From a0bc435277d30b2d81e9b8c16a94aa30995da06b Mon Sep 17 00:00:00 2001
From: amwaterhouse
Date: Mon, 20 Mar 2006 14:34:20 +0000
Subject: [PATCH] typo
---
help/html/webServices/jnet.html | 10 +++++-----
1 file changed, 5 insertions(+), 5 deletions(-)
diff --git a/help/html/webServices/jnet.html b/help/html/webServices/jnet.html
index 6da34ef..a94ec44 100755
--- a/help/html/webServices/jnet.html
+++ b/help/html/webServices/jnet.html
@@ -8,7 +8,7 @@
Secondary structure prediction methods attempts to infer the likely secondary
structure for a protein based on its amino acid composition and
similarity to sequences with known secondary structure. The JNet
-method uses several different neural metworks and decides on the
+method uses several different neural networks and decides on the
most likely prediction via a jury network.
- Cuff J. A and Barton G.J (1999) Application of enhanced multiple
@@ -16,9 +16,9 @@ sequence alignment profiles to improve protein secondary
structure prediction Proteins 40 502-511
The function available from the Web Service→Secondary
-Structure Prediction→JNet Secondary Structure
-Prediction menu does two different kinds of prediction,
-dependent upon the currently selected region:
+Structure Prediction→JNet Secondary Structure
+Prediction menu does two different kinds of prediction,
+dependent upon the currently selected region:
- If nothing is selected, and the displayed sequences appear to
be aligned, then a JNet prediction will be run for the first
@@ -34,7 +34,7 @@ for homolog detection and prediction.
then the alignment will be used for a Jnet prediction on the
first sequence selected in the set (that is, the one
nearest the top of the alignment window).
-
+
The result of a JNet prediction for a sequence is a new annotated
alignment window:
--
1.7.10.2