## Run summary

Read counts. Filtered and aligned read counts are reported relative to the total number of reads (clusters; if only filtered or aligned reads are available, total read count is reported). Consult Genome Analyzer documentation for official guidelines. From experience, very good runs of the Genome Analyzer 'control' lane result in 6-8 million reads, with up to 80% passing pre-defined filters.

      ShortRead:::.ppnCount(qa[["readCounts"]])

@PPN_COUNT@

Base call frequency over all reads. Base frequencies should accurately reflect the frequencies of the regions sequenced.

      qa[["baseCalls"]] / rowSums(qa[["baseCalls"]])

@BASE_CALL_COUNT@

Overall read quality. Lanes with consistently good quality reads have strong peaks at the right of the panel.

      df <- qa[["readQualityScore"]]
      ShortRead:::.plotReadQuality(df[df$type=="read",])

@READ_QUALITY_FIGURE@