Taken together, coverage and error bias assays provide a comprehensive view of bias in sequence data. We note several avenues for future work. First, the assays can be used to drive laboratory improvements, with the goal of minimizing bias. Second, the assays can be used to monitor intentional and unintentional process changes that might affect bias. Third, the assay genomes and our knowledge of them might be improved. In particular, it would be of great value to have an ultra-high-quality reference sequence for an available human sample. Fourth, the motifs might be refined and added to with the goal of creating as comprehensive and informative a list of bias-prone contexts as possible. Collectively these advances could improve data quality, thus increasing the accuracy and contiguity of genome assemblies and minimizing the likelihood that biologically important loci will be poorly represented in sequence data.
