WSTester updated to work plus hopefully all the other changes that need to go into...
[jabaws.git] / binaries / src / ViennaRNA / doc / html / group__kl__neighborhood__stochbt.html
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+<title>RNAlib-2.1.2: Stochastic Backtracking of Structures from Distance Based Partitioning</title>
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+   <div id="projectname">RNAlib-2.1.2
+   </div>
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+</script>
+<div id="doc-content">
+<div class="header">
+  <div class="summary">
+<a href="#func-members">Functions</a>  </div>
+  <div class="headertitle">
+<div class="title">Stochastic Backtracking of Structures from Distance Based Partitioning</div>  </div>
+<div class="ingroups"><a class="el" href="group__kl__neighborhood.html">Distance based partitioning of the Secondary Structure Space</a> &#124; <a class="el" href="group__subopt__stochbt.html">Stochastic backtracking in the Ensemble</a></div></div><!--header-->
+<div class="contents">
+
+<p>Contains functions related to stochastic backtracking from a specified distance class.  
+<a href="#details">More...</a></p>
+<div id="dynsection-0" onclick="return toggleVisibility(this)" class="dynheader closed" style="cursor:pointer;">
+  <img id="dynsection-0-trigger" src="closed.png" alt="+"/> Collaboration diagram for Stochastic Backtracking of Structures from Distance Based Partitioning:</div>
+<div id="dynsection-0-summary" class="dynsummary" style="display:block;">
+</div>
+<div id="dynsection-0-content" class="dyncontent" style="display:none;">
+<center><table><tr><td><img src="group__kl__neighborhood__stochbt.png" border="0" alt="" usemap="#group____kl____neighborhood____stochbt"/>
+<map name="group____kl____neighborhood____stochbt" id="group____kl____neighborhood____stochbt">
+<area shape="rect" id="node2" href="group__kl__neighborhood.html" title="Compute Thermodynamic properties for a Distance Class Partitioning of the Secondary Structure Space..." alt="" coords="5,5,248,46"/><area shape="rect" id="node3" href="group__subopt__stochbt.html" title="Stochastic backtracking\l in the Ensemble" alt="" coords="39,70,214,111"/></map>
+</td></tr></table></center>
+</div>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2><a name="func-members"></a>
+Functions</h2></td></tr>
+<tr class="memitem:gae251288f50dd4ae7d315af0085775f71"><td class="memItemLeft" align="right" valign="top">char *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__kl__neighborhood__stochbt.html#gae251288f50dd4ae7d315af0085775f71">TwoDpfold_pbacktrack</a> (<a class="el" href="structTwoDpfold__vars.html">TwoDpfold_vars</a> *vars, int d1, int d2)</td></tr>
+<tr class="memdesc:gae251288f50dd4ae7d315af0085775f71"><td class="mdescLeft">&#160;</td><td class="mdescRight">Sample secondary structure representatives from a set of distance classes according to their Boltzmann probability.  <a href="#gae251288f50dd4ae7d315af0085775f71"></a><br/></td></tr>
+<tr class="memitem:ga13430ac6a7f90df426774f131647d2c7"><td class="memItemLeft" align="right" valign="top">char *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__kl__neighborhood__stochbt.html#ga13430ac6a7f90df426774f131647d2c7">TwoDpfold_pbacktrack5</a> (<a class="el" href="structTwoDpfold__vars.html">TwoDpfold_vars</a> *vars, int d1, int d2, unsigned int length)</td></tr>
+<tr class="memdesc:ga13430ac6a7f90df426774f131647d2c7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Sample secondary structure representatives with a specified length from a set of distance classes according to their Boltzmann probability.  <a href="#ga13430ac6a7f90df426774f131647d2c7"></a><br/></td></tr>
+</table>
+<hr/><a name="details" id="details"></a><h2>Detailed Description</h2>
+<p>Contains functions related to stochastic backtracking from a specified distance class. </p>
+<hr/><h2>Function Documentation</h2>
+<a class="anchor" id="gae251288f50dd4ae7d315af0085775f71"></a>
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">char* TwoDpfold_pbacktrack </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="structTwoDpfold__vars.html">TwoDpfold_vars</a> *&#160;</td>
+          <td class="paramname"><em>vars</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">int&#160;</td>
+          <td class="paramname"><em>d1</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">int&#160;</td>
+          <td class="paramname"><em>d2</em>&#160;</td>
+        </tr>
+        <tr>
+          <td></td>
+          <td>)</td>
