Changeset 6141 for trunk/HELP_SOURCE/oldhelp/awt_csp.hlp

Timestamp:

14/08/09 16:29:27 (3 years ago)

Author:

westram

Message:

• spellchecked all (phew)

Files:

• trunk/HELP_SOURCE/oldhelp/awt_csp.hlp (modified) (5 diffs)

trunk/HELP_SOURCE/oldhelp/awt_csp.hlp

@@ -9 +9 @@
 
 #************* Title of helpfile !! and start of real helpfile strunk********
-TITLE           Estimate Parameters from Coloumn Statistics
+TITLE           Estimate Parameters from Column Statistics
 
 OCCURRENCE      ARB_DIST
 
-DESCRIPTION     In a standart RNA, base frequencies are not equally
+DESCRIPTION     In a standard RNA, base frequencies are not equally
                 distributed. Especially in the archea subclass we find
                 extremely G+C rich sequences.
@@ -26 +26 @@
                 parts have a significant higher G+C content than non
                 helical parts.
-                One strait forward algorhythm would calculate each frequency
-                independently for each coloumn.
+                One strait forward algorithm would calculate each frequency
+                independently for each column.
                 Especially for small datasets the resulting frequencies would
                 look like random data, as too few examples are analyzed.
@@ -33 +33 @@
                 In ARB we implemented a combination of the 2 approaches.
                         Lets say we want to estimate a Parameter 'P' with
-                        a maximum variance 'maxvar', so we need a minumum
+                        a maximum variance 'maxvar', so we need a minimum
                         samples 'minsap'.
 
@@ -45 +45 @@
                           minimum of independent events.
 
-                        - The final parameter estimate for a coloumn is a
+                        - The final parameter estimate for a column is a
                           weighted sum between the estimate for the
                           cluster and the estimate for the single position.
 
-                You can give your favourite method a higher weight by
-                controlling the smothing parameter:
+                You can give your favorite method a higher weight by
+                controlling the smoothing parameter:
 
                         Less smoothing -> independent parameter estimates
@@ -71 +71 @@
 
                          1. Much smoothing of parameters is selected and
-                         2. your are anlazing ribosomal RNA and
+                         2. you are analyzing ribosomal RNA and
                          3. 'Use Helix Information' is turned off