anchor.diff:            or one of the many visualizations Unipept offers.
           </p>
           <pre>
  -<!--   --><b>$</b> grep -v '^>' < classification.fa | umgap report -r species taxons.tsv | tee report.csv
  +<!--   --><b>$</b> grep -v '^>' classification.fa | umgap report -r species taxons.tsv | tee report.csv
   <!--   -->1,332163,Candidatus Solibacter usitatus
   <!--   -->1,392734,Terriglobus roseus
   <!--   -->1,940615,Granulicella tundricola
  
positive.code:           by selecting only 9-mer hits which are spatially close to other hits.
          </p>
          <pre>
  <!--   --><b>$</b> umgap seedextend taxons.tsv < found-kmers.fa | tee selected-seeds.fa
  <!-- -->>read1/1|1
  <!-- -->35725 2759 1 1 1 2 515393 201174
  <!-- -->>read1/1|2
  
negative.code:           allowing the <code>report</code> command to snap each taxon to either a species or "unknown"
            and report the frequency table of the results.
            This command will prove more useful with larger input.
          </p>
        </div>
      </div>
  
      <div class="card">
        <div class="card-title card-title-colored"><h2 class="card-title-text">Recap</h2></div>
        <div class="card-supporting-text">
          <p>
            The complete UMGAP can be written as a single command.
            This allows the steps to run in parallel, further speeding up the final result.
          </p>
          <pre>
  <!--   --><b>$</b> umgap fastq2fasta A1.fq A2.fq |          # joining paired-end files
  <!--          -->  umgap translate -a |                     # translating all six frames
  <!--          -->  umgap prot2kmer2lca -o -k9 9-mer.index | # mapping each 9-mer onto a taxon or 0
  <!--          -->  umgap seedextend |                       # filtering extended seeds
  <!--          -->  sed '/^>/s_/.*__' |                      # dropping the paired-end and frame annotations
  <!--          -->  umgap uniq |                             # joining equal headers (all taxa of the same read)
  <!--          -->  umgap taxa2agg taxons.tsv |              # aggregating all taxa
  <!--          -->  grep -v '^>' |                           # dropping headers
  <!--          -->  umgap report taxons.tsv                  # make frequency table
  <!--   -->1,332163,Candidatus Solibacter usitatus
  <!--   -->1,392734,Terriglobus roseus
  <!--   -->1,940615,Granulicella tundricola
          </pre>
          <p>
            This command processes the complete Metabenchmark A1 dataset on our computational server
            (16 Intel Xeon CPU E5-2650 v2 at 2.60GHz, 20*16GB RDIMM x4 Data Width at 1866MHz, with the 9-mer index loaded in RAM)
            in 4h22, that is 1840 reads per second.
          </p>
        </div>
      </div>
  