Abstract CN01-01: Big challenges of big data: Biomedical science in the petabyte era

Next-generation sequencing technologies (NGS) have exploded in popularity in recent years thanks to their ability to produce an enormous volume of data quickly and at relatively low cost compared to traditional sequencing methods such as Sanger sequencing. The emergence of NGS has pushed forward the goal of personalized medicine, but looking at the entire scope of a study from experimental design to data analysis to the ultimate goal of dose selection based on a patient's genome reveals many more challenges. Sample size for RNA-seq studies has been a persistent problem that has only recently received attention. Sequencing data analysis packages are numerous and constantly in development, but without a clear gold standard, they can be more overwhelming than helpful. Finally, this genomic information must be seamlessly integrated with clinical information for the knowledge to be useable by practitioners before the goal of personalized medicine can become a reality.Citation Format: Yu Shyr. Big challenges of big data: Biomedical science in the petabyte era. [abstract]. In: Proceedings of the Thirteenth Annual AACR International Conference on Frontiers in Cancer Prevention Research; 2014 Sep 27-Oct 1; New Orleans, LA. Philadelphia (PA): AACR; Can Prev Res 2015;8(10 Suppl): Abstract nr CN01-01.

Source: Cancer Prevention Research - October 2, 2015 Category: Cancer & Oncology Authors: Shyr, Y. Tags: Bioinformatics and ' Omics : Oral Presentations - Invited Abstracts Source Type: research