Challenges within and between omics data integration
In the era of Big Data, the tsunami of massive ‘omics’ data production is shifting the way we do science. Life science researchers are no longer obliged to utilize one data set at a time, and are moving towards multi-disciplinary integrative biology. It has been demonstrated that integration of different ‘omics’ data platforms (including genome, transcriptome, proteome, and epigenome, etc..), boost biological discoveries and improve functional predictions of the underlying interactions and regulation among molecular entities, such as genes. Integrating different ‘omics’ profiles is a challenging task, reminiscent of pattern mining in large datasets or clustering problems in multiple dimensions. One must account for the effects of each data type, thereby alleviating the problems associated with processing data across different platforms, and variable reliability levels of heterogeneous data.
In this first training of a series of three, we will introduce computational approaches that are at hand to analyze, integrate and interpret omics data. We target scientists with no or limited knowledge on omics data integration, more advanced levels will be addressed in following sessions in 2019. During a first day of lectures (Monday 19 November), experts in the field will illustrate their know-how, discuss applications and stir new ideas to integrate and interpret data from different omics technologies. The first session of the day will deal with different sources of data, data management, data standardization, etc. Next, field experts will showcase algorithms and tools they developed and/or use for different types of omics data integration (both supervised and unsupervised methods) and explain opportunities and challenges of the specific algorithms. A third session will be dedicated to interpretation and validation of results. During a round table discussion, the trainers will address questions/issues that were raised by the participants, to stimulate the interaction and to make the training as relevant as possible for your own research. We will end the day with a keynote talk that will integrate several of the methodologies that were discussed during the day into a biological story. For more information and registration visit: http://www.vib.be/en/training/research-training/courses/Pages/Challenges-within-and-between-omics-data-integration.aspx