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<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Transform Arbitrary Input to Valid Microbial Taxonomy — as.mo • AMR (for R)</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/Lato-0.4.9/font.css" rel="stylesheet"><link href="../deps/Fira_Code-0.4.9/font.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><script src="../extra.js"></script><meta property="og:title" content="Transform Arbitrary Input to Valid Microbial Taxonomy — as.mo"><meta name="description" content='Use this function to get a valid microorganism code (mo) based on arbitrary user input. Determination is done using intelligent rules and the complete taxonomic tree of the kingdoms Animalia, Archaea, Bacteria, Chromista, and Protozoa, and most microbial species from the kingdom Fungi (see Source). The input can be almost anything: a full name (like "Staphylococcus aureus"), an abbreviated name (such as "S. aureus"), an abbreviation known in the field (such as "MRSA"), or just a genus. See Examples.'><meta property="og:description" content='Use this function to get a valid microorganism code (mo) based on arbitrary user input. Determination is done using intelligent rules and the complete taxonomic tree of the kingdoms Animalia, Archaea, Bacteria, Chromista, and Protozoa, and most microbial species from the kingdom Fungi (see Source). The input can be almost anything: a full name (like "Staphylococcus aureus"), an abbreviated name (such as "S. aureus"), an abbreviation known in the field (such as "MRSA"), or just a genus. See Examples.'><meta property="og:image" content="https://msberends.github.io/AMR/logo.svg"></head><body>
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<img src="../logo.svg" class="logo" alt=""><h1>Transform Arbitrary Input to Valid Microbial Taxonomy</h1>
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<small class="dont-index">Source: <a href="https://github.com/msberends/AMR/blob/main/R/mo.R" class="external-link"><code>R/mo.R</code></a></small>
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<div class="d-none name"><code>as.mo.Rd</code></div>
</div>
<div class="ref-description section level2">
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<p>Use this function to get a valid microorganism code (<code>mo</code>) based on arbitrary user input. Determination is done using intelligent rules and the complete taxonomic tree of the kingdoms Animalia, Archaea, Bacteria, Chromista, and Protozoa, and most microbial species from the kingdom Fungi (see <em>Source</em>). The input can be almost anything: a full name (like <code>"Staphylococcus aureus"</code>), an abbreviated name (such as <code>"S. aureus"</code>), an abbreviation known in the field (such as <code>"MRSA"</code>), or just a genus. See <em>Examples</em>.</p>
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</div>
<div class="section level2">
<h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
<div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">as.mo</span><span class="op">(</span></span>
<span> <span class="va">x</span>,</span>
<span> Becker <span class="op">=</span> <span class="cn">FALSE</span>,</span>
<span> Lancefield <span class="op">=</span> <span class="cn">FALSE</span>,</span>
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<span> minimum_matching_score <span class="op">=</span> <span class="cn">NULL</span>,</span>
<span> keep_synonyms <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/options.html" class="external-link">getOption</a></span><span class="op">(</span><span class="st">"AMR_keep_synonyms"</span>, <span class="cn">FALSE</span><span class="op">)</span>,</span>
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<span> reference_df <span class="op">=</span> <span class="fu"><a href="mo_source.html">get_mo_source</a></span><span class="op">(</span><span class="op">)</span>,</span>
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<span> ignore_pattern <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/options.html" class="external-link">getOption</a></span><span class="op">(</span><span class="st">"AMR_ignore_pattern"</span>, <span class="cn">NULL</span><span class="op">)</span>,</span>
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<span> cleaning_regex <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/options.html" class="external-link">getOption</a></span><span class="op">(</span><span class="st">"AMR_cleaning_regex"</span>, <span class="fu">mo_cleaning_regex</span><span class="op">(</span><span class="op">)</span><span class="op">)</span>,</span>
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<span> only_fungi <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/options.html" class="external-link">getOption</a></span><span class="op">(</span><span class="st">"AMR_only_fungi"</span>, <span class="cn">FALSE</span><span class="op">)</span>,</span>
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<span> language <span class="op">=</span> <span class="fu"><a href="translate.html">get_AMR_locale</a></span><span class="op">(</span><span class="op">)</span>,</span>
<span> info <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/interactive.html" class="external-link">interactive</a></span><span class="op">(</span><span class="op">)</span>,</span>
<span> <span class="va">...</span></span>
<span><span class="op">)</span></span>
<span></span>
<span><span class="fu">is.mo</span><span class="op">(</span><span class="va">x</span><span class="op">)</span></span>
<span></span>
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<span><span class="fu">mo_uncertainties</span><span class="op">(</span><span class="op">)</span></span>
<span></span>
<span><span class="fu">mo_renamed</span><span class="op">(</span><span class="op">)</span></span>
<span></span>
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<span><span class="fu">mo_failures</span><span class="op">(</span><span class="op">)</span></span>
<span></span>
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<span><span class="fu">mo_reset_session</span><span class="op">(</span><span class="op">)</span></span>
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<span></span>
