From 76c1f93b658b64b71f6462fbb214c6664162252d Mon Sep 17 00:00:00 2001 From: David Seifert Date: Sat, 25 Nov 2017 17:47:47 +0100 Subject: sci-biology/vienna-rna: [QA] Consistent whitespace in metadata.xml --- sci-biology/vienna-rna/metadata.xml | 42 ++++++++++++++++++------------------- 1 file changed, 21 insertions(+), 21 deletions(-) (limited to 'sci-biology') diff --git a/sci-biology/vienna-rna/metadata.xml b/sci-biology/vienna-rna/metadata.xml index 861e9e38c31c..bbc3d41fb4a6 100644 --- a/sci-biology/vienna-rna/metadata.xml +++ b/sci-biology/vienna-rna/metadata.xml @@ -1,25 +1,25 @@ - - sci-biology@gentoo.org - Gentoo Biology Project - - - The Vienna RNA Package consists of a C code library and several - stand-alone programs for the prediction and comparison of RNA secondary - structures. 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 and 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 and Zhang 1990). Finally, we provide an algorithm to design - sequences with a predefined structure (inverse folding). - + + sci-biology@gentoo.org + Gentoo Biology Project + + + The Vienna RNA Package consists of a C code library and several + stand-alone programs for the prediction and comparison of RNA secondary + structures. 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 and 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 and Zhang 1990). Finally, we provide an algorithm to design + sequences with a predefined structure (inverse folding). + -- cgit v1.2.3-65-gdbad