anchor.diff:        <div class="card-title card-title-colored"><h2 class="card-title-text">Aggregation</h2></div>
         <div class="card-supporting-text">
           <p>
  -          At this step of the pipeline, we have a list of taxon identifiers per protein read,
  -          one protein read per reading frame and two paired-ends per metagenomics read.
  -          To get a single taxon identification per read, we need to aggregate this list.
  +          At this step of the pipeline, we have a list of taxon identifiers per protein,
  +          one protein per reading frame, 6 reading frames per paired-end and 2 paired-ends per metagenomics read.
  +          To get a single taxon identification per read, we need to aggregate these 12 lists.
             UMGAP offers 3 alternative aggregation strategies with varying speciality.
   
             <ul>
  
positive.code: <!--   --><b>$</b> mv selected-seeds.fa found-kmers.fa # optional step, same format
          </pre>
          <p>
            This algorithm requires spatial information which is provided
            by supplying the <code>-o</code> flag to the previous command.
            The <code>taxons.tsv</code> is a file describing the NCBI taxonomic tree.
          </p>
  
negative.code:           </ul>
          </p>
          <p>
            Before aggregation the results per read, we remove the markers from the headers with <code>sed</code>
            and combine the results of each reading frame and paired-end with <code>uniq</code>.
          </p>
          <pre>
  