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03/47: gnu: Add r-bios2cor.


From: guix-commits
Subject: 03/47: gnu: Add r-bios2cor.
Date: Fri, 13 Dec 2019 16:42:13 -0500 (EST)

rekado pushed a commit to branch master
in repository guix.

commit db07641a676cf057597fb2e08bac7e391cb846d6
Author: Ricardo Wurmus <address@hidden>
Date:   Fri Dec 13 13:31:20 2019 +0100

    gnu: Add r-bios2cor.
    
    * gnu/packages/cran.scm (r-bios2cor): New variable.
---
 gnu/packages/cran.scm | 33 +++++++++++++++++++++++++++++++++
 1 file changed, 33 insertions(+)

diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm
index 1c3d40d..d6013d3 100644
--- a/gnu/packages/cran.scm
+++ b/gnu/packages/cran.scm
@@ -16044,3 +16044,36 @@ In addition, various utility functions are provided to 
enable the statistical
 and graphical power of the R environment to work with biological sequence and
 structural data.")
     (license license:gpl2+)))
+
+(define-public r-bios2cor
+  (package
+    (name "r-bios2cor")
+    (version "2.0")
+    (source
+     (origin
+       (method url-fetch)
+       (uri (cran-uri "Bios2cor" version))
+       (sha256
+        (base32
+         "1rrz0vs6wbkwys3l5jv1rdnlhyb4r1q9pv7jlnmsx6c1b4f4vz5n"))))
+    (properties `((upstream-name . "Bios2cor")))
+    (build-system r-build-system)
+    (propagated-inputs
+     `(("r-bigmemory" ,r-bigmemory)
+       ("r-bio3d" ,r-bio3d)
+       ("r-circular" ,r-circular)
+       ("r-igraph" ,r-igraph)))
+    (home-page "https://cran.r-project.org/web/packages/Bios2cor/";)
+    (synopsis "From biological sequences and simulations to correlation 
analysis")
+    (description
+     "This package provides utilities for computation and analysis of
+correlation/covariation in multiple sequence alignments and in side chain
+motions during molecular dynamics simulations.  Features include the
+computation of correlation/covariation scores using a variety of scoring
+functions between either sequence positions in alignments or side chain
+dihedral angles in molecular dynamics simulations and utilities to analyze the
+correlation/covariation matrix through a variety of tools including network
+representation and principal components analysis.  In addition, several
+utility functions are based on the R graphical environment to provide friendly
+tools for help in data interpretation.")
+    (license license:gpl2+)))



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