Visualizing Patterns in Sequential Data – Center for Data Innovation

Researchers from Harvard University and Novartis have developed a data visualization tool called Peax that helps researchers find patterns in sequential data,  including genomic data. The size and complexity of genomic data can make it difficult to identify patterns, and Peax allows users to search through their data based on visual descriptions of patterns to spot them. Peax also uses deep learning to improve over time as users label the patterns Peax returns as interesting or not interesting.