[med-svn] r6012 - trunk/packages/vienna-rna/trunk/debian

Steffen Möller moeller at alioth.debian.org
Thu Feb 17 11:16:41 UTC 2011


Author: moeller
Date: 2011-02-17 11:16:41 +0000 (Thu, 17 Feb 2011)
New Revision: 6012

Modified:
   trunk/packages/vienna-rna/trunk/debian/control
Log:
Fine-tuning of debian/control (we -> It, readability).


Modified: trunk/packages/vienna-rna/trunk/debian/control
===================================================================
--- trunk/packages/vienna-rna/trunk/debian/control	2011-02-17 10:28:29 UTC (rev 6011)
+++ trunk/packages/vienna-rna/trunk/debian/control	2011-02-17 11:16:41 UTC (rev 6012)
@@ -24,14 +24,17 @@
  in Vienna.
  .
  RNA secondary structure prediction through energy minimization is the
- most used function in the package. We provide three kinds of dynamic
- programming algorithms for structure prediction: the minimum free energy
- algorithm of (Zuker & Stiegler 1981) which yields a single optimal
- structure, the partition function algorithm of (McCaskill 1990) which
- calculates base pair probabilities in the thermodynamic ensemble, and
- the suboptimal folding algorithm of (Wuchty et.al 1999) which generates
- all suboptimal structures within a given energy range of the optimal
- energy. For secondary structure comparison, the package contains several
+ most used function in the package. It provides three kinds of dynamic
+ programming algorithms for structure prediction:
+  * the minimum free energy algorithm of (Zuker & Stiegler 1981) which
+    yields a single optimal structure, 
+  * the partition function algorithm of (McCaskill 1990) which calculates
+    base pair probabilities in the thermodynamic ensemble, and the
+    suboptimal folding algorithm of (Wuchty et.al 1999) which generates
+    all suboptimal structures within a given energy range of the optimal
+    energy.
+ .
+ For secondary structure comparison, the package contains several
  measures of distance (dissimilarities) using either string alignment or
  tree-editing (Shapiro & Zhang 1990). Finally, we provide an algorithm
  to design sequences with a predefined structure (inverse folding).




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