aboutsummaryrefslogtreecommitdiff
path: root/academic/CAFS_divergence
diff options
context:
space:
mode:
authorB. Watson <yalhcru@gmail.com>2020-10-08 16:46:13 -0400
committerWilly Sudiarto Raharjo <willysr@slackbuilds.org>2020-10-17 09:36:33 +0700
commitb93bc3c89b295981b9131a6aced3c0948c328e6b (patch)
tree2880c2c2fd32f7cbf1e8bd6ef7d4716d299e4e59 /academic/CAFS_divergence
parent5e041d152ccde328f30c4ae88934e6b8593059c6 (diff)
academic/CAFS_divergence: Fix README.
Signed-off-by: B. Watson <yalhcru@gmail.com> Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>
Diffstat (limited to 'academic/CAFS_divergence')
-rw-r--r--academic/CAFS_divergence/README29
1 files changed, 15 insertions, 14 deletions
diff --git a/academic/CAFS_divergence/README b/academic/CAFS_divergence/README
index 9320c2478616..61ae3acb06b3 100644
--- a/academic/CAFS_divergence/README
+++ b/academic/CAFS_divergence/README
@@ -1,24 +1,25 @@
CAFS: Clustering Analysis of Functional Shifts
-CAFS is a simple and fast method for Clustering functionally divergent (FD)
-genes by Functional Category.
+CAFS is a simple and fast method for Clustering functionally divergent
+(FD) genes by Functional Category.
-The method implemented in CAFS is one of several sequence-based methods
-for identifying the 'interesting' subset of substitutions that might
-underpin functional divergence. These methods are based on the idea of that
-functionally-important residues are highly conserved, so that evolutionary
-rates tend to be low at important sites. Functional divergence can then be
-identified by comparing rates (or levels of conservation) between two
-clades of proteins at a homologous site. Alternatively, a significant
-change in amino acid identity (such as a large, positively-charged residue
-in one group of sequences versus a small, neutral residue in the other)
-could indicate functional divergence even without a change in rate.
+The method implemented in CAFS is one of several sequence-based
+methods for identifying the 'interesting' subset of substitutions
+that might underpin functional divergence. These methods are based
+on the idea of that functionally-important residues are highly
+conserved, so that evolutionary rates tend to be low at important
+sites. Functional divergence can then be identified by comparing
+rates (or levels of conservation) between two clades of proteins at
+a homologous site. Alternatively, a significant change in amino acid
+identity (such as a large, positively-charged residue in one group of
+sequences versus a small, neutral residue in the other) could indicate
+functional divergence even without a change in rate.
This program analyses alignments and provides the user with the best
putative sites under functional divergence.
-NOTE: This only repackages the 64bit binary provided from upstream. A 32bit
-executable is not available.
+NOTE: This only repackages the 64bit binary provided from upstream. A
+32bit executable is not available.
Citing:
Caffrey BE, Williams TA, Jiang X, Toft C, Hokamp K, Fares MA (2011).