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<span><span class="fu">mo_cleaning_regex</span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
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</div>
<div class="section level2">
<h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
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<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
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<dd><p>a <a href="https://rdrr.io/r/base/character.html" class="external-link">character</a> vector or a <a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a> with one or two columns</p></dd>
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<dt id="arg-becker">Becker<a class="anchor" aria-label="anchor" href="#arg-becker"></a></dt>
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<dd><p>a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> to indicate whether staphylococci should be categorised into coagulase-negative staphylococci ("CoNS") and coagulase-positive staphylococci ("CoPS") instead of their own species, according to Karsten Becker <em>et al.</em> (see <em>Source</em>). Please see <em>Details</em> for a full list of staphylococcal species that will be converted.</p>
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<p>This excludes <em>Staphylococcus aureus</em> at default, use <code>Becker = "all"</code> to also categorise <em>S. aureus</em> as "CoPS".</p></dd>
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<dt id="arg-lancefield">Lancefield<a class="anchor" aria-label="anchor" href="#arg-lancefield"></a></dt>
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<dd><p>a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> to indicate whether a beta-haemolytic <em>Streptococcus</em> should be categorised into Lancefield groups instead of their own species, according to Rebecca C. Lancefield (see <em>Source</em>). These streptococci will be categorised in their first group, e.g. <em>Streptococcus dysgalactiae</em> will be group C, although officially it was also categorised into groups G and L. . Please see <em>Details</em> for a full list of streptococcal species that will be converted.</p>
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<p>This excludes enterococci at default (who are in group D), use <code>Lancefield = "all"</code> to also categorise all enterococci as group D.</p></dd>
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<dt id="arg-minimum-matching-score">minimum_matching_score<a class="anchor" aria-label="anchor" href="#arg-minimum-matching-score"></a></dt>
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<dd><p>a numeric value to set as the lower limit for the <a href="mo_matching_score.html">MO matching score</a>. When left blank, this will be determined automatically based on the character length of <code>x</code>, its <a href="microorganisms.html">taxonomic kingdom</a> and <a href="mo_matching_score.html">human pathogenicity</a>.</p></dd>
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<dt id="arg-keep-synonyms">keep_synonyms<a class="anchor" aria-label="anchor" href="#arg-keep-synonyms"></a></dt>
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<dd><p>a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> to indicate if old, previously valid taxonomic names must be preserved and not be corrected to currently accepted names. The default is <code>FALSE</code>, which will return a note if old taxonomic names were processed. The default can be set with the package option <code><a href="AMR-options.html">AMR_keep_synonyms</a></code>, i.e. <code>options(AMR_keep_synonyms = TRUE)</code> or <code>options(AMR_keep_synonyms = FALSE)</code>.</p></dd>
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<dt id="arg-reference-df">reference_df<a class="anchor" aria-label="anchor" href="#arg-reference-df"></a></dt>
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<dd><p>a <a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a> to be used for extra reference when translating <code>x</code> to a valid <code>mo</code>. See <code><a href="mo_source.html">set_mo_source()</a></code> and <code><a href="mo_source.html">get_mo_source()</a></code> to automate the usage of your own codes (e.g. used in your analysis or organisation).</p></dd>
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<dt id="arg-ignore-pattern">ignore_pattern<a class="anchor" aria-label="anchor" href="#arg-ignore-pattern"></a></dt>
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<dd><p>a Perl-compatible <a href="https://rdrr.io/r/base/regex.html" class="external-link">regular expression</a> (case-insensitive) of which all matches in <code>x</code> must return <code>NA</code>. This can be convenient to exclude known non-relevant input and can also be set with the package option <code><a href="AMR-options.html">AMR_ignore_pattern</a></code>, e.g. <code>options(AMR_ignore_pattern = "(not reported|contaminated flora)")</code>.</p></dd>
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<dt id="arg-cleaning-regex">cleaning_regex<a class="anchor" aria-label="anchor" href="#arg-cleaning-regex"></a></dt>
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<dd><p>a Perl-compatible <a href="https://rdrr.io/r/base/regex.html" class="external-link">regular expression</a> (case-insensitive) to clean the input of <code>x</code>. Every matched part in <code>x</code> will be removed. At default, this is the outcome of <code>mo_cleaning_regex()</code>, which removes texts between brackets and texts such as "species" and "serovar". The default can be set with the package option <code><a href="AMR-options.html">AMR_cleaning_regex</a></code>.</p></dd>
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<dt id="arg-only-fungi">only_fungi<a class="anchor" aria-label="anchor" href="#arg-only-fungi"></a></dt>
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<dd><p>a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> to indicate if only fungi must be found, making sure that e.g. misspellings always return records from the kingdom of Fungi. This can be set globally for <a href="mo_property.html">all microorganism functions</a> with the package option <code><a href="AMR-options.html">AMR_only_fungi</a></code>, i.e. <code>options(AMR_only_fungi = TRUE)</code>.</p></dd>
