Computational workflow for integrative analyses of DNA replication timing, epigenomic, and transcriptomic data

This study details a new computational method for analyzing how and when genetic changes happen. This is important because this method can be used in other studies to pinpoint where and when genetic changes happen for experimental studies, such as in lung cancer, which will lead to better understanding for future treatment targets and timing. Coauthor Johnathan Whetstine, PhD, was funded by the Lung Association Lung Cancer Discovery Award.