r-bioc-shortread 1.36.0-1 / usr / lib / R / site-library / ShortRead / template / QASequenceUse.html

<h2>Sequence Use</h2>
<a name="Sequence-Use"></a>

<p>
  These curves show how coverage is distributed amongst
  reads. Ideally, the cumulative proportion of reads will transition
  sharply from low to high.
</p>
<p>
  Portions to the left of the transition might correspond roughly to
  sequencing or sample processing errors, and correspond to reads that
  are represented relatively infrequently. 10-15&#37;; of reads in a
  typical Genome Analyzer 'control' lane fall in this category.
</p>
<p>
  Portions to the right of the transition represent reads that are
  over-represented compared to expectation. These might include
  inadvertently sequenced primer or adapter sequences, sequencing or
  base calling artifacts (e.g., poly-A reads), or features of the
  sample DNA (highly repeated regions) not adequately removed during
  sample preparation. About 5&#37; of Genome Analyzer 'control' lane
  reads fall in this category.
</p>
<p>
  Broad transitions from low to high cumulative proportion of reads
  may reflect sequencing bias or (perhaps intentional) features of
  sample preparation resulting in non-uniform coverage. the transition
  is about 5 times as wide as expected from uniform sampling across
  the Genome Analyzer 'control' lane.
</p>

@SEQUENCE_USE@