Controls the quality of Solexa-based DNA sequence data. TileQC features both qualitative and quantitative error detection. The guiding philosophy behind tileQC's qualitative error assessment features is that the researcher's visual pattern recognition is the best way to detect novel errors. It contains functions that are optimized to create such qualitative displays. The visual representation appears on the left and a relative frequency histogram of the number of reads in each Eland category for that tile appears to the right. The researcher may select which categories of read are to be displayed, and even filter the unique reads based upon whether they match the forward strand, the reverse strand, or either.