I've got my data, now what? The frontier of genomics data mining and visualization

Genomics data mining and visualization has long presented a challenge for the bioinformatics community. But now, as next generation sequencing (NGS) data generation has become both cheaper and more accessible, the volume of... [ view full abstract ]

Genomics data mining and visualization has long presented a challenge for the bioinformatics community. But now, as next generation sequencing (NGS) data generation has become both cheaper and more accessible, the volume of data has soared and this challenge has intensified. Furthermore, the need to integrate and compare data sets from multiple sources, both public and private have become a necessity.
While some are beginning to emerge, the research community is still largely without an accessible/affordable open source or commercial solution leading the charge. Furthermore, while many free online tools exist, data privacy issues prevent researchers from utilizing such tools on anything but public available data.
In this presentation we will highlight those emerging platforms and technologies aimed at addressing these challenges, and identify the hurdles that these solutions will need to overcome.