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<dt id="arg-language">language<a class="anchor" aria-label="anchor" href="#arg-language"></a></dt>
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<dd><p>language to translate text like "no growth", which defaults to the system language (see <code><a href="translate.html">get_AMR_locale()</a></code>)</p></dd>
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<dt id="arg-info">info<a class="anchor" aria-label="anchor" href="#arg-info"></a></dt>
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<dd><p>a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> to indicate that info must be printed, e.g. a progress bar when more than 25 items are to be coerced, or a list with old taxonomic names. The default is <code>TRUE</code> only in interactive mode.</p></dd>
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<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
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<dd><p>other arguments passed on to functions</p></dd>
</dl></div>
<div class="section level2">
<h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
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<p>A <a href="https://rdrr.io/r/base/character.html" class="external-link">character</a> <a href="https://rdrr.io/r/base/vector.html" class="external-link">vector</a> with additional class <code>mo</code></p>
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</div>
<div class="section level2">
<h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
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<p>A microorganism (MO) code from this package (class: <code>mo</code>) is human-readable and typically looks like these examples:</p>
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<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a> Code Full name</span>
<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a> <span class="sc">---------------</span> <span class="sc">--------------------------------------</span></span>
<span id="cb1-3"><a href="#cb1-3" tabindex="-1"></a> B_KLBSL Klebsiella</span>
<span id="cb1-4"><a href="#cb1-4" tabindex="-1"></a> B_KLBSL_PNMN Klebsiella pneumoniae</span>
<span id="cb1-5"><a href="#cb1-5" tabindex="-1"></a> B_KLBSL_PNMN_RHNS Klebsiella pneumoniae rhinoscleromatis</span>
<span id="cb1-6"><a href="#cb1-6" tabindex="-1"></a> <span class="sc">|</span> <span class="er">|</span> <span class="er">|</span> <span class="er">|</span></span>
<span id="cb1-7"><a href="#cb1-7" tabindex="-1"></a> <span class="er">|</span> <span class="er">|</span> <span class="er">|</span> <span class="er">|</span></span>
<span id="cb1-8"><a href="#cb1-8" tabindex="-1"></a> <span class="er">|</span> <span class="er">|</span> <span class="er">|</span> \<span class="sc">--</span><span class="ot">-&gt;</span> subspecies, a <span class="dv">3-5</span> letter acronym</span>
<span id="cb1-9"><a href="#cb1-9" tabindex="-1"></a> <span class="sc">|</span> <span class="er">|</span> \<span class="sc">---</span><span class="ot">-&gt;</span> species, a <span class="dv">3-6</span> letter acronym</span>
<span id="cb1-10"><a href="#cb1-10" tabindex="-1"></a> <span class="sc">|</span> \<span class="sc">---</span><span class="ot">-&gt;</span> genus, a <span class="dv">4-8</span> letter acronym</span>
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<span id="cb1-11"><a href="#cb1-11" tabindex="-1"></a> \<span class="sc">---</span><span class="ot">-&gt;</span> kingdom<span class="sc">:</span> <span class="fu">A</span> (Archaea), <span class="fu">AN</span> (Animalia), <span class="fu">B</span> (Bacteria),</span>
<span id="cb1-12"><a href="#cb1-12" tabindex="-1"></a> <span class="fu">C</span> (Chromista), <span class="fu">F</span> (Fungi), <span class="fu">PL</span> (Plantae),</span>
<span id="cb1-13"><a href="#cb1-13" tabindex="-1"></a> <span class="fu">P</span> (Protozoa)</span></code></pre><p></p></div>
<p>Values that cannot be coerced will be considered 'unknown' and will return the MO code <code>UNKNOWN</code> with a warning.</p>
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<p>Use the <code><a href="mo_property.html">mo_*</a></code> functions to get properties based on the returned code, see <em>Examples</em>.</p>
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<p>The <code>as.mo()</code> function uses a novel and scientifically validated (<a href="https://doi.org/10.18637/jss.v104.i03" class="external-link">doi:10.18637/jss.v104.i03</a>
) matching score algorithm (see <em>Matching Score for Microorganisms</em> below) to match input against the <a href="microorganisms.html">available microbial taxonomy</a> in this package. This implicates that e.g. <code>"E. coli"</code> (a microorganism highly prevalent in humans) will return the microbial ID of <em>Escherichia coli</em> and not <em>Entamoeba coli</em> (a microorganism less prevalent in humans), although the latter would alphabetically come first.</p><div class="section">
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<h3 id="coping-with-uncertain-results">Coping with Uncertain Results<a class="anchor" aria-label="anchor" href="#coping-with-uncertain-results"></a></h3>
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<p>Results of non-exact taxonomic input are based on their <a href="mo_matching_score.html">matching score</a>. The lowest allowed score can be set with the <code>minimum_matching_score</code> argument. At default this will be determined based on the character length of the input, the <a href="microorganisms.html">taxonomic kingdom</a>, and the <a href="mo_matching_score.html">human pathogenicity</a> of the taxonomic outcome. If values are matched with uncertainty, a message will be shown to suggest the user to inspect the results with <code>mo_uncertainties()</code>, which returns a <a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a> with all specifications.</p>