+          <td></td><td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p>Sample secondary structure representatives from a set of distance classes according to their Boltzmann probability. </p>
+<p>If the argument 'd1' is set to '-1', the structure will be backtracked in the distance class where all structures exceeding the maximum basepair distance to either of the references reside.</p>
+<dl class="section pre"><dt>Precondition:</dt><dd>The argument 'vars' must contain precalculated partition function matrices, i.e. a call to <a class="el" href="group__kl__neighborhood__pf.html#ga3e1cd3b24eb635c65181182cbb4ae3eb" title="Compute the partition function for all distance classes.">TwoDpfoldList()</a> preceding this function is mandatory!</dd></dl>
+<dl class="section see"><dt>See also:</dt><dd><a class="el" href="group__kl__neighborhood__pf.html#ga3e1cd3b24eb635c65181182cbb4ae3eb" title="Compute the partition function for all distance classes.">TwoDpfoldList()</a></dd></dl>
+<dl class="params"><dt>Parameters:</dt><dd>
+  <table class="params">
+    <tr><td class="paramdir">[in]</td><td class="paramname">vars</td><td>the datastructure containing all necessary folding attributes and matrices </td></tr>
+    <tr><td class="paramdir">[in]</td><td class="paramname">d1</td><td>the distance to reference1 (may be -1) </td></tr>
+    <tr><td class="paramdir">[in]</td><td class="paramname">d2</td><td>the distance to reference2 </td></tr>
+  </table>
+  </dd>
+</dl>
+<dl class="section return"><dt>Returns:</dt><dd>A sampled secondary structure in dot-bracket notation </dd></dl>
+
+</div>
+</div>
+<a class="anchor" id="ga13430ac6a7f90df426774f131647d2c7"></a>
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">char* TwoDpfold_pbacktrack5 </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="structTwoDpfold__vars.html">TwoDpfold_vars</a> *&#160;</td>
+          <td class="paramname"><em>vars</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">int&#160;</td>
+          <td class="paramname"><em>d1</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">int&#160;</td>
+          <td class="paramname"><em>d2</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">unsigned int&#160;</td>
+          <td class="paramname"><em>length</em>&#160;</td>
+        </tr>
+        <tr>
+          <td></td>
+          <td>)</td>
+          <td></td><td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p>Sample secondary structure representatives with a specified length from a set of distance classes according to their Boltzmann probability. </p>
+<p>This function does essentially the same as TwoDpfold_pbacktrack with the only difference that partial structures, i.e. structures beginning from the 5' end with a specified length of the sequence, are backtracked</p>
+<dl class="section note"><dt>Note:</dt><dd>This function does not work (since it makes no sense) for circular RNA sequences! </dd></dl>
+<dl class="section pre"><dt>Precondition:</dt><dd>The argument 'vars' must contain precalculated partition function matrices, i.e. a call to <a class="el" href="group__kl__neighborhood__pf.html#ga3e1cd3b24eb635c65181182cbb4ae3eb" title="Compute the partition function for all distance classes.">TwoDpfoldList()</a> preceding this function is mandatory!</dd></dl>
+<dl class="section see"><dt>See also:</dt><dd><a class="el" href="group__kl__neighborhood__stochbt.html#gae251288f50dd4ae7d315af0085775f71" title="Sample secondary structure representatives from a set of distance classes according to their Boltzman...">TwoDpfold_pbacktrack()</a>, <a class="el" href="group__kl__neighborhood__pf.html#ga3e1cd3b24eb635c65181182cbb4ae3eb" title="Compute the partition function for all distance classes.">TwoDpfoldList()</a></dd></dl>
+<dl class="params"><dt>Parameters:</dt><dd>
+  <table class="params">
+    <tr><td class="paramdir">[in]</td><td class="paramname">vars</td><td>the datastructure containing all necessary folding attributes and matrices </td></tr>
+    <tr><td class="paramdir">[in]</td><td class="paramname">d1</td><td>the distance to reference1 (may be -1) </td></tr>
+    <tr><td class="paramdir">[in]</td><td class="paramname">d2</td><td>the distance to reference2 </td></tr>
+    <tr><td class="paramdir">[in]</td><td class="paramname">length</td><td>the length of the structure beginning from the 5' end </td></tr>
+  </table>
+  </dd>
+</dl>
+<dl class="section return"><dt>Returns:</dt><dd>A sampled secondary structure in dot-bracket notation </dd></dl>
+
+</div>
+</div>
+</div><!-- contents -->
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