anchor.diff:        <div class="card-title card-title-colored"><h2 class="card-title-text">Taxonomic Identification</h2></div>
         <div class="card-supporting-text">
           <p>
  -          UMGAP uses exact substring matching to identify reads.
  +          <span class="initialism">UMGAP</span> uses exact substring matching to identify reads.
             The next step of the pipeline fragments each amino acid sequence into 9-mers.
             The <i>k</i>-mers of a string are all possible substrings of length <i>k</i>.
             For example, the 4-mers of the string "ABCDEFG" are "ABCD", "BCDE", "CDEF" and "DEFG".
  
positive.code: <!--   -->1,392734,Terriglobus roseus
  <!--   -->1,940615,Granulicella tundricola</pre>
          <p>
            The <code>grep</code> command will drop the FASTA headers,
            allowing the <code>report</code> command to snap each taxon to either a species or "unknown"
            and report the frequency table of the results.
          </p>
  
negative.code:         <p>
            To convert the metagenomics reads into a metaproteomics problem,
            we have to perform some kind of gene prediction.
            While any gene prediction tool can be used, <span class="initialism">UMGAP</span> was tested with FragGeneScan (2010) and FragGeneScan++,
            our in-house improved version of FragGeneScanPlus (2015), a predictor using Hidden Markov Models.
            Alternatively, you can also try all possible translations and use the built-in six-frame translation tool.
          </p>
  