<p>To increase the quality of matching, the <code>cleaning_regex</code> argument is used to clean the input. This must be a <a href="https://rdrr.io/r/base/regex.html" class="external-link">regular expression</a> that matches parts of the input that should be removed before the input is matched against the <a href="microorganisms.html">available microbial taxonomy</a>. It will be matched Perl-compatible and case-insensitive. The default value of <code>cleaning_regex</code> is the outcome of the helper function <code>mo_cleaning_regex()</code>.</p>
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<p>There are three helper functions that can be run after using the <code>as.mo()</code> function:</p><ul><li><p>Use <code>mo_uncertainties()</code> to get a <a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a> that prints in a pretty format with all taxonomic names that were guessed. The output contains the matching score for all matches (see <em>Matching Score for Microorganisms</em> below).</p></li>
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<li><p>Use <code>mo_failures()</code> to get a <a href="https://rdrr.io/r/base/character.html" class="external-link">character</a> <a href="https://rdrr.io/r/base/vector.html" class="external-link">vector</a> with all values that could not be coerced to a valid value.</p></li>
<li><p>Use <code>mo_renamed()</code> to get a <a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a> with all values that could be coerced based on old, previously accepted taxonomic names.</p></li>
</ul></div>
<div class="section">
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<h3 id="for-mycologists">For Mycologists<a class="anchor" aria-label="anchor" href="#for-mycologists"></a></h3>
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<p>The <a href="mo_matching_score.html">matching score algorithm</a> gives precedence to bacteria over fungi. If you are only analysing fungi, be sure to use <code>only_fungi = TRUE</code>, or better yet, add this to your code and run it once every session:</p>
<p></p><div class="sourceCode r"><pre><code><span><span class="fu"><a href="https://rdrr.io/r/base/options.html" class="external-link">options</a></span><span class="op">(</span>AMR_only_fungi <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></code></pre><p></p></div>
<p>This will make sure that no bacteria or other 'non-fungi' will be returned by <code>as.mo()</code>, or any of the <code><a href="mo_property.html">mo_*</a></code> functions.</p>
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</div>
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<div class="section">
<h3 id="coagulase-negative-and-coagulase-positive-staphylococci">Coagulase-negative and Coagulase-positive Staphylococci<a class="anchor" aria-label="anchor" href="#coagulase-negative-and-coagulase-positive-staphylococci"></a></h3>
<p>With <code>Becker = TRUE</code>, the following staphylococci will be converted to their corresponding coagulase group:</p><ul><li><p>Coagulase-negative: <em>S. americanisciuri</em>, <em>S. argensis</em>, <em>S. arlettae</em>, <em>S. auricularis</em>, <em>S. borealis</em>, <em>S. brunensis</em>, <em>S. caeli</em>, <em>S. caledonicus</em>, <em>S. canis</em>, <em>S. capitis</em>, <em>S. capitis capitis</em>, <em>S. capitis urealyticus</em>, <em>S. capitis ureolyticus</em>, <em>S. caprae</em>, <em>S. carnosus</em>, <em>S. carnosus carnosus</em>, <em>S. carnosus utilis</em>, <em>S. casei</em>, <em>S. caseolyticus</em>, <em>S. chromogenes</em>, <em>S. cohnii</em>, <em>S. cohnii cohnii</em>, <em>S. cohnii urealyticum</em>, <em>S. cohnii urealyticus</em>, <em>S. condimenti</em>, <em>S. croceilyticus</em>, <em>S. debuckii</em>, <em>S. devriesei</em>, <em>S. durrellii</em>, <em>S. edaphicus</em>, <em>S. epidermidis</em>, <em>S. equorum</em>, <em>S. equorum equorum</em>, <em>S. equorum linens</em>, <em>S. felis</em>, <em>S. fleurettii</em>, <em>S. gallinarum</em>, <em>S. haemolyticus</em>, <em>S. hominis</em>, <em>S. hominis hominis</em>, <em>S. hominis novobiosepticus</em>, <em>S. jettensis</em>, <em>S. kloosii</em>, <em>S. lentus</em>, <em>S. lloydii</em>, <em>S. lugdunensis</em>, <em>S. marylandisciuri</em>, <em>S. massiliensis</em>, <em>S. microti</em>, <em>S. muscae</em>, <em>S. nepalensis</em>, <em>S. pasteuri</em>, <em>S. petrasii</em>, <em>S. petrasii croceilyticus</em>, <em>S. petrasii jettensis</em>, <em>S. petrasii petrasii</em>, <em>S. petrasii pragensis</em>, <em>S. pettenkoferi</em>, <em>S. piscifermentans</em>, <em>S. pragensis</em>, <em>S. pseudoxylosus</em>, <em>S. pulvereri</em>, <em>S. ratti</em>, <em>S. rostri</em>, <em>S. saccharolyticus</em>, <em>S. saprophyticus</em>, <em>S. saprophyticus bovis</em>, <em>S. saprophyticus saprophyticus</em>, <em>S. schleiferi</em>, <em>S. schleiferi schleiferi</em>, <em>S. sciuri</em>, <em>S. sciuri carnaticus</em>, <em>S. sciuri lentus</em>, <em>S. sciuri rodentium</em>, <em>S. sciuri sciuri</em>, <em>S. shinii</em>, <em>S. simulans</em>, <em>S. stepanovicii</em>, <em>S. succinus</em>, <em>S. succinus casei</em>, <em>S. succinus succinus</em>, <em>S. taiwanensis</em>, <em>S. urealyticus</em>, <em>S. ureilyticus</em>, <em>S. veratri</em>, <em>S. vitulinus</em>, <em>S. vitulus</em>, <em>S. warneri</em>, and <em>S. xylosus</em></p></li>
<li><p>Coagulase-positive: <em>S. agnetis</em>, <em>S. argenteus</em>, <em>S. coagulans</em>, <em>S. cornubiensis</em>, <em>S. delphini</em>, <em>S. hyicus</em>, <em>S. hyicus chromogenes</em>, <em>S. hyicus hyicus</em>, <em>S. intermedius</em>, <em>S. lutrae</em>, <em>S. pseudintermedius</em>, <em>S. roterodami</em>, <em>S. schleiferi coagulans</em>, <em>S. schweitzeri</em>, <em>S. simiae</em>, and <em>S. singaporensis</em></p></li>
</ul><p>This is based on:</p><ul><li><p>Becker K <em>et al.</em> (2014). <strong>Coagulase-Negative Staphylococci.</strong> <em>Clin Microbiol Rev.</em> 27(4): 870-926; <a href="https://doi.org/10.1128/CMR.00109-13" class="external-link">doi:10.1128/CMR.00109-13</a></p></li>
<li><p>Becker K <em>et al.</em> (2019). <strong>Implications of identifying the recently defined members of the <em>S. aureus</em> complex, <em>S. argenteus</em> and <em>S. schweitzeri</em>: A position paper of members of the ESCMID Study Group for staphylococci and Staphylococcal Diseases (ESGS).</strong> <em>Clin Microbiol Infect</em>; <a href="https://doi.org/10.1016/j.cmi.2019.02.028" class="external-link">doi:10.1016/j.cmi.2019.02.028</a></p></li>
