics data. However, methods for personalized analysis of driver genes are underdeveloped. In this study, we developed a novel personalized/batch analysis approach for driver gene prioritization utilizing somatic genomics data, called driveR.