Development and application of bioinformatic methods to analyze genome-wide expression and survival data from cancer patients

Abstract

[EN] The development of robust omic technologies (genomics, transcriptomics, proteomics, etc) to generate and understand genome-wide alterations is already having an impact on health care, with a particular relevance on cancer and oncology. Within the current context of Personalised Medicine, Precision Medicine and Genomic Medicine (Roden and Tyndale, 2013), modern cancer research has to be done considering an adecuate use of the large-scale data derived from these new omic technologies. Some of these technologies, such as transcriptomic expression pro ling, have been already applied to thousands of human samples (see public database GEO (NCBI, 2019)), and provide information about the expression status of all the known genes in the analised individuals. In order to be useful and applicable to medical research, such omic data should be integrated with the corresponding clinical data using adequate computational and bioinformatic tools and methods. This is a main framework where the current Doctoral Thesis work is proposed.