<li><p>Becker K <em>et al.</em> (2020). <strong>Emergence of coagulase-negative staphylococci.</strong> <em>Expert Rev Anti Infect Ther.</em> 18(4):349-366; <a href="https://doi.org/10.1080/14787210.2020.1730813" class="external-link">doi:10.1080/14787210.2020.1730813</a></p></li>
</ul><p>For newly named staphylococcal species, such as <em>S. brunensis</em> (2024) and <em>S. shinii</em> (2023), we looked up the scientific reference to make sure the species are considered for the correct coagulase group.</p>
</div>
<div class="section">
<h3 id="lancefield-groups-in-streptococci">Lancefield Groups in Streptococci<a class="anchor" aria-label="anchor" href="#lancefield-groups-in-streptococci"></a></h3>
<p>With <code>Lancefield = TRUE</code>, the following streptococci will be converted to their corresponding Lancefield group:</p><ul><li><p>Streptococcus Group A: <em>S. pyogenes</em></p></li>
<li><p>Streptococcus Group B: <em>S. agalactiae</em></p></li>
<li><p>Streptococcus Group C: <em>S. dysgalactiae</em>, <em>S. dysgalactiae dysgalactiae</em>, <em>S. dysgalactiae equisimilis</em>, <em>S. equi</em>, <em>S. equi equi</em>, <em>S. equi ruminatorum</em>, and <em>S. equi zooepidemicus</em></p></li>
<li><p>Streptococcus Group F: <em>S. anginosus</em>, <em>S. anginosus anginosus</em>, <em>S. anginosus whileyi</em>, <em>S. constellatus</em>, <em>S. constellatus constellatus</em>, <em>S. constellatus pharyngis</em>, <em>S. constellatus viborgensis</em>, and <em>S. intermedius</em></p></li>
<li><p>Streptococcus Group G: <em>S. canis</em>, <em>S. dysgalactiae</em>, <em>S. dysgalactiae dysgalactiae</em>, and <em>S. dysgalactiae equisimilis</em></p></li>
<li><p>Streptococcus Group H: <em>S. sanguinis</em></p></li>
<li><p>Streptococcus Group K: <em>S. salivarius</em>, <em>S. salivarius salivarius</em>, and <em>S. salivarius thermophilus</em></p></li>
<li><p>Streptococcus Group L: <em>S. dysgalactiae</em>, <em>S. dysgalactiae dysgalactiae</em>, and <em>S. dysgalactiae equisimilis</em></p></li>
</ul><p>This is based on:</p><ul><li><p>Lancefield RC (1933). <strong>A serological differentiation of human and other groups of hemolytic streptococci.</strong> <em>J Exp Med.</em> 57(4): 571-95; <a href="https://doi.org/10.1084/jem.57.4.571" class="external-link">doi:10.1084/jem.57.4.571</a></p></li>
</ul></div>
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</div>
<div class="section level2">
<h2 id="source">Source<a class="anchor" aria-label="anchor" href="#source"></a></h2>
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<ul><li><p>Berends MS <em>et al.</em> (2022). <strong>AMR: An R Package for Working with Antimicrobial Resistance Data</strong>. <em>Journal of Statistical Software</em>, 104(3), 1-31; <a href="https://doi.org/10.18637/jss.v104.i03" class="external-link">doi:10.18637/jss.v104.i03</a></p></li>
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<li><p>Parte, AC <em>et al.</em> (2020). <strong>List of Prokaryotic names with Standing in Nomenclature (LPSN) moves to the DSMZ.</strong> International Journal of Systematic and Evolutionary Microbiology, 70, 5607-5612; <a href="https://doi.org/10.1099/ijsem.0.004332" class="external-link">doi:10.1099/ijsem.0.004332</a>
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. Accessed from <a href="https://lpsn.dsmz.de" class="external-link">https://lpsn.dsmz.de</a> on June 24th, 2024.</p></li>
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<li><p>Vincent, R <em>et al</em> (2013). <strong>MycoBank gearing up for new horizons.</strong> IMA Fungus, 4(2), 371-9; <a href="https://doi.org/10.5598/imafungus.2013.04.02.16" class="external-link">doi:10.5598/imafungus.2013.04.02.16</a>
. Accessed from <a href="https://www.mycobank.org" class="external-link">https://www.mycobank.org</a> on June 24th, 2024.</p></li>
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<li><p>GBIF Secretariat (2023). GBIF Backbone Taxonomy. Checklist dataset <a href="https://doi.org/10.15468/39omei" class="external-link">doi:10.15468/39omei</a>
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. Accessed from <a href="https://www.gbif.org" class="external-link">https://www.gbif.org</a> on June 24th, 2024.</p></li>
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<li><p>Reimer, LC <em>et al.</em> (2022). <strong><em>BacDive</em> in 2022: the knowledge base for standardized bacterial and archaeal data.</strong> Nucleic Acids Res., 50(D1):D741-D74; <a href="https://doi.org/10.1093/nar/gkab961" class="external-link">doi:10.1093/nar/gkab961</a>
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. Accessed from <a href="https://bacdive.dsmz.de" class="external-link">https://bacdive.dsmz.de</a> on July 16th, 2024.</p></li>
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<li><p>Public Health Information Network Vocabulary Access and Distribution System (PHIN VADS). US Edition of SNOMED CT from 1 September 2020. Value Set Name 'Microorganism', OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a href="https://phinvads.cdc.gov" class="external-link">https://phinvads.cdc.gov</a></p></li>
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<li><p>Bartlett A <em>et al.</em> (2022). <strong>A comprehensive list of bacterial pathogens infecting humans</strong> <em>Microbiology</em> 168:001269; <a href="https://doi.org/10.1099/mic.0.001269" class="external-link">doi:10.1099/mic.0.001269</a></p></li>
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</ul></div>
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<div class="section level2">
<h2 id="matching-score-for-microorganisms">Matching Score for Microorganisms<a class="anchor" aria-label="anchor" href="#matching-score-for-microorganisms"></a></h2>
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<p>With ambiguous user input in <code>as.mo()</code> and all the <code><a href="mo_property.html">mo_*</a></code> functions, the returned results are chosen based on their matching score using <code><a href="mo_matching_score.html">mo_matching_score()</a></code>. This matching score \(m\), is calculated as:</p>
