Mark Rogers

Currently engaged in helping GenoFAB to bring 5S Lean principals into the synthetic biology lab. Recent work includes data analysis on factorial experimental designs for assessing the impact of different gene architectures on yeast colony growth. Previously my research focused on applying machine learning to problems in bioinformatics, with an emphasis on data integration. Specific research areas included methods for predicting mRNA alternative splicing patterns from RNA-Seq, gene models and ESTs (SpliceGrapher), as well as data-level (single kernel), kernel-level (MKL) and model-level (ensemble) approaches to integrating features for prediction of pathogenic germline or somatic single-nucleotide variants (SNVs) (FATHMM-MKL, FATHMM-XF, CScape and ongoing work).