Flow Index based Characterization of next Generation Sequencing Errors Visualizing Pyrosequencing and Semiconductor Sequencing to Cope with Homopolymer Errors

摘要

We characterized the error sources of multiple resequencing measurements performed on the Ion Torrent Personal Genome Machines and the Roche 454 sequencing platforms. Homopolymer insertions and deletions are the most common error types for these platforms, and there are many underlying factors which define their occurrence patterns. In the paper we investigate the effect of flow order, specifically the difference in the average value of the flow values for each homopolymer run length, based on the position in the flow cycle.