<p><img src="figures/mo_matching_score.png" width="300" alt="mo matching score"></p>
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<p>where:</p><ul><li><p>\(x\) is the user input;</p></li>
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<li><p>\(n\) is a taxonomic name (genus, species, and subspecies);</p></li>
<li><p>\(l_n\) is the length of \(n\);</p></li>
<li><p>\(lev\) is the <a href="https://en.wikipedia.org/wiki/Levenshtein_distance" class="external-link">Levenshtein distance function</a> (counting any insertion as 1, and any deletion or substitution as 2) that is needed to change \(x\) into \(n\);</p></li>
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<li><p>\(p_n\) is the human pathogenic prevalence group of \(n\), as described below;</p></li>
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<li><p>\(k_n\) is the taxonomic kingdom of \(n\), set as Bacteria = 1, Fungi = 1.25, Protozoa = 1.5, Chromista = 1.75, Archaea = 2, others = 3.</p></li>
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</ul><p>The grouping into human pathogenic prevalence \(p\) is based on recent work from Bartlett <em>et al.</em> (2022, <a href="https://doi.org/10.1099/mic.0.001269" class="external-link">doi:10.1099/mic.0.001269</a>
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) who extensively studied medical-scientific literature to categorise all bacterial species into these groups:</p><ul><li><p><strong>Established</strong>, if a taxonomic species has infected at least three persons in three or more references. These records have <code>prevalence = 1.15</code> in the <a href="microorganisms.html">microorganisms</a> data set;</p></li>
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<li><p><strong>Putative</strong>, if a taxonomic species has fewer than three known cases. These records have <code>prevalence = 1.25</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
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</ul><p>Furthermore,</p><ul><li><p>Genera from the World Health Organization's (WHO) Priority Pathogen List have <code>prevalence = 1.0</code> in the <a href="microorganisms.html">microorganisms</a> data set;</p></li>
<li><p>Any genus present in the <strong>established</strong> list also has <code>prevalence = 1.15</code> in the <a href="microorganisms.html">microorganisms</a> data set;</p></li>
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<li><p>Any other genus present in the <strong>putative</strong> list has <code>prevalence = 1.25</code> in the <a href="microorganisms.html">microorganisms</a> data set;</p></li>
<li><p>Any other species or subspecies of which the genus is present in the two aforementioned groups, has <code>prevalence = 1.5</code> in the <a href="microorganisms.html">microorganisms</a> data set;</p></li>
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<li><p>Any <em>non-bacterial</em> genus, species or subspecies of which the genus is present in the following list, has <code>prevalence = 1.25</code> in the <a href="microorganisms.html">microorganisms</a> data set: <em>Absidia</em>, <em>Acanthamoeba</em>, <em>Acremonium</em>, <em>Actinomucor</em>, <em>Aedes</em>, <em>Alternaria</em>, <em>Amoeba</em>, <em>Ancylostoma</em>, <em>Angiostrongylus</em>, <em>Anisakis</em>, <em>Anopheles</em>, <em>Apophysomyces</em>, <em>Arthroderma</em>, <em>Aspergillus</em>, <em>Aureobasidium</em>, <em>Basidiobolus</em>, <em>Beauveria</em>, <em>Bipolaris</em>, <em>Blastobotrys</em>, <em>Blastocystis</em>, <em>Blastomyces</em>, <em>Candida</em>, <em>Capillaria</em>, <em>Chaetomium</em>, <em>Chilomastix</em>, <em>Chrysonilia</em>, <em>Chrysosporium</em>, <em>Cladophialophora</em>, <em>Cladosporium</em>, <em>Clavispora</em>, <em>Coccidioides</em>, <em>Cokeromyces</em>, <em>Conidiobolus</em>, <em>Coniochaeta</em>, <em>Contracaecum</em>, <em>Cordylobia</em>, <em>Cryptococcus</em>, <em>Cryptosporidium</em>, <em>Cunninghamella</em>, <em>Curvularia</em>, <em>Cyberlindnera</em>, <em>Debaryozyma</em>, <em>Demodex</em>, <em>Dermatobia</em>, <em>Dientamoeba</em>, <em>Diphyllobothrium</em>, <em>Dirofilaria</em>, <em>Echinostoma</em>, <em>Entamoeba</em>, <em>Enterobius</em>, <em>Epidermophyton</em>, <em>Exidia</em>, <em>Exophiala</em>, <em>Exserohilum</em>, <em>Fasciola</em>, <em>Fonsecaea</em>, <em>Fusarium</em>, <em>Geotrichum</em>, <em>Giardia</em>, <em>Graphium</em>, <em>Haloarcula</em>, <em>Halobacterium</em>, <em>Halococcus</em>, <em>Hansenula</em>, <em>Hendersonula</em>, <em>Heterophyes</em>, <em>Histomonas</em>, <em>Histoplasma</em>, <em>Hortaea</em>, <em>Hymenolepis</em>, <em>Hypomyces</em>, <em>Hysterothylacium</em>, <em>Kloeckera</em>, <em>Kluyveromyces</em>, <em>Kodamaea</em>, <em>Lacazia</em>, <em>Leishmania</em>, <em>Lichtheimia</em>, <em>Lodderomyces</em>, <em>Lomentospora</em>, <em>Madurella</em>, <em>Malassezia</em>, <em>Malbranchea</em>, <em>Metagonimus</em>, <em>Meyerozyma</em>, <em>Microsporidium</em>, <em>Microsporum</em>, <em>Millerozyma</em>, <em>Mortierella</em>, <em>Mucor</em>, <em>Mycocentrospora</em>, <em>Nannizzia</em>, <em>Necator</em>, <em>Nectria</em>, <em>Ochroconis</em>, <em>Oesophagostomum</em>, <em>Oidiodendron</em>, <em>Opisthorchis</em>, <em>Paecilomyces</em>, <em>Paracoccidioides</em>, <em>Pediculus</em>, <em>Penicillium</em>, <em>Phaeoacremonium</em>, <em>Phaeomoniella</em>, <em>Phialophora</em>, <em>Phlebotomus</em>, <em>Phoma</em>, <em>Pichia</em>, <em>Piedraia</em>, <em>Pithomyces</em>, <em>Pityrosporum</em>, <em>Pneumocystis</em>, <em>Pseudallescheria</em>, <em>Pseudoscopulariopsis</em>, <em>Pseudoterranova</em>, <em>Pulex</em>, <em>Purpureocillium</em>, <em>Quambalaria</em>, <em>Rhinocladiella</em>, <em>Rhizomucor</em>, <em>Rhizopus</em>, <em>Rhodotorula</em>, <em>Saccharomyces</em>, <em>Saksenaea</em>, <em>Saprochaete</em>, <em>Sarcoptes</em>, <em>Scedosporium</em>, <em>Schistosoma</em>, <em>Schizosaccharomyces</em>, <em>Scolecobasidium</em>, <em>Scopulariopsis</em>, <em>Scytalidium</em>, <em>Spirometra</em>, <em>Sporobolomyces</em>, <em>Sporopachydermia</em>, <em>Sporothrix</em>, <em>Sporotrichum</em>, <em>Stachybotrys</em>, <em>Strongyloides</em>, <em>Syncephalastrum</em>, <em>Syngamus</em>, <em>Taenia</em>, <em>Talaromyces</em>, <em>Teleomorph</em>, <em>Toxocara</em>, <em>Trichinella</em>, <em>Trichobilharzia</em>, <em>Trichoderma</em>, <em>Trichomonas</em>, <em>Trichophyton</em>, <em>Trichosporon</em>, <em>Trichostrongylus</em>, <em>Trichuris</em>, <em>Tritirachium</em>, <em>Trombicula</em>, <em>Trypanosoma</em>, <em>Tunga</em>, <em>Ulocladium</em>, <em>Ustilago</em>, <em>Verticillium</em>, <em>Wallemia</em>, <em>Wangiella</em>, <em>Wickerhamomyces</em>, <em>Wuchereria</em>, <em>Yarrowia</em>, or <em>Zygosaccharomyces</em>;</p></li>
