Project

Development of a data-mining pipeline for drug target identification from circulating transcriptomes of lung cancer patients

Acronym
01d23216
Duration
01 January 2017 → 15 February 2020
Funding
Regional and community funding: Special Research Fund
Research disciplines
  • Medical and health sciences
    • Pediatrics and neonatology
    • Pediatrics and neonatology
    • Nursing
    • Pediatrics and neonatology
Keywords
data-mining circulating transcriptome cancer
 
Project description

I will develop a bioinformatics tool to identify drug candidates for lung cancer patients using RNA sequencing data from different blood fractions (circulating tumor cells, exosomes and cell-free circulating nucleic acids), enabling a more precise patient treatment. It will be tested in lung cancer (case study) but the developed tools will also be useful for other cancer types.