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<li><p>All other records have <code>prevalence = 2.0</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
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</ul><p>When calculating the matching score, all characters in \(x\) and \(n\) are ignored that are other than A-Z, a-z, 0-9, spaces and parentheses.</p>
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<p>All matches are sorted descending on their matching score and for all user input values, the top match will be returned. This will lead to the effect that e.g., <code>"E. coli"</code> will return the microbial ID of <em>Escherichia coli</em> (\(m = 0.688\), a highly prevalent microorganism found in humans) and not <em>Entamoeba coli</em> (\(m = 0.381\), a less prevalent microorganism in humans), although the latter would alphabetically come first.</p>
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</div>
<div class="section level2">
<h2 id="reference-data-publicly-available">Reference Data Publicly Available<a class="anchor" aria-label="anchor" href="#reference-data-publicly-available"></a></h2>
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<p>All data sets in this <code>AMR</code> package (about microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) are publicly and freely available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, and Stata. We also provide tab-separated plain text files that are machine-readable and suitable for input in any software program, such as laboratory information systems. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
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</div>
<div class="section level2">
<h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
<div class="dont-index"><p><a href="microorganisms.html">microorganisms</a> for the <a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a> that is being used to determine ID's.</p>
<p>The <code><a href="mo_property.html">mo_*</a></code> functions (such as <code><a href="mo_property.html">mo_genus()</a></code>, <code><a href="mo_property.html">mo_gramstain()</a></code>) to get properties based on the returned code.</p></div>
</div>
<div class="section level2">
<h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
<div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># \donttest{</span></span></span>
<span class="r-in"><span><span class="co"># These examples all return "B_STPHY_AURS", the ID of S. aureus:</span></span></span>
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<span class="r-in"><span><span class="fu">as.mo</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span></span></span>
<span class="r-in"><span> <span class="st">"sau"</span>, <span class="co"># WHONET code</span></span></span>
<span class="r-in"><span> <span class="st">"stau"</span>,</span></span>
<span class="r-in"><span> <span class="st">"STAU"</span>,</span></span>
<span class="r-in"><span> <span class="st">"staaur"</span>,</span></span>
<span class="r-in"><span> <span class="st">"S. aureus"</span>,</span></span>
<span class="r-in"><span> <span class="st">"S aureus"</span>,</span></span>
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<span class="r-in"><span> <span class="st">"Sthafilokkockus aureus"</span>, <span class="co"># handles incorrect spelling</span></span></span>
<span class="r-in"><span> <span class="st">"Staphylococcus aureus (MRSA)"</span>,</span></span>
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<span class="r-in"><span> <span class="st">"MRSA"</span>, <span class="co"># Methicillin Resistant S. aureus</span></span></span>
<span class="r-in"><span> <span class="st">"VISA"</span>, <span class="co"># Vancomycin Intermediate S. aureus</span></span></span>
<span class="r-in"><span> <span class="st">"VRSA"</span>, <span class="co"># Vancomycin Resistant S. aureus</span></span></span>
<span class="r-in"><span> <span class="fl">115329001</span> <span class="co"># SNOMED CT code</span></span></span>
<span class="r-in"><span><span class="op">)</span><span class="op">)</span></span></span>
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<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'mo'</span>
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<span class="r-out co"><span class="r-pr">#&gt;</span> [1] B_STPHY_AURS B_STPHY_AURS B_STPHY_AURS B_STPHY_AURS B_STPHY_AURS</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [6] B_STPHY_AURS B_STPHY_AURS B_STPHY_AURS B_STPHY_AURS B_STPHY_AURS</span>
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<span class="r-out co"><span class="r-pr">#&gt;</span> [11] B_STPHY_AURS B_STPHY_AURS</span>
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<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># Dyslexia is no problem - these all work:</span></span></span>
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<span class="r-in"><span><span class="fu">as.mo</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span></span></span>
<span class="r-in"><span> <span class="st">"Ureaplasma urealyticum"</span>,</span></span>
<span class="r-in"><span> <span class="st">"Ureaplasma urealyticus"</span>,</span></span>
<span class="r-in"><span> <span class="st">"Ureaplasmium urealytica"</span>,</span></span>
<span class="r-in"><span> <span class="st">"Ureaplazma urealitycium"</span></span></span>
<span class="r-in"><span><span class="op">)</span><span class="op">)</span></span></span>
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<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'mo'</span>
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<span class="r-out co"><span class="r-pr">#&gt;</span> [1] B_URPLS_URLY B_URPLS_URLY B_URPLS_URLY B_URPLS_URLY</span>
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<span class="r-in"><span></span></span>
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<span class="r-in"><span><span class="co"># input will get cleaned up with the input given in the `cleaning_regex` argument,</span></span></span>
<span class="r-in"><span><span class="co"># which defaults to `mo_cleaning_regex()`:</span></span></span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/cat.html" class="external-link">cat</a></span><span class="op">(</span><span class="fu">mo_cleaning_regex</span><span class="op">(</span><span class="op">)</span>, <span class="st">"\n"</span><span class="op">)</span></span></span>
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<span class="r-out co"><span class="r-pr">#&gt;</span> ([^A-Za-z- \(\)\[\]{}]+|([({]|\[).+([})]|\])|(^| )( ?[a-z-]+[-](resistant|susceptible) ?|e?spp([^a-z]+|$)|e?ssp([^a-z]+|$)|serogr.?up[a-z]*|e?ss([^a-z]+|$)|e?sp([^a-z]+|$)|var([^a-z]+|$)|serovar[a-z]*|sube?species|biovar[a-z]*|e?species|Ig[ADEGM]|e?subsp|biotype|titer|dummy)) </span>
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<span class="r-in"><span></span></span>
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<span class="r-in"><span><span class="fu">as.mo</span><span class="op">(</span><span class="st">"Streptococcus group A"</span><span class="op">)</span></span></span>
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<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'mo'</span>
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<span class="r-out co"><span class="r-pr">#&gt;</span> [1] B_STRPT_GRPA</span>
<span class="r-in"><span></span></span>
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<span class="r-in"><span><span class="fu">as.mo</span><span class="op">(</span><span class="st">"S. epidermidis"</span><span class="op">)</span> <span class="co"># will remain species: B_STPHY_EPDR</span></span></span>
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<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'mo'</span>
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<span class="r-out co"><span class="r-pr">#&gt;</span> [1] B_STPHY_EPDR</span>
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<span class="r-in"><span><span class="fu">as.mo</span><span class="op">(</span><span class="st">"S. epidermidis"</span>, Becker <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span> <span class="co"># will not remain species: B_STPHY_CONS</span></span></span>
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<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'mo'</span>
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<span class="r-out co"><span class="r-pr">#&gt;</span> [1] B_STPHY_CONS</span>
<span class="r-in"><span></span></span>
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<span class="r-in"><span><span class="fu">as.mo</span><span class="op">(</span><span class="st">"S. pyogenes"</span><span class="op">)</span> <span class="co"># will remain species: B_STRPT_PYGN</span></span></span>
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<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'mo'</span>
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<span class="r-out co"><span class="r-pr">#&gt;</span> [1] B_STRPT_PYGN</span>
<span class="r-in"><span><span class="fu">as.mo</span><span class="op">(</span><span class="st">"S. pyogenes"</span>, Lancefield <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span> <span class="co"># will not remain species: B_STRPT_GRPA</span></span></span>
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<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'mo'</span>
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<span class="r-out co"><span class="r-pr">#&gt;</span> [1] B_STRPT_GRPA</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># All mo_* functions use as.mo() internally too (see ?mo_property):</span></span></span>
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<span class="r-in"><span><span class="fu"><a href="mo_property.html">mo_genus</a></span><span class="op">(</span><span class="st">"E. coli"</span><span class="op">)</span></span></span>
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<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "Escherichia"</span>
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<span class="r-in"><span><span class="fu"><a href="mo_property.html">mo_gramstain</a></span><span class="op">(</span><span class="st">"ESCO"</span><span class="op">)</span></span></span>
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<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "Gram-negative"</span>
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<span class="r-in"><span><span class="fu"><a href="mo_property.html">mo_is_intrinsic_resistant</a></span><span class="op">(</span><span class="st">"ESCCOL"</span>, ab <span class="op">=</span> <span class="st">"vanco"</span><span class="op">)</span></span></span>
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<span class="r-msg co"><span class="r-pr">#&gt;</span> Determining intrinsic resistance based on 'EUCAST Expert Rules' and</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'EUCAST Intrinsic Resistance and Unusual Phenotypes' v3.3 (2021). This note</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> will be shown once per session.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] TRUE</span>
<span class="r-in"><span><span class="co"># }</span></span></span>
</code></pre></div>
</div>
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<p><code>AMR</code> (for R). Free and open-source, licenced under the <a target="_blank" href="https://github.com/msberends/AMR/blob/main/LICENSE" class="external-link">GNU General Public License version 2.0 (GPL-2)</a>.<br>Developed at the <a target="_blank" href="https://www.rug.nl" class="external-link">University of Groningen</a> and <a target="_blank" href="https://www.umcg.nl" class="external-link">University Medical Center Groningen</a> in The Netherlands.</p>
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